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Biblioteca

MARC Lista (tabellare)
Advances in Computational Mechanics and Applications [[electronic resource] ] : OES 2023 / / edited by Dimitrios Pavlou, Hojjat Adeli, José A. F. O. Correia, Nicholas Fantuzzi, Georgios C. Georgiou, Knut Erik Giljarhus, Yanyan Sha
Advances in Computational Mechanics and Applications [[electronic resource] ] : OES 2023 / / edited by Dimitrios Pavlou, Hojjat Adeli, José A. F. O. Correia, Nicholas Fantuzzi, Georgios C. Georgiou, Knut Erik Giljarhus, Yanyan Sha
Autore Pavlou Dimitrios
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (439 pages)
Disciplina 620.1
Altri autori (Persone) AdeliHojjat
CorreiaJosé A. F. O
FantuzziNicholas
GeorgiouGeorgios C
GiljarhusKnut Erik
ShaYanyan
Collana Structural Integrity
Soggetto topico Mechanics, Applied
Engineering mathematics
Engineering - Data processing
Engineering Mechanics
Mathematical and Computational Engineering Applications
ISBN 3-031-49791-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Mechanics of Solids and Structures: Fracture Mechanics -- Damage Mechanics -- Computational Mechanics -- Geomechanics -- Plasticity -- Visco-elasticity -- Smart Materials and Structures -- Fluid-Structure Interaction -- Hydroelasticity -- Aeroelasticity -- Mechanics of Fluids: Computational Fluid Dynamics -- Fluid-Structure Interaction -- Viscous Fluid Flow -- Turbulent Flow -- Multi-Phase Flow -- Hydroelasticity -- Aeroelasticity -- Dynamics & Vibrations: Soil Dynamics -- Rotor Dynamics -- Gyroscopic Effects -- Fluid-Structure Interaction -- Condition Monitoring -- Machine Learning and Applications to Civil and Mechanical Engineering -- Structural Health Monitoring and Sensors Technology -- Computational Natural Sciences and Mathematical Physics -- Biomimetics -- Multiphysics Simulation -- PDFs -- Nonlinear Systems.
Record Nr. UNINA-9910835053403321
Pavlou Dimitrios
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advances in Computer Science and Information Technology [[electronic resource] ] : AST/UCMA/ISA/ACN 2010 Conferences, Miyazaki, Japan, June 23-25, 2010. Joint Proceedings / / edited by Tai-hoon Kim, Hojjat Adeli
Advances in Computer Science and Information Technology [[electronic resource] ] : AST/UCMA/ISA/ACN 2010 Conferences, Miyazaki, Japan, June 23-25, 2010. Joint Proceedings / / edited by Tai-hoon Kim, Hojjat Adeli
Edizione [1st ed. 2010.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010
Descrizione fisica 1 online resource (XIII, 604 p. 261 illus.)
Disciplina 004
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Computer communication systems
Computer programming
Application software
Information storage and retrieval
Artificial intelligence
Algorithms
Computer Communication Networks
Programming Techniques
Information Systems Applications (incl. Internet)
Information Storage and Retrieval
Artificial Intelligence
Algorithm Analysis and Problem Complexity
ISBN 1-280-38711-4
9786613565037
3-642-13577-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Information Security and Assurance -- Fuzzy Based Threat Analysis in Total Hospital Information System -- An ID-Based Anonymous Signcryption Scheme for Multiple Receivers Secure in the Standard Model -- A Supervised Locality Preserving Projections Based Local Matching Algorithm for Face Recognition -- Information Systems Security Criticality and Assurance Evaluation -- Security Analysis of ‘Two–Factor User Authentication in Wireless Sensor Networks’ -- Directed Graph Pattern Synthesis in LSB Technique on Video Steganography -- Feature Level Fusion of Face and Palmprint Biometrics by Isomorphic Graph-Based Improved K-Medoids Partitioning -- Post-quantum Cryptography: Code-Based Signatures -- Security Analysis of the Proposed Practical Security Mechanisms for High Speed Data Transfer Protocol -- A Fuzzy-Based Dynamic Provision Approach for Virtualized Network Intrusion Detection Systems -- An Active Intrusion Detection System for LAN Specific Attacks -- Analysis on the Improved SVD-Based Watermarking Scheme -- Advanced Communication and Networking -- Applications of Adaptive Belief Propagation Decoding for Long Reed-Solomon Codes -- Dynamic Routing for Mitigating the Energy Hole Based on Heuristic Mobile Sink in Wireless Sensor Networks -- Grammar Encoding in DNA-Like Secret Sharing Infrastructure -- HATS: High Accuracy Timestamping System Based on NetFPGA -- A Roadside Unit Placement Scheme for Vehicular Telematics Networks -- Concurrent Covert Communication Channels -- Energy Efficiency of Collaborative Communication with Imperfect Frequency Synchronization in Wireless Sensor Networks -- High Performance MAC Architecture for 3GPP Modem -- Modified Structures of Viterbi Alogrithm for Forced-State Method in Concatenated Coding System of ISDB-T -- A New Cross-Layer Unstructured P2P File Sharing Protocol over Mobile Ad Hoc Network -- A Model for Interference on Links in Inter-working Multi-hop Wireless Networks -- An Optimum ICA Based Multiuser Data Separation for Short Message Service -- Advanced Computer Science and Information Technology -- Multiple Asynchronous Requests on a Client-Based Mashup Page -- Using an Integrated Ontology Database to Categorize Web Pages -- Topic Detection by Topic Model Induced Distance Using Biased Initiation -- Mining Significant Least Association Rules Using Fast SLP-Growth Algorithm -- Maximized Posteriori Attributes Selection from Facial Salient Landmarks for Face Recognition -- Agent Based Approach to Regression Testing -- A Numerical Study on B&B Algorithms for Solving Sum-Of-Ratios Problem -- Development of a Digital Textbook Standard Format Based on XML -- A Pattern-Based Representation Approach for Online Discourses -- A Fault Tolerant Architecture for Transportation Information Services of E-Government -- Design and Implementation of Binary Tree Based Proactive Routing Protocols for Large MANETS -- Extract Semantic Information from WordNet to Improve Text Classification Performance -- Managing Ubiquitous Scientific Knowledge on Semantic Web -- A Semantic Pattern Approach to Managing Scientific Publications -- A Bootstrap Software Reliability Assessment Method to Squeeze Out Remaining Faults -- Markov Chain Monte Carlo Random Testing -- An Integrated Approach to Detect Fault-Prone Modules Using Complexity and Text Feature Metrics -- Ubiquitous Computing and Multimedia Applications -- An Effective Video Steganography Method for Biometric Identification -- A Video Coding Technique Using Octagonal Motion Search and BTC-PF Method for Fast Reconstruction -- Rough Set Approach in Ultrasound Biomicroscopy Glaucoma Analysis -- Video Copy Detection: Sequence Matching Using Hypothesis Test -- An XML-Based Digital Textbook and Its Educational Effectiveness -- SIMACT: A 3D Open Source Smart Home Simulator for Activity Recognition -- Design of an Efficient Message Collecting Scheme for the Slot-Based Wireless Mesh Network -- A Novel Approach Based on Fault Tolerance and Recursive Segmentation to Query by Humming -- Chinese Prosody Generation Based on C-ToBI Representation for Text-To-Speech -- CAS4UA: A Context-Aware Service System Based on Workflow Model for Ubiquitous Agriculture -- A Power Control Scheme for an Energy-Efficient MAC Protocol -- Towards the Designing of a Robust Intrusion Detection System through an Optimized Advancement of Neural Networks.
Record Nr. UNISA-996465642503316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Artificial Computation in Biology and Medicine [[electronic resource] ] : International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2015, Elche, Spain, June 1-5, 2015, Proceedings, Part I / / edited by José Manuel Ferrández Vicente, José Ramón Álvarez-Sánchez, Félix de la Paz López, Fco. Javier Toledo-Moreo, Hojjat Adeli
Artificial Computation in Biology and Medicine [[electronic resource] ] : International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2015, Elche, Spain, June 1-5, 2015, Proceedings, Part I / / edited by José Manuel Ferrández Vicente, José Ramón Álvarez-Sánchez, Félix de la Paz López, Fco. Javier Toledo-Moreo, Hojjat Adeli
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (XXIV, 546 p. 224 illus.)
