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Applied Intelligence : First International Conference, ICAI 2023, Nanning, China, December 8-12, 2023, Proceedings, Part I
| Applied Intelligence : First International Conference, ICAI 2023, Nanning, China, December 8-12, 2023, Proceedings, Part I |
| Autore | Huang De-Shuang |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (403 pages) |
| Altri autori (Persone) |
PremaratnePrashan
YuanChangan |
| Collana | Communications in Computer and Information Science Series |
| ISBN | 981-9709-03-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Biomedical Data Modeling and Mining -- Investigation and Analysis of Corneal Morphology in Young Divers -- 1 Introduction -- 2 Methods -- 2.1 Study Participants -- 2.2 Experimental Design -- 2.3 Statistical Analysis -- 3 Results -- 3.1 Comparison of Corneal Morphology Between Divers and Age-Matched Children -- 3.2 Relationship Between Gender and Corneal Morphology -- 3.3 Relationship Between Age and Corneal Morphology -- 3.4 Relationship Between Sport Level and Corneal Morphology -- 3.5 Relationship Between Training Time and Corneal Morphology -- 4 Discussion -- 5 Conclusion -- References -- EEG Channels Selection Based on BiLSTM and NSGAII -- 1 Introduction -- 2 Related Work -- 2.1 EEG Dataset -- 2.2 Bi-directional Long Short-Term Memory -- 2.3 Non-dominated Sorting Genetic Algorithm-II -- 3 Experiment Setting and Results -- 4 Conclusion -- References -- Self-Guided Local Prototype Network for Few-Shot Medical Image Segmentation -- 1 Introduction -- 2 Related Work -- 2.1 Few-Shot Learning -- 2.2 Few-Shot Semantic Segmentation for Medical Image -- 3 Methods -- 3.1 Problem Definition -- 3.2 Self-guided Local Prototype Generation Module -- 3.3 Prior-Guided Attention Module -- 3.4 Similarity-Based Segmentation -- 3.5 Training Strategy -- 4 Experiments -- 4.1 Datasets -- 4.2 Experimental Setup and Evaluation Metrics -- 4.3 Implementation Details -- 4.4 Results and Analysis -- 4.5 Ablation Analysis -- 5 Conclusion -- References -- Staphylococcus Aureus Function Proteins Classification with Time Series Forest -- 1 Introduction -- 2 Methods and Materials -- 2.1 Data -- 2.2 PC PseAAC -- 2.3 Classification Model -- 2.4 Performances -- 3 Results -- 4 Conclusions -- References -- Bradyrhizobium Elkanii's Genes Classification with SVM -- 1 Introduction -- 2 Methods and Materials.
2.1 Data -- 2.2 Support Vector Machine -- 2.3 Enhanced Nucleic Acid Composition (ENAC) -- 2.4 Evaluation Metrics and Methods -- 3 Result and Discussions -- 4 Conclusion -- References -- Oral Lichen Planus Classification with SEResNet -- 1 Introduction -- 2 Methods and Materials -- 2.1 Data -- 2.2 Classification Model -- 2.3 Evaluation Metrics and Methods -- 3 Result -- 4 Conclusion -- References -- Nucleotide Sequence Classification of Paeonia Lactiflora Based on Feature Representation Learning -- 1 Introduction -- 2 Methods and Materials -- 2.1 Data -- 2.2 k-mers Feature Extraction Method -- 2.3 Graph Neural Network (GNN) -- 2.4 Graph Convolutional Neural Network (GCN) -- 2.5 Construction of Graphs -- 2.6 Evaluation Metrics and Methods -- 3 Result and Discussions -- 4 Conclusion -- References -- Semantic Similarity Functions and Their Applications -- 1 Introduction -- 2 A Family of New Semantic Distance Functions -- 2.1 Semantic Measure for Mxx Model -- 2.2 Similarity Between Sets -- 2.3 Implementation -- 3 An Approach to Assess Drug-Drug Similarity -- 4 Using Similarity of Sets to Retrieve Relevant Datasets -- 5 Conclusion -- References -- A Multi-Scale Spatiotemporal Capsule Network for Epilepsy Seizure Detection -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data Preparation -- 2.2 Pre-processing -- 2.3 Model Architecture -- 3 Experiments and Results -- 3.1 Experimental Settings -- 3.2 Training Details -- 3.3 Results and Analysis -- 4 Discussion -- 4.1 Analysis of Model Architecture -- 5 Conclusion -- References -- Improved ConvNeXt Facial Expression Recognition Embedded with Attention Mechanism -- 1 Introduction -- 2 Related Work -- 2.1 ConvNeXt -- 2.2 ECA-Net -- 2.3 Transfer Learning -- 3 Model Construction -- 3.1 ECA-ConvNeXt Network Models -- 3.2 Improvement of the Loss Function -- 3.3 AdamW Optimizer -- 3.4 GELU Activation Function. 