Disciplina 004.0151
Collana Theoretical Computer Science and General Issues
Soggetto topico Computer science
Algorithms
Artificial intelligence
Bioinformatics
Pattern recognition systems
Application software
Theory of Computation
Artificial Intelligence
Computational and Systems Biology
Automated Pattern Recognition
Computer and Information Systems Applications
ISBN 3-319-18914-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Automated Diagnosis of Alzheimer’s Disease by Integrating Genetic Biomarkers and Tissue Density Information -- A Neural Model of Number Interval Position Effect (NIPE) in Children -- A Volumetric Radial LBP Projection of MRI Brain Images for the Diagnosis of Alzheimer’s Disease -- Telemetry System for Cochlear Implant Using ASK Modulation and FPGA -- MBMEDA: An Application of Estimation of Distribution Algorithms to the Problem of Finding Biological Motifs -- Towards a Generic Simulation Tool of Retina Models -- Specialist Neurons in Feature Extraction Are Responsible for Pattern Recognition Process in Insect Olfaction -- Intensity Normalization of 123 I-ioflupane-SPECT Brain Images Using a Model-Based Multivariate Linear Regression Approach -- Independent Component Analysis-Based Classification of Alzheimer’s Disease from Segmented MRI Data -- Trajectories-State: A New Neural Mechanism to Interpretate Cerebral Dynamics -- Global and Local Features for Char Image Classification -- On the Automatic Tuning of a Retina Model by Using a Multi-objective Optimization Genetic Algorithm -- Creating Robots with Personality: The Effect of Personality on Social Intelligence -- Artificial Metaplasticity: Application to MIT-BIH Arrhythmias Database -- Toward an Upper-Limb Neurorehabilitation Platform Based on FES-Assisted Bilateral Movement: Decoding User’s Intentionality -- Decoding of Imaginary Motor Movements of Fists Applying Spatial Filtering in a BCI Simulated Application -- The Koniocortex-Like Network: A New Biologically Plausible Unsupervised Neural Network -- Towards an Integrated Semantic Framework for Neurological Multidimensional Data Analysis -- Some Results on Dynamic Causal Modeling of Auditory Hallucinations -- Retinal DOG Filters: High-pass or High-frequency Enhancing Filters? -- Spatio-temporal Dynamics of Images with Emotional Bivalence -- Interstimulus Interval Affects Population Response in Visual Cortex in vivo -- Towards the Reconstruction of Moving Images by Populations of Retinal Ganglion Cells -- FPGA Translation of Functional Hippocampal Cultures Structures Using Cellular Neural Networks -- Parkinson’s Disease Monitoring from Phonation Biomechanics -- Retinal DOG Filters: Effects of the Discretization Process -- Computable Representation of Antimicrobial Recommendations Using Clinical Rules: A Clinical Information Systems Perspective -- Abstracting Classification Models Heterogeneity to Build Clinical Group Diagnosis Support Systems.-. Using EEG Signals to Detect the Intention of Walking Initiation and Stop -- Low-cost Remote Monitoring of Biomedical Signals -- Asynchronous EEG/ERP Acquisition for EEG Teleservices -- A Machine Learning Approach to Prediction of Exacerbations of Chronic Obstructive Pulmonary Disease -- Brain-Computer Interfacing to Heuristic Search: First Results -- English Phonetics: A Learning Approach Based on EEG Feedback Analysis -- Dynamic Modelling of the Whole Heart Based on a Frequency Formulation and Implementation of Parametric Deformable Models -- Multimodal 3D Registration of Anatomic (MRI) and Functional (fMRI and PET) Intra-patient Images of the Brain -- Localisation of Pollen Grains in Digitised Real Daily Airborne Samples -- Estimation of the Arterial Diameter in Ultrasound Images of the Common Carotid Artery -- Comparison of Free Distribution Software for EEG Focal Epileptic Source Localization -- Weighted Filtering for Neural Activity Reconstruction Under Time Varying Constraints -- Neural Activity Estimation from EEG Using an Iterative Dynamic Inverse Problem Solution -- Supervised Brain Tissue Segmentation Using a Spatially Enhanced Similarity Metric -- iLU Preconditioning of the Anisotropic-Finite-Difference Based Solution for the EEG Forward Problem -- EEG Rhythm Extraction Based on Relevance Analysis and Customized Wavelet Transform -- Estimation of M/EEG Non-stationary Brain Activity Using Spatio-temporal Sparse Constraints -- Connectivity Analysis of Motor Imagery Paradigm Using Short-Time Features and Kernel Similarities -- Robust Linear Longitudinal Feedback Control of a Flapping Wing Micro Air Vehicle -- Use and Adoption of a Touch-Based Occupational Therapy Tool for People Suffering from Dementia -- Multisensory Treatment of the Hemispatial Neglect by Means of Virtual Reality and Haptic Techniques -- Evaluation of Color Preference for Emotion Regulation -- Elicitation of Emotions through Music: The Influence of Note Value -- Towards Emotionally Sensitive Conversational Interfaces for E-therapy -- Automatic Drawing Analysis of Figures Included in Neuropsychological Tests for the Assessment and Diagnosis of Mild Cognitive Impairment -- Identification of Loitering Human Behaviour in Video Surveillance Environments -- Stress Detection Using Wearable Physiological Sensors -- An Embedded Ground Change Detector for a “Smart Walker”.
Record Nr. UNISA-996200024203316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Artificial Computation in Biology and Medicine : International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2015, Elche, Spain, June 1-5, 2015, Proceedings, Part I / / edited by José Manuel Ferrández Vicente, José Ramón Álvarez-Sánchez, Félix de la Paz López, Fco. Javier Toledo-Moreo, Hojjat Adeli
Artificial Computation in Biology and Medicine : International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2015, Elche, Spain, June 1-5, 2015, Proceedings, Part I / / edited by José Manuel Ferrández Vicente, José Ramón Álvarez-Sánchez, Félix de la Paz López, Fco. Javier Toledo-Moreo, Hojjat Adeli
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (XXIV, 546 p. 224 illus.)
Disciplina 004.0151
Collana Theoretical Computer Science and General Issues
Soggetto topico Computer science
Algorithms
Artificial intelligence
Bioinformatics
Pattern recognition systems
Application software
Theory of Computation
Artificial Intelligence
Computational and Systems Biology
Automated Pattern Recognition
Computer and Information Systems Applications
ISBN 3-319-18914-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Automated Diagnosis of Alzheimer’s Disease by Integrating Genetic Biomarkers and Tissue Density Information -- A Neural Model of Number Interval Position Effect (NIPE) in Children -- A Volumetric Radial LBP Projection of MRI Brain Images for the Diagnosis of Alzheimer’s Disease -- Telemetry System for Cochlear Implant Using ASK Modulation and FPGA -- MBMEDA: An Application of Estimation of Distribution Algorithms to the Problem of Finding Biological Motifs -- Towards a Generic Simulation Tool of Retina Models -- Specialist Neurons in Feature Extraction Are Responsible for Pattern Recognition Process in Insect Olfaction -- Intensity Normalization of 123 I-ioflupane-SPECT Brain Images Using a Model-Based Multivariate Linear Regression Approach -- Independent Component Analysis-Based Classification of Alzheimer’s Disease from Segmented MRI Data -- Trajectories-State: A New Neural Mechanism to Interpretate Cerebral Dynamics -- Global and Local Features for Char Image Classification -- On the Automatic Tuning of a Retina Model by Using a Multi-objective Optimization Genetic Algorithm -- Creating Robots with Personality: The Effect of Personality on Social Intelligence -- Artificial Metaplasticity: Application to MIT-BIH Arrhythmias Database -- Toward an Upper-Limb Neurorehabilitation Platform Based on FES-Assisted Bilateral Movement: Decoding User’s Intentionality -- Decoding of Imaginary Motor Movements of Fists Applying Spatial Filtering in a BCI Simulated Application -- The Koniocortex-Like Network: A New Biologically Plausible Unsupervised Neural Network -- Towards an Integrated Semantic Framework for Neurological Multidimensional Data Analysis -- Some Results on Dynamic Causal Modeling of Auditory Hallucinations -- Retinal DOG Filters: High-pass or High-frequency Enhancing Filters? -- Spatio-temporal Dynamics of Images with Emotional Bivalence -- Interstimulus Interval Affects Population Response in Visual Cortex in vivo -- Towards the Reconstruction of Moving Images by Populations of Retinal Ganglion Cells -- FPGA Translation of Functional Hippocampal Cultures Structures Using Cellular Neural Networks -- Parkinson’s Disease Monitoring from Phonation Biomechanics -- Retinal DOG Filters: Effects of the Discretization Process -- Computable Representation of Antimicrobial Recommendations Using Clinical Rules: A Clinical Information Systems Perspective -- Abstracting Classification Models Heterogeneity to Build Clinical Group Diagnosis Support Systems.-. Using EEG Signals to Detect the Intention of Walking Initiation and Stop -- Low-cost Remote Monitoring of Biomedical Signals -- Asynchronous EEG/ERP Acquisition for EEG Teleservices -- A Machine Learning Approach to Prediction of Exacerbations of Chronic Obstructive Pulmonary Disease -- Brain-Computer Interfacing to Heuristic Search: First Results -- English Phonetics: A Learning Approach Based on EEG Feedback Analysis -- Dynamic Modelling of the Whole Heart Based on a Frequency Formulation and Implementation of Parametric Deformable Models -- Multimodal 3D Registration of Anatomic (MRI) and Functional (fMRI and PET) Intra-patient Images of the Brain -- Localisation of Pollen Grains in Digitised Real Daily Airborne Samples -- Estimation of the Arterial Diameter in Ultrasound Images of the Common Carotid Artery -- Comparison of Free Distribution Software for EEG Focal Epileptic Source Localization -- Weighted Filtering for Neural Activity Reconstruction Under Time Varying Constraints -- Neural Activity Estimation from EEG Using an Iterative Dynamic Inverse Problem Solution -- Supervised Brain Tissue Segmentation Using a Spatially Enhanced Similarity Metric -- iLU Preconditioning of the Anisotropic-Finite-Difference Based Solution for the EEG Forward Problem -- EEG Rhythm Extraction Based on Relevance Analysis and Customized Wavelet Transform -- Estimation of M/EEG Non-stationary Brain Activity Using Spatio-temporal Sparse Constraints -- Connectivity Analysis of Motor Imagery Paradigm Using Short-Time Features and Kernel Similarities -- Robust Linear Longitudinal Feedback Control of a Flapping Wing Micro Air Vehicle -- Use and Adoption of a Touch-Based Occupational Therapy Tool for People Suffering from Dementia -- Multisensory Treatment of the Hemispatial Neglect by Means of Virtual Reality and Haptic Techniques -- Evaluation of Color Preference for Emotion Regulation -- Elicitation of Emotions through Music: The Influence of Note Value -- Towards Emotionally Sensitive Conversational Interfaces for E-therapy -- Automatic Drawing Analysis of Figures Included in Neuropsychological Tests for the Assessment and Diagnosis of Mild Cognitive Impairment -- Identification of Loitering Human Behaviour in Video Surveillance Environments -- Stress Detection Using Wearable Physiological Sensors -- An Embedded Ground Change Detector for a “Smart Walker”.
Record Nr. UNINA-9910483081103321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Artificial Intelligence for Neuroscience and Emotional Systems : 10th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2024, Olhâo, Portugal, June 4-7, 2024, Proceedings, Part I
Artificial Intelligence for Neuroscience and Emotional Systems : 10th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2024, Olhâo, Portugal, June 4-7, 2024, Proceedings, Part I
Autore Ferrández Vicente José Manuel
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer, , 2024
Descrizione fisica 1 online resource (560 pages)
Altri autori (Persone) Val CalvoMikel
AdeliHojjat
Collana Lecture Notes in Computer Science Series
ISBN 3-031-61140-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Machine Learning in Neuroscience -- Morning Anxiety Detection Through Smartphone-Based Photoplethysmography Signals Analysis Using Machine Learning Methods -- 1 Introduction -- 2 Methods -- 2.1 Data Collection -- 2.2 Pulse Wave Extraction -- 2.3 Feature Extraction -- 2.4 Stress Classification -- 2.5 Fisher's Discriminant Ratio -- 3 Results and Discussion -- 4 Conclusion -- References -- Visualizing Brain Synchronization: An Explainable Representation of Phase-Amplitude Coupling -- 1 Introduction -- 2 Materials and Methods -- 2.1 The LEEDUCA Dataset -- 2.2 Data Preprocessing -- 2.3 Phase-Amplitude Coupling -- 2.4 Visualization of Local PAC Patterns -- 3 Consistency of Temporal Patterns -- 4 Results and Discussion -- 5 Conclusions -- References -- Enhancing Neuronal Coupling Estimation by NIRS/EEG Integration -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset and Preprocessing -- 2.2 CFS Image Sequences -- 2.3 fNIRS Functional Activation -- 2.4 Classification -- 3 Results -- 4 Conclusions and Future Work -- References -- Causal Mechanisms of Dyslexia via Connectogram Modeling of Phase Synchrony -- 1 Introduction -- 2 Material and Methods -- 2.1 Data Acquisition -- 2.2 Preprocessing -- 2.3 Hilbert Transform -- 2.4 Granger Causality -- 2.5 Feature Selection -- 2.6 Connectograms -- 2.7 Machine Learning Classification -- 3 Results -- 4 Conclusions -- References -- Explainable Exploration of the Interplay Between HRV Features and EEG Local Connectivity Patterns in Dyslexia -- 1 Introduction -- 2 Materials and Methods -- 2.1 Database -- 2.2 Cross Frequency Coupling with ISPC -- 2.3 Heart Rate Variability Descriptors -- 2.4 Explainable Regression Experiments -- 3 Results -- 4 Discussion -- 5 Conclusion -- References.
Enhancing Intensity Differences in EEG Cross-Frequency Coupling Maps for Dyslexia Detection -- 1 Introduction -- 2 Materials and Methods -- 2.1 Database -- 2.2 Generation of CFC Maps from EEG Signals -- 2.3 Enhancing Differences in CFS Maps Through Histogram Transformation -- 2.4 Quantification of the Improvement -- 3 Results -- 4 Discussion and Conclusions -- References -- Improving Prediction of Mortality in ICU via Fusion of SelectKBest with SMOTE Method and Extra Tree Classifier -- 1 Introduction -- 2 Literature Review -- 3 Materials and Methods -- 3.1 Dataset Used -- 3.2 Preprocessing -- 3.3 AutoML -- 4 Result and Discussion -- 5 Conclusion -- References -- A Cross-Modality Latent Representation for the Prediction of Clinical Symptomatology in Parkinson's Disease -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset and Preprocessing -- 2.2 Multi-modal Joint Latent Variable Model -- 2.3 Evaluation -- 3 Results and Discussion -- 4 Conclusions -- References -- Zero-Shot Ensemble of Language Models for Fine-Grain Mental-Health Topic Classification -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 4 Experiments and Results -- 5 Conclusions -- References -- Enhancing Interpretability in Machine Learning: A Focus on Genetic Network Programming, Its Variants, and Applications -- 1 Introduction -- 2 The Most Important Versions of GNP -- 2.1 Some Specific Applications of GNP Algorithm -- 3 Conclusion and Future Works -- References -- Enhancing Coronary Artery Disease Classification Using Optimized MLP Based on Genetic Algorithm -- 1 Introduction -- 2 Related Works -- 3 Materials and Methods -- 3.1 Dataset -- 3.2 Data Preprocessing -- 3.3 The Important Process of This Study -- 4 Results and Discussion -- 5 Conclusion -- References -- Extracting Heart Rate Variability from NIRS Signals for an Explainable Detection of Learning Disorders.
1 Introduction -- 2 Material and Methods -- 2.1 Participants -- 2.2 NIRS Acquisition -- 2.3 Extraction of Heart Signal from NIRS -- 2.4 Preprocessing -- 2.5 Classification and Explainability -- 3 Results -- 4 Conclusions and Future Work -- References -- Diagnosis of Parkinson Disease from EEG Signals Using a CNN-LSTM Model and Explainable AI -- 1 Introduction -- 2 Proposed Method -- 2.1 Dataset -- 2.2 Preprocessing -- 2.3 Deep Learning Model -- 3 Statistical Metrics -- 4 Experiment Results -- 5 Discussion, Conclusion, and Future Works -- References -- Early Diagnosis of Schizophrenia in EEG Signals Using One Dimensional Transformer Model -- 1 Introduction -- 2 Proposed Method -- 2.1 Dataset -- 2.2 Preprocessing -- 2.3 Feature Extraction Based on Transformer -- 2.4 Classification -- 3 Statistical Metrics -- 4 Experiment Results -- 5 Discussion, Conclusion, and Future Works -- References -- Diagnosis of Schizophrenia in EEG Signals Using dDTF Effective Connectivity and New PreTrained CNN and Transformer Models -- 1 Introduction -- 2 Proposed Method -- 2.1 Dataset -- 2.2 Preprocessing -- 2.3 Feature Extraction and Classification -- 3 Experiment Results -- 4 Discussion, Conclusion, and Future Works -- References -- A Survey on EEG Phase Amplitude Coupling to Speech Rhythm for the Prediction of Dyslexia -- 1 Introduction -- 2 Methods -- 2.1 Data Acquisition and Preprocessing -- 2.2 Cross-Frequency Coupling -- 2.3 Feature Aggregation and Classification -- 2.4 Evaluation and Interpretability -- 3 Results and Discussion -- 3.1 Best Performing Stimuli and PAC Measures -- 3.2 Effect of Classification Hyperparameters -- 3.3 Assymetric Differences Between DLX and CTL -- 4 Conclusions -- References -- Comprehensive Evaluation of Stroke Rehabilitation Dynamics: Integrating Brain-Computer Interface with Robotized Orthesic Hand and Longitudinal EEG Changes.
1 Introduction -- 2 Material and Methods -- 2.1 Participants -- 2.2 Description of the Experimentation -- 2.3 EEG Data Analysis -- 3 Results -- 3.1 Time Frequency -- 3.2 Topographic Maps -- 3.3 Power Bands -- 4 Discussion, Study Limitations and Future Work -- 5 Conclusion -- References -- PDBIGDATA: A New Database for Parkinsonism Research Focused on Large Models -- 1 Introduction -- 2 Database Description -- 3 Experiments and Results -- 4 Conclusions -- References -- A Comparative Study of Deep Learning Approaches for Cognitive Impairment Diagnosis Based on the Clock-Drawing Test -- 1 Introduction -- 2 Materials and Methods -- 2.1 CDT Databases -- 2.2 Image Preprocessing -- 2.3 Convolutional Neural Network -- 2.4 Attentive Pairwise Interaction Network -- 3 Experiments and Results -- 4 Discussion -- 5 Conclusion -- References -- Artificial Intelligence in Neurophysiology -- Prediction of Burst Suppression Occurrence Under General Anaesthesia Using Pre-operative EEG Signals -- 1 Introduction -- 2 Methods -- 2.1 Data -- 2.2 Pre-processing -- 2.3 Training -- 2.4 Models Evaluation -- 2.5 Generating Explanations with SHAP -- 3 Experiments -- 4 Results and Discussion -- 4.1 Models Evaluation -- 4.2 Explainability Analysis -- 4.3 Limitations and Future Work -- 5 Conclusion -- References -- Advances in Denoising Spikes Waveforms for Electrophysiological Recordings -- 1 Introduction -- 2 Methods -- 2.1 Acquisition System and Dataset -- 2.2 Neural Signal Denoising -- 2.3 Spike Sorting -- 2.4 Implementation Details -- 2.5 Software Testing -- 3 Results -- 3.1 Denoising and Spike Extraction Quality Measurement -- 4 Discussion -- 5 Conclusions -- References -- Analysis of Anxiety Caused by Fasting in Obesity Patients Using EEG Signals -- 1 Introduction -- 2 Materials and Methods -- 2.1 Subjects -- 2.2 Procedure -- 2.3 Data Processing -- 3 Results and Discussion.