4 Experiment Analysis -- 4.1 Dataset -- 4.2 Experimental Methods and Environment Configuration -- 4.3 Evaluation Criteria -- 4.4 Result Analysis -- 4.5 Experimental Comparisons -- 5 Conclusions -- References -- A Domain Adaptation Deep Learning Network for EEG-Based Motor Imagery Classification -- 1 Introduction -- 2 Methods -- 2.1 3D Representation of EEG -- 2.2 Architecture of DADLNet -- 2.3 Data Description -- 2.4 Baseline Models -- 2.5 Experimental Evaluation -- 3 Result -- 3.1 MI Classification Result -- 4 Discussion -- 4.1 Transfer Learning -- 4.2 Attention -- 5 Conclusion -- References -- T-GraphDTA: A Drug-Target Binding Affinity Prediction Framework Based on Protein Pre-training Model and Hybrid Graph Neural Network -- 1 Introduction -- 2 Method -- 2.1 Overview of T-GraphDTA -- 2.2 Data Pre-processing -- 2.3 Feature Extraction for Proteins -- 2.4 Feature Extraction Module for Drugs -- 2.5 Feature Fusion -- 2.6 Predictor -- 3 Experimental Result and Analysis -- 3.1 Datasets and Evaluation Metrics -- 3.2 Baselines -- 3.3 Experimental Setup -- 3.4 Results and Analysis -- 4 Conclusion -- References -- Imputation of Compound Property Assay Data Using a Gene Expression Programming-Based Method -- 1 Introduction -- 2 Overview of Gene Expression Programming -- 3 GEP-Based Method for Imputing Missing Data of Compound Properties -- 3.1 Problem Description -- 3.2 The GEP-CPI Method -- 3.3 GEP-CPI Process -- 4 Experiment and Results Analysis -- 4.1 Experimental Setup -- 4.2 Experimental Results and Analysis -- 4.3 The Impact of Key Parameters of GEP-CPI -- 5 Conclusion -- References -- Identification of Parkinson's Disease Associated Genes Through Explicable Deep Learning and Bioinformatic -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data Acquisition for Parkinson's Disease -- 2.2 Methodology Overview. 2.3 Analysis of Differential Gene Expression -- 2.4 Formulation of Deep Learning Neural Network Models -- 2.5 Development of Clinical Risk Prediction Models Anchored in Putative Biomarkers -- 3 Result and Discussion -- 3.1 Selection of Parkinson's Disease-Related Differentially Expressed Genes and Construction of a Training Set Based on These Genes -- 3.2 Construction of an Interpretable Deep Learning Model Based on Parkinson's Disease Pathways -- 3.3 Identification of Biomarkers for Parkinson's Disease Diagnosis -- 3.4 Establishment and Evaluation of a Risk Score Prediction Model -- 4 Conclusion -- References -- Enzyme Turnover Number Prediction Based on Protein 3D Structures -- 1 Introduction -- 2 Methods -- 2.1 Data Acquisition -- 2.2 Pre-trained Protein Structure Encoder -- 2.3 Calculating Kcat Values -- 3 Experiments -- 3.1 Dataset -- 3.2 Splitting the Dataset -- 3.3 Training the Datasets -- 4 Conclusion -- References -- Computer Vision -- Challenges in Realizing Artificial Intelligence Assisted Sign Language Recognition -- 1 Introduction -- 2 Evidence of Dynamic Gestures and the Mistakes of Interpreting Them Using Computer Vision -- 2.1 Evidence of 'Start' and 'End' Issues -- 3 The Advantages of a Glove Based System -- 4 Conclusion -- References -- Efficient and Accurate Document Parsing and Verification Based on OCR Engine -- 1 Introduction -- 2 Related Work -- 2.1 OCR Technology -- 2.2 Enhancing OCR Error Correction -- 3 Method -- 3.1 Image Preprocessing -- 3.2 Selection and Configuration of OCR Engines -- 3.3 Model Training -- 3.4 Enhanced Error Correction Capability -- 4 Experimental Design -- 5 Experimental Results and Analysis -- 6 Application Cases and Discussions -- 7 Conclusion -- References -- Intelligent Comparison of Bidding Documents Based on Algorithmic Analysis and Visualization -- 1 Introduction -- 2 Related Work. 2.1 Text Parsing Techniques -- 2.2 Text Comparison Techniques -- 2.3 Text Comparison Techniques -- 3 Method -- 3.1 Data Preprocessing and Model Design -- 3.2 Similarity Measurement and Threshold Determination -- 3.3 Visualization and Result Analysis -- 4 Experimental