4 Conclusions -- References -- Evolution of EEG Fractal Dimension Along a Sequential Finger Movement Task -- 1 Introduction: Fractal Dimension and its Application on EEG Signals Analysis -- 2 Materials and Methods -- 2.1 Dataset and Motor Task -- 2.2 EEG Signals Preprocessing -- 2.3 EMG Signals Preprocessing -- 2.4 Katz Fractal Dimension -- 2.5 KFD Time Windows -- 3 Results -- 4 Conclusion -- References -- Neuromotor and Cognitive Disorders -- Stress Classification Model Using Speech: An Ambulatory Protocol-Based Database Study -- 1 Introduction -- 2 Methods -- 2.1 Database -- 2.2 Feature Extraction -- 2.3 Supervised Classification -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Exploring Spatial Cognition: Comparative Analysis of Agent-Based Models in Dynamic and Static Environments -- 1 Introduction -- 2 Methodology -- 2.1 EvoJAX -- 2.2 Materials and Method -- 2.3 Results -- 3 Conclusions and Future Directions -- References -- Machine Learning for Personality Type Classification on Textual Data -- 1 Introduction -- 2 Background -- 3 Materials and Methods -- 3.1 Data Collection: -- 3.2 Feature Extraction -- 3.3 Target Classes -- 3.4 Classification Models -- 3.5 Performance Evaluation Metrics -- 4 Results -- 5 Conclusions -- References -- Grad-CAM Applied to the Detection of Instruments Used in Facial Presentation Attacks -- 1 Introduction -- 2 Related Work and Background -- 2.1 PAD Techniques -- 2.2 XAI Techniques -- 3 Methods and Materials -- 3.1 Design and Implementation -- 3.2 eXpainable Artificial Intelligence Grad-CAM -- 3.3 Procediment -- 3.4 Statistical Analysis -- 3.5 Database -- 4 Results -- 5 Discussion -- 6 Conclusion -- References -- Comparison of an Accelerated Garble Embedding Methodology for Privacy Preserving in Biomedical Data Analytics -- 1 Introduction -- 1.1 State of the Art -- 2 Theoretical Framework.
2.1 Information Comparison.
Record Nr. UNISA-996601560703316
Ferrández Vicente José Manuel  
Cham : , : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Artificial Intelligence for Neuroscience and Emotional Systems : 10th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2024, Olhâo, Portugal, June 4-7, 2024, Proceedings, Part I
Artificial Intelligence for Neuroscience and Emotional Systems : 10th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2024, Olhâo, Portugal, June 4-7, 2024, Proceedings, Part I
Autore Ferrández Vicente José Manuel
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer, , 2024
Descrizione fisica 1 online resource (560 pages)
Altri autori (Persone) Val CalvoMikel
AdeliHojjat
Collana Lecture Notes in Computer Science Series
ISBN 3-031-61140-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Machine Learning in Neuroscience -- Morning Anxiety Detection Through Smartphone-Based Photoplethysmography Signals Analysis Using Machine Learning Methods -- 1 Introduction -- 2 Methods -- 2.1 Data Collection -- 2.2 Pulse Wave Extraction -- 2.3 Feature Extraction -- 2.4 Stress Classification -- 2.5 Fisher's Discriminant Ratio -- 3 Results and Discussion -- 4 Conclusion -- References -- Visualizing Brain Synchronization: An Explainable Representation of Phase-Amplitude Coupling -- 1 Introduction -- 2 Materials and Methods -- 2.1 The LEEDUCA Dataset -- 2.2 Data Preprocessing -- 2.3 Phase-Amplitude Coupling -- 2.4 Visualization of Local PAC Patterns -- 3 Consistency of Temporal Patterns -- 4 Results and Discussion -- 5 Conclusions -- References -- Enhancing Neuronal Coupling Estimation by NIRS/EEG Integration -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset and Preprocessing -- 2.2 CFS Image Sequences -- 2.3 fNIRS Functional Activation -- 2.4 Classification -- 3 Results -- 4 Conclusions and Future Work -- References -- Causal Mechanisms of Dyslexia via Connectogram Modeling of Phase Synchrony -- 1 Introduction -- 2 Material and Methods -- 2.1 Data Acquisition -- 2.2 Preprocessing -- 2.3 Hilbert Transform -- 2.4 Granger Causality -- 2.5 Feature Selection -- 2.6 Connectograms -- 2.7 Machine Learning Classification -- 3 Results -- 4 Conclusions -- References -- Explainable Exploration of the Interplay Between HRV Features and EEG Local Connectivity Patterns in Dyslexia -- 1 Introduction -- 2 Materials and Methods -- 2.1 Database -- 2.2 Cross Frequency Coupling with ISPC -- 2.3 Heart Rate Variability Descriptors -- 2.4 Explainable Regression Experiments -- 3 Results -- 4 Discussion -- 5 Conclusion -- References.
Enhancing Intensity Differences in EEG Cross-Frequency Coupling Maps for Dyslexia Detection -- 1 Introduction -- 2 Materials and Methods -- 2.1 Database -- 2.2 Generation of CFC Maps from EEG Signals -- 2.3 Enhancing Differences in CFS Maps Through Histogram Transformation -- 2.4 Quantification of the Improvement -- 3 Results -- 4 Discussion and Conclusions -- References -- Improving Prediction of Mortality in ICU via Fusion of SelectKBest with SMOTE Method and Extra Tree Classifier -- 1 Introduction -- 2 Literature Review -- 3 Materials and Methods -- 3.1 Dataset Used -- 3.2 Preprocessing -- 3.3 AutoML -- 4 Result and Discussion -- 5 Conclusion -- References -- A Cross-Modality Latent Representation for the Prediction of Clinical Symptomatology in Parkinson's Disease -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset and Preprocessing -- 2.2 Multi-modal Joint Latent Variable Model -- 2.3 Evaluation -- 3 Results and Discussion -- 4 Conclusions -- References -- Zero-Shot Ensemble of Language Models for Fine-Grain Mental-Health Topic Classification -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 4 Experiments and Results -- 5 Conclusions -- References -- Enhancing Interpretability in Machine Learning: A Focus on Genetic Network Programming, Its Variants, and Applications -- 1 Introduction -- 2 The Most Important Versions of GNP -- 2.1 Some Specific Applications of GNP Algorithm -- 3 Conclusion and Future Works -- References -- Enhancing Coronary Artery Disease Classification Using Optimized MLP Based on Genetic Algorithm -- 1 Introduction -- 2 Related Works -- 3 Materials and Methods -- 3.1 Dataset -- 3.2 Data Preprocessing -- 3.3 The Important Process of This Study -- 4 Results and Discussion -- 5 Conclusion -- References -- Extracting Heart Rate Variability from NIRS Signals for an Explainable Detection of Learning Disorders.
1 Introduction -- 2 Material and Methods -- 2.1 Participants -- 2.2 NIRS Acquisition -- 2.3 Extraction of Heart Signal from NIRS -- 2.4 Preprocessing -- 2.5 Classification and Explainability -- 3 Results -- 4 Conclusions and Future Work -- References -- Diagnosis of Parkinson Disease from EEG Signals Using a CNN-LSTM Model and Explainable AI -- 1 Introduction -- 2 Proposed Method -- 2.1 Dataset -- 2.2 Preprocessing -- 2.3 Deep Learning Model -- 3 Statistical Metrics -- 4 Experiment Results -- 5 Discussion, Conclusion, and Future Works -- References -- Early Diagnosis of Schizophrenia in EEG Signals Using One Dimensional Transformer Model -- 1 Introduction -- 2 Proposed Method -- 2.1 Dataset -- 2.2 Preprocessing -- 2.3 Feature Extraction Based on Transformer -- 2.4 Classification -- 3 Statistical Metrics -- 4 Experiment Results -- 5 Discussion, Conclusion, and Future Works -- References -- Diagnosis of Schizophrenia in EEG Signals Using dDTF Effective Connectivity and New PreTrained CNN and Transformer Models -- 1 Introduction -- 2 Proposed Method -- 2.1 Dataset -- 2.2 Preprocessing -- 2.3 Feature Extraction and Classification -- 3 Experiment Results -- 4 Discussion, Conclusion, and Future Works -- References -- A Survey on EEG Phase Amplitude Coupling to Speech Rhythm for the Prediction of Dyslexia -- 1 Introduction -- 2 Methods -- 2.1 Data Acquisition and Preprocessing -- 2.2 Cross-Frequency Coupling -- 2.3 Feature Aggregation and Classification -- 2.4 Evaluation and Interpretability -- 3 Results and Discussion -- 3.1 Best Performing Stimuli and PAC Measures -- 3.2 Effect of Classification Hyperparameters -- 3.3 Assymetric Differences Between DLX and CTL -- 4 Conclusions -- References -- Comprehensive Evaluation of Stroke Rehabilitation Dynamics: Integrating Brain-Computer Interface with Robotized Orthesic Hand and Longitudinal EEG Changes.