Design -- 5 Experimental Results and Analysis -- 6 Application Cases and Discussions -- 7 Conclusion -- References -- Image Denoising Method with Improved Threshold Function -- 1 Introduction -- 2 Principle of Wavelet Threshold Denoising -- 3 Threshold Functions Available -- 3.1 Traditional Threshold Functions -- 3.2 Improved Threshold Functions Available -- 4 New Improved Threshold Function -- 5 Simulation Experiments -- 6 Conclusions -- References -- FasterPlateNet: A Faster Deep Neural Network for License Plate Detection and Recognition -- 1 Introduction -- 2 Methodology -- 2.1 Overview of FasterPlateNet -- 2.2 Network Backbone of Faster PlateNet -- 2.3 Multi-scale Fusion Neck -- 2.4 Detection Head -- 2.5 License Plate Recognition Network PlateNet -- 3 Experimental Results and Analysis -- 3.1 Dataset Introduction -- 3.2 Evaluation Metrics and Baseline Models -- 3.3 Experimental Setup and Hardware Environment -- 3.4 Experimental Results -- 4 Conclusion -- References -- An Improved Seq-Deepfake Detection Method -- 1 Background -- 2 Related Work -- 3 SeqFakeFormer Network Model Structure -- 3.1 Resnet Extraction Features -- 3.2 Spatial Relationship Feature Extraction -- 3.3 Spatial Augmented Cross-Attention Sequence Relationship Modeling -- 4 Improved Seq-DeepFake Detection Fake Restoration Sequence Model -- 4.1 Improved Activation Function -- 4.2 Introducing Multiple Attention Mechanism Modules -- 5 Experiments -- 5.1 Introduction to Data -- 5.2 Experimental Environment and Training Strategy -- 5.3 Evaluation Indicators -- 5.4 Experimental Results and Analysis -- 6 Conclusion. References. |
| Record Nr. | UNINA-9910842291103321 |
Huang De-Shuang
|
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| Singapore : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Applied Intelligence : First International Conference, ICAI 2023, Nanning, China, December 8-12, 2023, Proceedings, Part II
| Applied Intelligence : First International Conference, ICAI 2023, Nanning, China, December 8-12, 2023, Proceedings, Part II |
| Autore | Huang De-Shuang |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (373 pages) |
| Altri autori (Persone) |
PremaratnePrashan
YuanChangan |
| Collana | Communications in Computer and Information Science Series |
| ISBN | 981-9708-27-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Intelligent Control and Automation -- Advancing Short-Term Traffic Congestion Prediction: Navigating Challenges in Learning-Based Approaches -- 1 Introduction -- 2 Analysis of Core Methodologies -- 2.1 Short-Term Traffic Flow Prediction -- 2.2 Bayesian Network Optimization -- 2.3 Stacked Autoencoders -- 2.4 Adaptive Kalman Filter for Stochastic Traffic Detection -- 2.5 Image-Based Real-Time Regression Methods -- 3 Synthesis of Literature Reviews -- 3.1 Online Prediction Features and Predictor Selection -- 3.2 Accuracy Under Recurrent/Non-recurrent Events -- 4 The Current State of Art -- 4.1 Neural-Networks-Based Methods -- 4.2 Integration Methods -- 5 Conclusion -- References -- Interval Observers Design for Discrete-Time Linear Systems with Uncertainties -- 1 Introduction -- 2 The Main Models -- 3 Parametric Uncertainty -- 4 Example -- 5 Conclusion -- References -- Transformer-Based Multi-industry Electricity Demand Forecasting -- 1 Introduction -- 2 Related Work -- 2.1 Classical Statistical Methods -- 2.2 Machine Learning Methods -- 3 Proposed Method -- 3.1 Overall Framework -- 3.2 Feature Extraction Module -- 3.3 Time Series Prediction Module -- 4 Proposed Method -- 4.1 Experimental Dataset -- 4.2 Data Pre-processing -- 4.3 Experimental Results and Analysis -- 5 Conclusion -- References -- Method of Visual Formation Control for Large Group of AUV in Environment with Obstacles -- 1 Introduction -- 2 Problem Formulation -- 3 Trajectories Formation Method -- 4 AUV Control System -- 4.1 Mathematical Model of AUV -- 4.2 Model Predictive Control for AUV -- 5 Simulation Results -- 6 Conclusions -- References -- A Broader Study of Spectral Missing in Multi-spectral Vehicle Re-identification -- 1 Introduction -- 2 Related Work -- 2.1 One-stream Learning.