1 Introduction -- 2 Material and Methods -- 2.1 Participants -- 2.2 Description of the Experimentation -- 2.3 EEG Data Analysis -- 3 Results -- 3.1 Time Frequency -- 3.2 Topographic Maps -- 3.3 Power Bands -- 4 Discussion, Study Limitations and Future Work -- 5 Conclusion -- References -- PDBIGDATA: A New Database for Parkinsonism Research Focused on Large Models -- 1 Introduction -- 2 Database Description -- 3 Experiments and Results -- 4 Conclusions -- References -- A Comparative Study of Deep Learning Approaches for Cognitive Impairment Diagnosis Based on the Clock-Drawing Test -- 1 Introduction -- 2 Materials and Methods -- 2.1 CDT Databases -- 2.2 Image Preprocessing -- 2.3 Convolutional Neural Network -- 2.4 Attentive Pairwise Interaction Network -- 3 Experiments and Results -- 4 Discussion -- 5 Conclusion -- References -- Artificial Intelligence in Neurophysiology -- Prediction of Burst Suppression Occurrence Under General Anaesthesia Using Pre-operative EEG Signals -- 1 Introduction -- 2 Methods -- 2.1 Data -- 2.2 Pre-processing -- 2.3 Training -- 2.4 Models Evaluation -- 2.5 Generating Explanations with SHAP -- 3 Experiments -- 4 Results and Discussion -- 4.1 Models Evaluation -- 4.2 Explainability Analysis -- 4.3 Limitations and Future Work -- 5 Conclusion -- References -- Advances in Denoising Spikes Waveforms for Electrophysiological Recordings -- 1 Introduction -- 2 Methods -- 2.1 Acquisition System and Dataset -- 2.2 Neural Signal Denoising -- 2.3 Spike Sorting -- 2.4 Implementation Details -- 2.5 Software Testing -- 3 Results -- 3.1 Denoising and Spike Extraction Quality Measurement -- 4 Discussion -- 5 Conclusions -- References -- Analysis of Anxiety Caused by Fasting in Obesity Patients Using EEG Signals -- 1 Introduction -- 2 Materials and Methods -- 2.1 Subjects -- 2.2 Procedure -- 2.3 Data Processing -- 3 Results and Discussion.
4 Conclusions -- References -- Evolution of EEG Fractal Dimension Along a Sequential Finger Movement Task -- 1 Introduction: Fractal Dimension and its Application on EEG Signals Analysis -- 2 Materials and Methods -- 2.1 Dataset and Motor Task -- 2.2 EEG Signals Preprocessing -- 2.3 EMG Signals Preprocessing -- 2.4 Katz Fractal Dimension -- 2.5 KFD Time Windows -- 3 Results -- 4 Conclusion -- References -- Neuromotor and Cognitive Disorders -- Stress Classification Model Using Speech: An Ambulatory Protocol-Based Database Study -- 1 Introduction -- 2 Methods -- 2.1 Database -- 2.2 Feature Extraction -- 2.3 Supervised Classification -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Exploring Spatial Cognition: Comparative Analysis of Agent-Based Models in Dynamic and Static Environments -- 1 Introduction -- 2 Methodology -- 2.1 EvoJAX -- 2.2 Materials and Method -- 2.3 Results -- 3 Conclusions and Future Directions -- References -- Machine Learning for Personality Type Classification on Textual Data -- 1 Introduction -- 2 Background -- 3 Materials and Methods -- 3.1 Data Collection: -- 3.2 Feature Extraction -- 3.3 Target Classes -- 3.4 Classification Models -- 3.5 Performance Evaluation Metrics -- 4 Results -- 5 Conclusions -- References -- Grad-CAM Applied to the Detection of Instruments Used in Facial Presentation Attacks -- 1 Introduction -- 2 Related Work and Background -- 2.1 PAD Techniques -- 2.2 XAI Techniques -- 3 Methods and Materials -- 3.1 Design and Implementation -- 3.2 eXpainable Artificial Intelligence Grad-CAM -- 3.3 Procediment -- 3.4 Statistical Analysis -- 3.5 Database -- 4 Results -- 5 Discussion -- 6 Conclusion -- References -- Comparison of an Accelerated Garble Embedding Methodology for Privacy Preserving in Biomedical Data Analytics -- 1 Introduction -- 1.1 State of the Art -- 2 Theoretical Framework.
2.1 Information Comparison.
Record Nr. UNINA-9910865264203321
Ferrández Vicente José Manuel  
Cham : , : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Bioinspired Computation in Artificial Systems [[electronic resource] ] : International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2015, Elche, Spain, June 1-5, 2015, Proceedings, Part II / / edited by José Manuel Ferrández Vicente, José Ramón Álvarez-Sánchez, Félix de la Paz López, Fco. Javier Toledo-Moreo, Hojjat Adeli
Bioinspired Computation in Artificial Systems [[electronic resource] ] : International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2015, Elche, Spain, June 1-5, 2015, Proceedings, Part II / / edited by José Manuel Ferrández Vicente, José Ramón Álvarez-Sánchez, Félix de la Paz López, Fco. Javier Toledo-Moreo, Hojjat Adeli
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (XXIV, 462 p. 177 illus.)
Disciplina 006
Collana Theoretical Computer Science and General Issues
Soggetto topico Computer science
Algorithms
Artificial intelligence
Bioinformatics
Pattern recognition systems
Application software
Theory of Computation
Artificial Intelligence
Computational and Systems Biology
Automated Pattern Recognition
Computer and Information Systems Applications
ISBN 3-319-18833-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Online Control of Enumeration Strategies via Bat-Inspired Optimization -- LEXMATH - A Tool for the Study of Available Lexicon in Mathematics -- Low-Power Occupancy Sensor for an Ambient Assisted Living System -- Evolution of Synaptic Delay Based Neural Controllers for Implementing Central Pattern Generators in Hexapod Robotic Structures -- Genetic Algorithm for the Job-Shop Scheduling with Skilled Operators -- Preliminary Design of the Real-Time Control Software for the Adaptive Optics of AOLI -- Graph-Based Learning on Sparse Data for Recommendation Systems in Social Networks -- Self-sampling Strategies for Multimemetic Algorithms in Unstable Computational Environments -- On the Influence of Illumination Quality in 2D Facial Recognition -- A Binary Cuckoo Search Algorithm for Solving the Set Covering Problem -- State Machine Based Architecture to Increase Flexibility of Dual-Arm Robot Programming -- A Cellular Automata Model for Mobile Worm Propagation -- Evolving Cellular Automata to Segment Hyperspectral Images Using Low Dimensional Images for Training.-. Multicriteria Inventory Routing by Cooperative Swarms and Evolutionary Algorithms -- Embodied Evolution for Collective Indoor Surveillance and Location -- On the Spectral Clustering for Dynamic Data -- A Multiple-Model Particle Filter Based Method for Slide Detection and Compensation in Road Vehicles -- Pedestrian Tracking-by-Detection Using Image Density Projections and Particle Filters -- Comparative Study of the Features Used by Algorithms Based on Viola and Jones Face Detection Algorithm -- Experiments of Skin Detection in Hyperspectral Images -- Scene Recognition for Robot Localization in Difficult Environments -- Pyramid Representations of the Set of Actions in Reinforcement Learning -- Related Tasks Selection to Multitask Learning Schemes -- Towards Robot Localization Using Bluetooth Low Energy Beacons RSSI Measures -- Development of a Web Platform for On-line Robotics Learning Workshops Using Real Robots -- A Growing Functional Modules Learning Based Controller Designed to Balance of a Humanoid Robot on One Foot -- Optimized Representation of 3D Sequences Using Neural Networks -- Object Recognition in Noisy RGB-D Data -- Topology Preserving Self-Organizing Map of Features in Image Space for Trajectory Classification -- A Comparative Study of Downsampling Techniques for Non-rigid Point Set Registration Using Color -- Robust Control Tuning by PSO of Aerial Robots Hose Transportation -- Visual Bug Algorithm for Simultaneous Robot Homing and Obstacle Avoidance Using Visual Topological Maps in an Unmanned Ground Vehicle -- Neural Modeling of Hose Dynamics to Speedup Reinforcement Learning Experiments -- Autonomous Robot Navigation Based on Pattern Recognition Techniques and Artificial Neural Networks -- Collaborative Group Formation Using Genetic Algorithms -- The CALIMACO Multimodal System: Providing Enhanced Library Services Using Mobile Devices.-Agent Based Modelling to Build Serious Games: The Learn to Lead Game -- An Augmented Reality Application for Learning Anatomy -- Data Cleansing Meets Feature Selection: A Supervised Machine Learning Approach -- Multicriterion Segmentation of Demand Markets to Increase Forecasting Accuracy of Analogous Time Series: A First Investigation -- A Self-Organising Multi-Manifold Learning Algorithm -- Artificial Metaplasticity for Deep Learning: Application to WBCD Breast Cancer Database Classification -- Comparing ELM Against MLP for Electrical Power Prediction in Buildings.-.Fish Monitoring and Sizing Using Computer Vision -- Computer-Aided Development of Thermo-Mechanical Laser Surface Treatments for the Fatigue Life Extension of Bio-Mechanical Components -- From Smart Grids to Business Intelligence, a Challenge for Bioinspired Systems -- Neural Recognition of Real and Computer-Designed Architectural Images.