2.2 Multi-stream Learning -- 3 Proposed Benchmark -- 3.1 Data Source -- 3.2 Missing Criterion -- 3.3 Experimental Setup -- 4 Experiments and Analysis -- 4.1 Constant Individual Spectral Missing -- 4.2 Constant Siamese Spectral Missing -- 4.3 Random Spectral Missing -- 5 Conclusion -- References -- TimesNet Model for Multi-industry Electricity Demand Forecasting -- 1 Introduction -- 2 Proposed Method -- 2.1 Overall Framwork -- 2.2 Transform 1d-Variations into 2d-Variations -- 2.3 TimesBlock -- 2.4 Capture 2D Temporal Transformation Features -- 2.5 Adaptive Aggregation -- 3 Experiment -- 3.1 Data Pre-processing -- 3.2 Experimental Baseline Methods -- 3.3 Structure of Network and Parameter Settings -- 3.4 Experimental Results and Analysis -- 4 Conclusion -- 5 Future Work -- References -- Design and Utilization of an Auto-Visual-Inspection Composite System for Suspension Cables with Fast Flaw Identification -- 1 Introduction -- 2 System Overview -- 2.1 System Structure of the Designed Cable Inspection Robot -- 2.2 Onboard Electronics -- 2.3 YOLOv7-Based Image Identification -- 3 Indoor Evaluation of Climbing Ability -- 3.1 Climbing Performance Under Various Payload Conditions -- 3.2 Obstacle Crossing Performances of Both Driving and Passive Units -- 4 Field Trials and Applications -- 5 Conclusion -- References -- A Critical Review of Multi Criteria Decision Analysis Method for Decision Making and Prediction in Big Data Healthcare Applications -- 1 Introduction -- 2 A Brief Review of MCR Applied in Healthcare Domain -- 3 Shared Decision Making - Patient-Centered Healthcare -- 3.1 Proposed PCH Model -- 3.2 Coverage and Comparison -- 3.3 Criteria, Preferences, and Decision Quality Measurement -- 4 Fair Decision Making Principle -- 4.1 Expert Knowledge for Fair Decision Making -- 4.2 Semantics for Patient-Centric Fairness -- 5 A Skeleton of Fair Algorithm. 6 Conclusion -- References -- A New and Efficient Dormitory Management System -- 1 Introduction -- 2 Key Technologies of the System -- 2.1 JSP Technology -- 2.2 B/S Architecture -- 2.3 MYSQL Database -- 3 System Design -- 3.1 Overall System Design -- 3.2 System Detailed Design -- 3.3 Database Design -- 4 System Implementation -- 5 Conclusion -- References -- Edge Collaborative Assisted Caching Content Placement Optimization Strategy Based on DDSG -- 1 Introduction -- 2 System Model -- 2.1 Network Model -- 2.2 Communication Model -- 2.3 Caching Model -- 2.4 Computing Model -- 2.5 Optimization Description of the Problem -- 3 Our Optimization Algorithm for Caching Content Placement -- 3.1 The Application of DDPG Algorithm -- 3.2 Content Placement Optimization -- 3.3 Implementation of Algorithm -- 4 Simulation Experiments and Performance Analysis -- 5 Conclusions -- References -- Design and Implementation of CNN-Based DTTB Image Intelligent Fault Diagnosis Platform -- 1 Introduction -- 2 Design of the DTTB Image Fault Diagnosis Platform -- 2.1 Key Hardware Device Topology of the Platform -- 2.2 Software Architecture of the Platform -- 2.3 The Virtual Digital AI Inspector -- 2.4 Task Allocation Strategy -- 2.5 Fault Image Diagnosis -- 3 Test Experiment -- 3.1 Experimental Design -- 3.2 Sample Video Compilation for the Experiment -- 3.3 Experimental Results -- 4 Deployment and Performance -- 5 Conclusion -- References -- Smart Power Safety Hazard Inspection System Based on YOLOv7 -- 1 Introduction -- 2 YOLOv7 Detection Model -- 3 Research on Target Detection Algorithm of Hidden Power Safety Hazard -- 3.1 Experimental Environment and Parameters -- 3.2 Dataset Selection and Processing -- 3.3 Evaluation Indexes -- 3.4 Analysis of Experimental Results -- 4 System Design and Implementation -- 4.1 Overall Design of System. 