Record Nr. UNISA-996200024703316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Bioinspired Computation in Artificial Systems : International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2015, Elche, Spain, June 1-5, 2015, Proceedings, Part II / / edited by José Manuel Ferrández Vicente, José Ramón Álvarez-Sánchez, Félix de la Paz López, Fco. Javier Toledo-Moreo, Hojjat Adeli
Bioinspired Computation in Artificial Systems : International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2015, Elche, Spain, June 1-5, 2015, Proceedings, Part II / / edited by José Manuel Ferrández Vicente, José Ramón Álvarez-Sánchez, Félix de la Paz López, Fco. Javier Toledo-Moreo, Hojjat Adeli
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (XXIV, 462 p. 177 illus.)
Disciplina 006
Collana Theoretical Computer Science and General Issues
Soggetto topico Computer science
Algorithms
Artificial intelligence
Bioinformatics
Pattern recognition systems
Application software
Theory of Computation
Artificial Intelligence
Computational and Systems Biology
Automated Pattern Recognition
Computer and Information Systems Applications
ISBN 3-319-18833-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Online Control of Enumeration Strategies via Bat-Inspired Optimization -- LEXMATH - A Tool for the Study of Available Lexicon in Mathematics -- Low-Power Occupancy Sensor for an Ambient Assisted Living System -- Evolution of Synaptic Delay Based Neural Controllers for Implementing Central Pattern Generators in Hexapod Robotic Structures -- Genetic Algorithm for the Job-Shop Scheduling with Skilled Operators -- Preliminary Design of the Real-Time Control Software for the Adaptive Optics of AOLI -- Graph-Based Learning on Sparse Data for Recommendation Systems in Social Networks -- Self-sampling Strategies for Multimemetic Algorithms in Unstable Computational Environments -- On the Influence of Illumination Quality in 2D Facial Recognition -- A Binary Cuckoo Search Algorithm for Solving the Set Covering Problem -- State Machine Based Architecture to Increase Flexibility of Dual-Arm Robot Programming -- A Cellular Automata Model for Mobile Worm Propagation -- Evolving Cellular Automata to Segment Hyperspectral Images Using Low Dimensional Images for Training.-. Multicriteria Inventory Routing by Cooperative Swarms and Evolutionary Algorithms -- Embodied Evolution for Collective Indoor Surveillance and Location -- On the Spectral Clustering for Dynamic Data -- A Multiple-Model Particle Filter Based Method for Slide Detection and Compensation in Road Vehicles -- Pedestrian Tracking-by-Detection Using Image Density Projections and Particle Filters -- Comparative Study of the Features Used by Algorithms Based on Viola and Jones Face Detection Algorithm -- Experiments of Skin Detection in Hyperspectral Images -- Scene Recognition for Robot Localization in Difficult Environments -- Pyramid Representations of the Set of Actions in Reinforcement Learning -- Related Tasks Selection to Multitask Learning Schemes -- Towards Robot Localization Using Bluetooth Low Energy Beacons RSSI Measures -- Development of a Web Platform for On-line Robotics Learning Workshops Using Real Robots -- A Growing Functional Modules Learning Based Controller Designed to Balance of a Humanoid Robot on One Foot -- Optimized Representation of 3D Sequences Using Neural Networks -- Object Recognition in Noisy RGB-D Data -- Topology Preserving Self-Organizing Map of Features in Image Space for Trajectory Classification -- A Comparative Study of Downsampling Techniques for Non-rigid Point Set Registration Using Color -- Robust Control Tuning by PSO of Aerial Robots Hose Transportation -- Visual Bug Algorithm for Simultaneous Robot Homing and Obstacle Avoidance Using Visual Topological Maps in an Unmanned Ground Vehicle -- Neural Modeling of Hose Dynamics to Speedup Reinforcement Learning Experiments -- Autonomous Robot Navigation Based on Pattern Recognition Techniques and Artificial Neural Networks -- Collaborative Group Formation Using Genetic Algorithms -- The CALIMACO Multimodal System: Providing Enhanced Library Services Using Mobile Devices.-Agent Based Modelling to Build Serious Games: The Learn to Lead Game -- An Augmented Reality Application for Learning Anatomy -- Data Cleansing Meets Feature Selection: A Supervised Machine Learning Approach -- Multicriterion Segmentation of Demand Markets to Increase Forecasting Accuracy of Analogous Time Series: A First Investigation -- A Self-Organising Multi-Manifold Learning Algorithm -- Artificial Metaplasticity for Deep Learning: Application to WBCD Breast Cancer Database Classification -- Comparing ELM Against MLP for Electrical Power Prediction in Buildings.-.Fish Monitoring and Sizing Using Computer Vision -- Computer-Aided Development of Thermo-Mechanical Laser Surface Treatments for the Fatigue Life Extension of Bio-Mechanical Components -- From Smart Grids to Business Intelligence, a Challenge for Bioinspired Systems -- Neural Recognition of Real and Computer-Designed Architectural Images.
Record Nr. UNINA-9910485045203321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Bioinspired Systems for Translational Applications : 10th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2024, Olhâo, Portugal, June 4-7, 2024, Proceedings, Part II
Bioinspired Systems for Translational Applications : 10th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2024, Olhâo, Portugal, June 4-7, 2024, Proceedings, Part II
Autore Ferrández Vicente José Manuel
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer, , 2024
Descrizione fisica 1 online resource (553 pages)
Altri autori (Persone) Val CalvoMikel
AdeliHojjat
Collana Lecture Notes in Computer Science Series
ISBN 3-031-61137-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Machine Learning in Computer Vision and Robotics -- Unsupervised Detection of Incoming and Outgoing Traffic Flows in Video Sequences -- 1 Introduction -- 2 Methodology -- 3 Experimental Results -- 3.1 Methods -- 3.2 Datasets -- 3.3 Results -- 4 Conclusions -- References -- A Decentralized Collision Avoidance Algorithm for Individual and Collaborative UAVs -- 1 Introduction -- 2 State of Art -- 3 Methodology -- 3.1 Collision Avoidance -- 3.2 System Formation -- 4 Experiments and Results -- 5 Conclusions -- References -- Improved Surface Defect Classification from a Simple Convolutional Neural Network by Image Preprocessing and Data Augmentation -- 1 Introduction -- 2 Materials -- 2.1 The NEU Dataset -- 2.2 Image Preprocessing -- 2.3 Data Augmentation -- 3 Methodology -- 3.1 Simple Convolutional Neural Network -- 3.2 Training Strategy -- 4 Results and Discussion -- 5 Conclusions -- References -- Prediction of Optimal Locations for 5G Base Stations in Urban Environments Using Neural Networks and Satellite Image Analysis -- 1 Introduction -- 2 Methodology -- 2.1 Segmentation of Satellite Images -- 2.2 Base Station Deployment -- 3 Experiments -- 3.1 Convolutional Neural Networks -- 3.2 Dataset -- 3.3 Evaluation -- 3.4 Results -- 4 Conclusions -- References -- Enhanced Cellular Detection Using Convolutional Neural Networks and Sliding Window Super-Resolution Inference*-6pt -- 1 Introduction -- 2 Methodology -- 3 Experiments -- 3.1 Dataset -- 3.2 Super-Resolution Model -- 3.3 Object Detection Models -- 3.4 Results -- 4 Conclusions and Future Lines -- References -- Exploring Text-Driven Approaches for Online Action Detection -- 1 Introduction -- 2 Related Works -- 2.1 Online Action Detection -- 2.2 Vision-Language Models -- 3 Methodology -- 4 Experiments.
4.1 Experimental Setup -- 4.2 Zero-Shot/Few-Shot Action Detection -- 4.3 Comparison with State-of-the-Art Methods -- 5 Conclusion -- References -- Deep Learning for Assistive Decision-Making in Robot-Aided Rehabilitation Therapy -- 1 Introduction -- 2 Materials and Methods -- 2.1 Subjects -- 2.2 Experimental Setup and Data Collection -- 2.3 Data Processing -- 2.4 Model Architecture -- 3 Results and Discussion -- 4 Conclusion -- References -- Text-Driven Data Augmentation Tool for Synthetic Bird Behavioural Generation -- 1 Introduction -- 2 Related Works -- 2.1 Birds Datasets -- 2.2 Generative Models -- 3 Synthetic Video Generation -- 3.1 Enhancing Captions -- 3.2 Generative Video Models -- 4 Results -- 5 Conclusions -- References -- Deep Learning for Enhanced Risk Assessment in Home Environments -- 1 Introduction -- 2 Related Work -- 2.1 Risks Assessment -- 2.2 Object Detection -- 2.3 Video Captioning -- 3 Methodology -- 3.1 Objects Extraction -- 3.2 Risks Identification -- 4 Experiments -- 4.1 Setup and Data -- 4.2 Results -- 5 Conclusion -- References -- Lightweight CNNs for Advanced Bird Species Recognition on the Edge -- 1 Introduction -- 2 Related Works -- 2.1 Bird Species Recognition -- 2.2 Edge Computing -- 3 Methodology -- 3.1 Datasets -- 3.2 Training -- 4 Experiments -- 4.1 Setup -- 4.2 Results -- 5 Conclusion -- References -- Learning Adaptable Utility Models for Morphological Diversity -- 1 Introduction -- 2 Motivational System for Open-Ended Learning -- 2.1 Novelty-Based Intrinsic Motivation. Enhancing Exploration -- 2.2 Frustration-Based Intrinsic Motivation. Preventing Learning Stagnation -- 3 Deliberative Decision-Making with World and Utility Models -- 3.1 World Model Learning -- 3.2 Utility Model Learning -- 4 Experimental Setup: EMERGE Robot -- 5 Experimental Results -- 6 Conclusion -- References.