4.2 Function Module Design and Effect Display -- 4.3 System Operation Effect -- 5 Conclusion -- References -- A Defect Detection Method of Drainage Pipe Based on Improved YOLOv5s -- 1 Introduction -- 2 Methods -- 2.1 Addition of a Deep Target Detection Layer -- 2.2 Deformable Convolutional Network Module -- 2.3 Improvement of Loss Function -- 3 Experimental Results and Analysis -- 3.1 Dataset Construction and Environment Configuration -- 3.2 Evaluation Metrics -- 3.3 Analysis of Experimental Results -- 4 Conclusion -- References -- Visual Servo Control System for AUV Stabilization -- 1 Introduction -- 2 Proposed Visual Servo Stabilization System -- 3 AUV Turn in the Direction of Water Flow -- 4 Search for a Lost Visual Marker -- 4.1 First Iteration Where the Marker is not Found -- 5 AUV Model -- 6 Simulation Results -- 7 Conclusion -- References -- Research on Fuzzy Weighted Controller for Battery Discharge of Dual-Channel Dual-Active Bridge -- 1 Introduction -- 2 Dual Channel Dual Active Bridge Circuit and Its Control Strategy -- 3 Principle of Fuzzy Weighted Control Law for Battery Discharge -- 3.1 Design Method of Fuzzy Controller -- 3.2 Design of Weighted Law -- 4 Analysis of Experimental Results -- 5 Conclusion -- References -- Multi-scale Texture Network for Industrial Surface Defect Detection -- 1 Introduction -- 2 Method -- 2.1 Overview of the Framework -- 2.2 Multi-scale Texture Feature Processing -- 2.3 Multi-head Feature Encoding -- 2.4 Multi-scale Perceptual Loss -- 3 Experiments -- 3.1 Dataset -- 3.2 Implementation Details -- 3.3 Evaluation Metrics -- 3.4 Comparisons with Different Components -- 3.5 Effectiveness of MUlti-scale Perceptual Loss -- 3.6 Compared with Other Methods -- 4 Conclusions -- References -- Machine Learning -- Large-Scale Data Challenges: Instability in Statistical Learning -- 1 Introduction. 2 Ill-Condition of Kernel Matrix -- 3 Sparse Approximation to Precision Matrix -- 4 Simulation Studies -- 5 Conclusions -- References -- Deepfake Detection Performance Evaluation and Enhancement Through Parameter Optimization -- 1 Introduction -- 2 Related Work -- 2.1 DeepFake Creation -- 2.2 DeepFake Detection -- 3 Methodology -- 3.1 Models -- 3.2 Datasets -- 3.3 Metrics -- 4 Experiment -- 4.1 Experiment Setup -- 4.2 Whole Image vs. Clipped Image -- 4.3 Discrete Frames vs. Consecutive Frames -- 4.4 Pretrained Model vs. Model Trained from Scratch -- 4.5 Data Augmentation vs. Not use -- 5 Discussion -- 6 Conclusion -- References -- Prediction Intervals of Principal Component Regression with Applications to Molecular Descriptors Datasets -- 1 Introduction -- 2 Notation -- 3 Theory and Algorithm -- 3.1 The Jackknife Method -- 3.2 The Jackknife + method -- 3.3 The Cross-Validation + (CV+) Method -- 3.4 The Jackknife + -After-Bootstrap(J + aB) Method -- 3.5 The Leave-One-Bag-Out + (LOBO +) Method -- 3.6 Evaluation Index -- 4 Analysis of Simulation and Real Experiments -- 4.1 Simulation Experiments -- 4.2 Real Experiments -- 5 Conclusion -- 6 Declaration of Competing Interest -- References -- Tourist Attraction Recommendation System Based on Django and Collaborative Filtering -- 1 Introduction -- 2 System-Related Theories -- 2.1 Introduction of Django Framework -- 2.2 MySQL Database -- 2.3 System Architecture -- 2.4 Collaborative Filtering -- 2.5 Map LBS -- 3 Methods -- 3.1 DBSCAN Clustering Algorithm -- 3.2 ALS Matrix Factorization -- 4 Results and Presentation -- 4.1 DBSCAN Clustering Effectiveness -- 4.2 System Navigation Interface -- 5 Conclusion -- References -- Effective Rules for a Rule-Based SIEM System in Detecting DoS Attacks: An Association Rule Mining Approach -- 1 Introduction -- 2 Related Works -- 3 Materials and Methods. 3.1 Association Rule Mining. |
| Record Nr. | UNINA-9910842296703321 |
|
Huang De-Shuang
|
||
| Singapore : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Bio-Inspired Computing and Applications [[electronic resource] ] : 7th International Conference on Intelligent Computing, ICIC2011, Zhengzhou, China, August 11-14. 2011, Revised Papers / / edited by De-Shuang Huang, Yong Gan, Prashan Premaratne, Kyungsook Han
| Bio-Inspired Computing and Applications [[electronic resource] ] : 7th International Conference on Intelligent Computing, ICIC2011, Zhengzhou, China, August 11-14. 2011, Revised Papers / / edited by De-Shuang Huang, Yong Gan, Prashan Premaratne, Kyungsook Han |