Deep Learning-Based Classification of Invasive Coronary Angiographies with Different Patch-Generation Techniques -- 1 Introduction -- 2 Methodology -- 2.1 Dataset -- 2.2 Data Preprocessing -- 3 Experimental Results -- 3.1 Training and Experiments Description -- 3.2 Results -- 4 Conclusions -- References -- Bio-inspired Computing Approaches -- Refinement of Protein Structures with a Memetic Algorithm. Examples with SARS-CoV-2 Proteins -- 1 Introduction -- 2 Methods -- 2.1 Rosetta Relax Process -- 2.2 Relax-DE -- 3 Results -- 3.1 Setup of the Refinement Approaches -- 3.2 Refinement of Predicted Structures -- 4 Conclusions -- References -- Evolutionary Algorithms for Bin Packing Problem with Maximum Lateness and Waste Minimization -- 1 Introduction -- 2 Problem Definition -- 3 The Solution Method -- 4 Evolutionary Algorithms -- 4.1 Genetic Programming -- 4.2 Genetic Algorithm -- 5 Experimental Analysis -- 5.1 Set up -- 5.2 Results -- 6 Conclusions and Future Work -- References -- Stationary Wavelet Entropy and Cat Swarm Optimization to Detect COVID-19 -- 1 Introduction -- 2 Background -- 3 Dataset -- 4 Methodology -- 4.1 Feed-Forward Neural Network -- 4.2 Stationary Wavelet Entropy -- 4.3 Cat Swarm Optimization -- 4.4 K-Fold Cross-Validation -- 4.5 Evaluation -- 5 Experiment and Discussion -- 5.1 Statistical Evaluation -- 5.2 Comparison to State-of-the-Art Methods -- 5.3 ROC Curve -- 6 Conclusion and Future Research -- References -- Private Inference on Layered Spiking Neural P Systems -- 1 Introduction -- 2 Related Work -- 3 Layered Spiking Neural P Systems -- 4 Private Inference -- 4.1 The Protocol -- 4.2 Security Discussion -- 5 Conclusions and Further Directions of Research -- References -- Cooperative Multi-fitness Evolutionary Algorithm for Scientific Workflows Scheduling -- 1 Introduction -- 2 The Scientific Workflow Scheduling Model.
2.1 Workflow Scheduling Problem Overview -- 3 Overview of the Genetic Algorithm Approach -- 4 Cooperative Multi-fitness Functions Evaluation -- 5 Experimental Study -- 5.1 Benchmark Instances -- 5.2 Benchmark Platform -- 5.3 Efficiency of the Cooperative Multi-fitness Approach -- 6 Conclusion -- References -- A Genetic Approach to Green Flexible Job Shop Problem Under Uncertainty -- 1 Introduction -- 2 Problem Definition -- 3 Solving Methodology -- 4 Experimental Results -- 5 Conclusion -- References -- Social and Civil Engineering Through Human AI Translations -- AI Emmbedded in Drone Control -- 1 Introduction -- 2 Drone Operations Supported by AI Algorithms -- 2.1 Delivery Systems -- 2.2 Optimization and Complexity Associated with Cargo and Resources -- 2.3 Emergency Situations -- 2.4 Drone Identification and Detection -- 2.5 Flight Control and Safety -- 2.6 Agricultural Operations -- 3 Conclusions and Future Work -- References -- Dual-System Recommendation Architecture for Adaptive Reading Intervention Platform for Dyslexic Learners -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data and Exploratory Analysis -- 2.2 Description of the Intervention Trial -- 2.3 Word Generator -- 2.4 Embedded Intra/Inter-user Recommender Engines -- 2.5 Surmounting Cold Start and Limited Data Hurdles -- 3 Results -- 4 Conclusions -- References -- Accurate LiDAR-Based Semantic Classification for Powerline Inspection -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Online Segmentation -- 3.2 Full Map Refinement -- 4 Validation -- 5 Conclusions -- References -- RESISTO Project: Automatic Detection of Operation Temperature Anomalies for Power Electric Transformers Using Thermal Imaging -- 1 Introduction -- 1.1 Introduction to the RESISTO Project -- 1.2 Mitigating Transformer Risks in Electricity Networks -- 2 Materials and Methods.
2.1 Thermographic Data Acquisition -- 2.2 Thermal Anomalies Detection System -- 2.3 Synthetic Data Generation -- 3 Results and Discussion -- 3.1 Simulation Results -- 3.2 Registered Temperature Time Series -- 4 Conclusions -- References -- RESISTO Project: Safeguarding the Power Grid from Meteorological Phenomena -- 1 Introduction -- 1.1 Objectives -- 1.2 Project Innovations -- 2 Proposed Solution -- 2.1 Electrical Resilience Platform: GridWatch -- 2.2 Automatic Detection of Operation Temperature Anomalies Using Thermal Imaging -- 2.3 Fleet of Drones -- 3 Discussion -- 4 Conclusions -- References -- Multi-UAV System for Power-Line Failure Detection Within the RESISTO Project -- 1 Introduction -- 2 System Description -- 2.1 Planner Description -- 2.2 Software Implementation -- 2.3 Hardware Implementation -- 3 Validation -- 3.1 Planning Approach Simulation -- 3.2 Test Flights -- 4 Conclusions and Future Works -- References -- Smart Renewable Energies: Advancing AI Algorithms in the Renewable Energy Industry -- Machine Learning Health Estimation for Lithium-Ion Batteries Under Varied Conditions -- 1 Introduction -- 2 Methods -- 2.1 Experimental Design and Data Processing -- 3 Results and Discussion -- 4 Conclusions -- References -- Energy Flux Prediction Using an Ordinal Soft Labelling Strategy -- 1 Introduction -- 2 Data Description and Processing -- 2.1 Buoys Measurements and Reanalysis Data -- 2.2 Obtaining Ordinal Labels -- 3 Experimental Settings -- 3.1 Compared Methodologies -- 3.2 Model Training -- 4 Results and Discussion -- 5 Conclusions -- References -- Medium- and Long-Term Wind Speed Prediction Using the Multi-task Learning Paradigm -- 1 Introduction -- 2 Data Description -- 2.1 Wind Speed Data -- 2.2 Predictive Variables -- 3 Multi-task Artificial Neural Networks -- 4 Experimental Settings -- 5 Results and Discussion -- 6 Conclusions.
References.
Record Nr. UNISA-996601560803316
Ferrández Vicente José Manuel  
Cham : , : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Bioinspired Systems for Translational Applications : 10th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2024, Olhâo, Portugal, June 4-7, 2024, Proceedings, Part II
Bioinspired Systems for Translational Applications : 10th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2024, Olhâo, Portugal, June 4-7, 2024, Proceedings, Part II
Autore Ferrández Vicente José Manuel
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer, , 2024
Descrizione fisica 1 online resource (553 pages)
Altri autori (Persone) Val CalvoMikel
AdeliHojjat
Collana Lecture Notes in Computer Science Series
ISBN 3-031-61137-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Machine Learning in Computer Vision and Robotics -- Unsupervised Detection of Incoming and Outgoing Traffic Flows in Video Sequences -- 1 Introduction -- 2 Methodology -- 3 Experimental Results -- 3.1 Methods -- 3.2 Datasets -- 3.3 Results -- 4 Conclusions -- References -- A Decentralized Collision Avoidance Algorithm for Individual and Collaborative UAVs -- 1 Introduction -- 2 State of Art -- 3 Methodology -- 3.1 Collision Avoidance -- 3.2 System Formation -- 4 Experiments and Results -- 5 Conclusions -- References -- Improved Surface Defect Classification from a Simple Convolutional Neural Network by Image Preprocessing and Data Augmentation -- 1 Introduction -- 2 Materials -- 2.1 The NEU Dataset -- 2.2 Image Preprocessing -- 2.3 Data Augmentation -- 3 Methodology -- 3.1 Simple Convolutional Neural Network -- 3.2 Training Strategy -- 4 Results and Discussion -- 5 Conclusions -- References -- Prediction of Optimal Locations for 5G Base Stations in Urban Environments Using Neural Networks and Satellite Image Analysis -- 1 Introduction -- 2 Methodology -- 2.1 Segmentation of Satellite Images -- 2.2 Base Station Deployment -- 3 Experiments -- 3.1 Convolutional Neural Networks -- 3.2 Dataset -- 3.3 Evaluation -- 3.4 Results -- 4 Conclusions -- References -- Enhanced Cellular Detection Using Convolutional Neural Networks and Sliding Window Super-Resolution Inference*-6pt -- 1 Introduction -- 2 Methodology -- 3 Experiments -- 3.1 Dataset -- 3.2 Super-Resolution Model -- 3.3 Object Detection Models -- 3.4 Results -- 4 Conclusions and Future Lines -- References -- Exploring Text-Driven Approaches for Online Action Detection -- 1 Introduction -- 2 Related Works -- 2.1 Online Action Detection -- 2.2 Vision-Language Models -- 3 Methodology -- 4 Experiments.
4.1 Experimental Setup -- 4.2 Zero-Shot/Few-Shot Action Detection -- 4.3 Comparison with State-of-the-Art Methods -- 5 Conclusion -- References -- Deep Learning for Assistive Decision-Making in Robot-Aided Rehabilitation Therapy -- 1 Introduction -- 2 Materials and Methods -- 2.1 Subjects -- 2.2 Experimental Setup and Data Collection -- 2.3 Data Processing -- 2.4 Model Architecture -- 3 Results and Discussion -- 4 Conclusion -- References -- Text-Driven Data Augmentation Tool for Synthetic Bird Behavioural Generation -- 1 Introduction -- 2 Related Works -- 2.1 Birds Datasets -- 2.2 Generative Models -- 3 Synthetic Video Generation -- 3.1 Enhancing Captions -- 3.2 Generative Video Models -- 4 Results -- 5 Conclusions -- References -- Deep Learning for Enhanced Risk Assessment in Home Environments -- 1 Introduction -- 2 Related Work -- 2.1 Risks Assessment -- 2.2 Object Detection -- 2.3 Video Captioning -- 3 Methodology -- 3.1 Objects Extraction -- 3.2 Risks Identification -- 4 Experiments -- 4.1 Setup and Data -- 4.2 Results -- 5 Conclusion -- References -- Lightweight CNNs for Advanced Bird Species Recognition on the Edge -- 1 Introduction -- 2 Related Works -- 2.1 Bird Species Recognition -- 2.2 Edge Computing -- 3 Methodology -- 3.1 Datasets -- 3.2 Training -- 4 Experiments -- 4.1 Setup -- 4.2 Results -- 5 Conclusion -- References -- Learning Adaptable Utility Models for Morphological Diversity -- 1 Introduction -- 2 Motivational System for Open-Ended Learning -- 2.1 Novelty-Based Intrinsic Motivation. Enhancing Exploration -- 2.2 Frustration-Based Intrinsic Motivation. Preventing Learning Stagnation -- 3 Deliberative Decision-Making with World and Utility Models -- 3.1 World Model Learning -- 3.2 Utility Model Learning -- 4 Experimental Setup: EMERGE Robot -- 5 Experimental Results -- 6 Conclusion -- References.
Deep Learning-Based Classification of Invasive Coronary Angiographies with Different Patch-Generation Techniques -- 1 Introduction -- 2 Methodology -- 2.1 Dataset -- 2.2 Data Preprocessing -- 3 Experimental Results -- 3.1 Training and Experiments Description -- 3.2 Results -- 4 Conclusions -- References -- Bio-inspired Computing Approaches -- Refinement of Protein Structures with a Memetic Algorithm. Examples with SARS-CoV-2 Proteins -- 1 Introduction -- 2 Methods -- 2.1 Rosetta Relax Process -- 2.2 Relax-DE -- 3 Results -- 3.1 Setup of the Refinement Approaches -- 3.2 Refinement of Predicted Structures -- 4 Conclusions -- References -- Evolutionary Algorithms for Bin Packing Problem with Maximum Lateness and Waste Minimization -- 1 Introduction -- 2 Problem Definition -- 3 The Solution Method -- 4 Evolutionary Algorithms -- 4.1 Genetic Programming -- 4.2 Genetic Algorithm -- 5 Experimental Analysis -- 5.1 Set up -- 5.2 Results -- 6 Conclusions and Future Work -- References -- Stationary Wavelet Entropy and Cat Swarm Optimization to Detect COVID-19 -- 1 Introduction -- 2 Background -- 3 Dataset -- 4 Methodology -- 4.1 Feed-Forward Neural Network -- 4.2 Stationary Wavelet Entropy -- 4.3 Cat Swarm Optimization -- 4.4 K-Fold Cross-Validation -- 4.5 Evaluation -- 5 Experiment and Discussion -- 5.1 Statistical Evaluation -- 5.2 Comparison to State-of-the-Art Methods -- 5.3 ROC Curve -- 6 Conclusion and Future Research -- References -- Private Inference on Layered Spiking Neural P Systems -- 1 Introduction -- 2 Related Work -- 3 Layered Spiking Neural P Systems -- 4 Private Inference -- 4.1 The Protocol -- 4.2 Security Discussion -- 5 Conclusions and Further Directions of Research -- References -- Cooperative Multi-fitness Evolutionary Algorithm for Scientific Workflows Scheduling -- 1 Introduction -- 2 The Scientific Workflow Scheduling Model.
2.1 Workflow Scheduling Problem Overview -- 3 Overview of the Genetic Algorithm Approach -- 4 Cooperative Multi-fitness Functions Evaluation -- 5 Experimental Study -- 5.1 Benchmark Instances -- 5.2 Benchmark Platform -- 5.3 Efficiency of the Cooperative Multi-fitness Approach -- 6 Conclusion -- References -- A Genetic Approach to Green Flexible Job Shop Problem Under Uncertainty -- 1 Introduction -- 2 Problem Definition -- 3 Solving Methodology -- 4 Experimental Results -- 5 Conclusion -- References -- Social and Civil Engineering Through Human AI Translations -- AI Emmbedded in Drone Control -- 1 Introduction -- 2 Drone Operations Supported by AI Algorithms -- 2.1 Delivery Systems -- 2.2 Optimization and Complexity Associated with Cargo and Resources -- 2.3 Emergency Situations -- 2.4 Drone Identification and Detection -- 2.5 Flight Control and Safety -- 2.6 Agricultural Operations -- 3 Conclusions and Future Work -- References -- Dual-System Recommendation Architecture for Adaptive Reading Intervention Platform for Dyslexic Learners -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data and Exploratory Analysis -- 2.2 Description of the Intervention Trial -- 2.3 Word Generator -- 2.4 Embedded Intra/Inter-user Recommender Engines -- 2.5 Surmounting Cold Start and Limited Data Hurdles -- 3 Results -- 4 Conclusions -- References -- Accurate LiDAR-Based Semantic Classification for Powerline Inspection -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Online Segmentation -- 3.2 Full Map Refinement -- 4 Validation -- 5 Conclusions -- References -- RESISTO Project: Automatic Detection of Operation Temperature Anomalies for Power Electric Transformers Using Thermal Imaging -- 1 Introduction -- 1.1 Introduction to the RESISTO Project -- 1.2 Mitigating Transformer Risks in Electricity Networks -- 2 Materials and Methods.
2.1 Thermographic Data Acquisition -- 2.2 Thermal Anomalies Detection System -- 2.3 Synthetic Data Generation -- 3 Results and Discussion -- 3.1 Simulation Results -- 3.2 Registered Temperature Time Series -- 4 Conclusions -- References -- RESISTO Project: Safeguarding the Power Grid from Meteorological Phenomena -- 1 Introduction -- 1.1 Objectives -- 1.2 Project Innovations -- 2 Proposed Solution -- 2.1 Electrical Resilience Platform: GridWatch -- 2.2 Automatic Detection of Operation Temperature Anomalies Using Thermal Imaging -- 2.3 Fleet of Drones -- 3 Discussion -- 4 Conclusions -- References -- Multi-UAV System for Power-Line Failure Detection Within the RESISTO Project -- 1 Introduction -- 2 System Description -- 2.1 Planner Description -- 2.2 Software Implementation -- 2.3 Hardware Implementation -- 3 Validation -- 3.1 Planning Approach Simulation -- 3.2 Test Flights -- 4 Conclusions and Future Works -- References -- Smart Renewable Energies: Advancing AI Algorithms in the Renewable Energy Industry -- Machine Learning Health Estimation for Lithium-Ion Batteries Under Varied Conditions -- 1 Introduction -- 2 Methods -- 2.1 Experimental Design and Data Processing -- 3 Results and Discussion -- 4 Conclusions -- References -- Energy Flux Prediction Using an Ordinal Soft Labelling Strategy -- 1 Introduction -- 2 Data Description and Processing -- 2.1 Buoys Measurements and Reanalysis Data -- 2.2 Obtaining Ordinal Labels -- 3 Experimental Settings -- 3.1 Compared Methodologies -- 3.2 Model Training -- 4 Results and Discussion -- 5 Conclusions -- References -- Medium- and Long-Term Wind Speed Prediction Using the Multi-task Learning Paradigm -- 1 Introduction -- 2 Data Description -- 2.1 Wind Speed Data -- 2.2 Predictive Variables -- 3 Multi-task Artificial Neural Networks -- 4 Experimental Settings -- 5 Results and Discussion -- 6 Conclusions.
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Record Nr. UNINA-9910865263403321
Ferrández Vicente José Manuel  
Cham : , : Springer, , 2024
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