| Edizione | [1st ed. 2012.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 |
| Descrizione fisica | 1 online resource (XXIII, 713 p.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Bioinformatics |
| Soggetto topico |
Artificial intelligence
Pattern recognition Application software Optical data processing Computers User interfaces (Computer systems) Artificial Intelligence Pattern Recognition Information Systems Applications (incl. Internet) Image Processing and Computer Vision Computation by Abstract Devices User Interfaces and Human Computer Interaction |
| ISBN | 3-642-24553-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996466001203316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Intelligent computing methodologies : 16th International Conference, ICIC 2020, Bari, Italy, October 2-5, 2020, proceedings. Part III / / De-Shuang Huang and Prashan Premaratne (editors)
| Intelligent computing methodologies : 16th International Conference, ICIC 2020, Bari, Italy, October 2-5, 2020, proceedings. Part III / / De-Shuang Huang and Prashan Premaratne (editors) |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2020] |
| Descrizione fisica | 1 online resource (XXII, 638 p. 67 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Computer Communication Networks
Artificial intelligence Computing Milieux |
| ISBN | 3-030-60796-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Intelligent Computing in Robotics -- Intelligent Computing in Computer Vision -- Intelligent Computing in Communication Networks -- Intelligent Control and Automation -- Intelligent Data Analysis and Prediction -- Intelligent Fault Diagnosis -- Fuzzy Theory and Algorithms -- Kernel Methods and Supporting Vector Machines -- Machine Learning -- Knowledge Discovery and Data Mining -- Natural Language Processing and Computational Linguistics -- Recent Advances in Swarm Intelligence: computing and applications -- Information Security. |
| Record Nr. | UNINA-9910427706403321 |
| Cham, Switzerland : , : Springer, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Intelligent computing methodologies : 16th International Conference, ICIC 2020, Bari, Italy, October 2-5, 2020, proceedings. Part III / / De-Shuang Huang and Prashan Premaratne (editors)
| Intelligent computing methodologies : 16th International Conference, ICIC 2020, Bari, Italy, October 2-5, 2020, proceedings. Part III / / De-Shuang Huang and Prashan Premaratne (editors) |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2020] |
| Descrizione fisica | 1 online resource (XXII, 638 p. 67 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Computer Communication Networks
Artificial intelligence Computing Milieux |
| ISBN | 3-030-60796-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Intelligent Computing in Robotics -- Intelligent Computing in Computer Vision -- Intelligent Computing in Communication Networks -- Intelligent Control and Automation -- Intelligent Data Analysis and Prediction -- Intelligent Fault Diagnosis -- Fuzzy Theory and Algorithms -- Kernel Methods and Supporting Vector Machines -- Machine Learning -- Knowledge Discovery and Data Mining -- Natural Language Processing and Computational Linguistics -- Recent Advances in Swarm Intelligence: computing and applications -- Information Security. |
| Record Nr. | UNISA-996418314503316 |
| Cham, Switzerland : , : Springer, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Intelligent Computing Theories [[electronic resource] ] : 9th International Conference, ICIC 2013, Nanning, China, July 28-31, 2013, Proceedings / / edited by De-Shuang Huang, Vitoantonio Bevilacqua, Juan Carlos Figueroa, Prashan Premaratne
| Intelligent Computing Theories [[electronic resource] ] : 9th International Conference, ICIC 2013, Nanning, China, July 28-31, 2013, Proceedings / / edited by De-Shuang Huang, Vitoantonio Bevilacqua, Juan Carlos Figueroa, Prashan Premaratne |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XXII, 651 p. 256 illus.) |
| Disciplina | 006 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Artificial intelligence
Optical data processing Pattern recognition Bioinformatics Application software Computers Artificial Intelligence Image Processing and Computer Vision Pattern Recognition Computational Biology/Bioinformatics Information Systems Applications (incl. Internet) Computation by Abstract Devices |
| ISBN | 3-642-39479-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Neural Networks -- Nature Inspired Computing and Optimization -- Cognitive Science and Computational Neuroscience -- Knowledge Discovery and Data Mining -- Evolutionary Learning and Genetic Algorithms -- Machine Learning Theory and Methods -- Natural Language Processing and Computational Linguistics -- Fuzzy Theory and Models -- Fuzzy Systems and Soft Computing -- Unsupervised and Reinforcement Learning -- Intelligent Computing in Finance/Banking -- Intelligent Computing in Communication Networks -- Intelligent Computing in Network Software/Hardware -- Intelligent Image/Document Retrievals -- Intelligent Data Fusion and Information Security -- Intelligent Prediction and Time Series Analysis -- Intelligent Sensor Networks -- Intelligent Fault Diagnosis -- Virtual Reality and Human-Computer Interaction -- Intelligent Computing in Robotics -- Intelligent Computing in Computer Vision. |
| Record Nr. | UNISA-996465987003316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Intelligent Computing Theories : 9th International Conference, ICIC 2013, Nanning, China, July 28-31, 2013, Proceedings / / edited by De-Shuang Huang, Vitoantonio Bevilacqua, Juan Carlos Figueroa, Prashan Premaratne
| Intelligent Computing Theories : 9th International Conference, ICIC 2013, Nanning, China, July 28-31, 2013, Proceedings / / edited by De-Shuang Huang, Vitoantonio Bevilacqua, Juan Carlos Figueroa, Prashan Premaratne |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XXII, 651 p. 256 illus.) |
| Disciplina | 006 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Artificial intelligence
Optical data processing Pattern recognition Bioinformatics Application software Computers Artificial Intelligence Image Processing and Computer Vision Pattern Recognition Computational Biology/Bioinformatics Information Systems Applications (incl. Internet) Computation by Abstract Devices |
| ISBN | 3-642-39479-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Neural Networks -- Nature Inspired Computing and Optimization -- Cognitive Science and Computational Neuroscience -- Knowledge Discovery and Data Mining -- Evolutionary Learning and Genetic Algorithms -- Machine Learning Theory and Methods -- Natural Language Processing and Computational Linguistics -- Fuzzy Theory and Models -- Fuzzy Systems and Soft Computing -- Unsupervised and Reinforcement Learning -- Intelligent Computing in Finance/Banking -- Intelligent Computing in Communication Networks -- Intelligent Computing in Network Software/Hardware -- Intelligent Image/Document Retrievals -- Intelligent Data Fusion and Information Security -- Intelligent Prediction and Time Series Analysis -- Intelligent Sensor Networks -- Intelligent Fault Diagnosis -- Virtual Reality and Human-Computer Interaction -- Intelligent Computing in Robotics -- Intelligent Computing in Computer Vision. |
| Record Nr. | UNINA-9910483978203321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Intelligent Computing Theories and Application [[electronic resource] ] : 15th International Conference, ICIC 2019, Nanchang, China, August 3–6, 2019, Proceedings, Part I / / edited by De-Shuang Huang, Vitoantonio Bevilacqua, Prashan Premaratne
| Intelligent Computing Theories and Application [[electronic resource] ] : 15th International Conference, ICIC 2019, Nanchang, China, August 3–6, 2019, Proceedings, Part I / / edited by De-Shuang Huang, Vitoantonio Bevilacqua, Prashan Premaratne |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XXXV, 768 p. 373 illus., 270 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Optical data processing
Artificial intelligence Computer communication systems Algorithms Image Processing and Computer Vision Artificial Intelligence Computer Communication Networks Algorithm Analysis and Problem Complexity |
| ISBN | 3-030-26763-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Solving Symmetric and Asymmetric Traveling Salesman Problems Through Probe Machine with Local Search -- An Evolutionary Algorithm based on Multi-operator Ensemble for Multi-objective Optimization -- Water Evaporation Optimization Algorithm based on Classification and Unbiased Search -- A discrete sine cosine algorithm for community detection -- Automatical Pulmonary Nodule Detection by Feature Contrast Learning -- Unsupervised Cross-Domain Person Re-Identification Based on Style Transfer -- Improving Object Detection by Deep Networks with Class-related Features -- Dynamic Neural Network for Business and Market Analysis -- ψ-type synchronization of memristor-based competitive neural networks with time-varying delays via nonlinear feedback control -- A Computer Immune Optimization Algorithm Based on Group Evolutionary Strategy* -- Sound field reproduction in reverberant room using the Alternating Direction Method of Multipliers based Lasso and regularized Least-Square -- Improvement of Image Reconstruction Algorithm Based on CS -- Automatic Badminton Action Recognition Using CNN with Adaptive Feature Extraction on Sensor Data -- A Deep Learning Model for Multi-Label Classification Using Capsule Networks -- Bundled Round Bars Counting Based on Iteratively Trained SVM -- Combining LSTM Network Model and Wavelet Transform for Predicting Self-interacting Proteins -- Coarse-to-Fine Supervised Descent Method for Face Alignment -- Prediction of Chemical Oxygen Demand in Sewage Based on Support Vector Machine and Neural Network -- Relaxed 2-D Principal Component Analysis By Lp Norm For Face Recognition -- Palm Recognition Using the Adaptive LWT Based Sparse Representation Method -- Dislocation Theory Based Level Set Image Segmentation -- Out-of-stock Detection Based on Deep Learning -- A Fractional-order Variational Residual CNN for Low Dose CT Image Denoising -- CNN-SIFT Consecutive Searching and Matching for Wine Label Retrieval -- Image Denoising via Multiple Images Nonlocally Means and Residual Tensor Decomposition -- Identification of apple tree trunk diseases based on improved convolutional neural network with fused loss functions -- Mirror PCA: exploiting facial symmetry for feature extraction -- Face Image Super-Resolution via Sparse Representation and Local Texture Constraints -- Convolutional Capsule-based Network for Person Re-Identification -- Plant Leaf Recognition Based on Conditional Generative Adversarial Nets -- Leaf Recognition Based on Capsule Network -- Image Segmentation Based on Local Chan-Vese Model Combined with Fractional Order Derivative -- Deep learning based fluid segmentation in retinal optical coherence tomography images -- An Authentication Scheme in VANETs Based on Group Signature -- Malware Detection in Android System Based on Change Perception -- Model Analysis and Prediction of People’s Travel Behaviors Under No Shared Bicycles -- Research on Security Vulnerabilities Based on Artificial Intelligence -- Privacy Preservation Based on Key Attribute and Structure Generalization of Social Network for Medical Data Publication -- EmoSens – the Proposal of System for Recognition of Emotion with SDK Affectiva and various sensors -- Smart-Scrolling: Improving Information Access Performance in Linear Layout Views for Small-Screen Devices -- Scalable Distributed Genetic Algorithm using Apache Spark (S-GA) -- EEG-based Seizure Diagnosis Using Discriminative Fractal Features From Feature Selection -- Classifying Mixed Patterns of Proteins in High-throughput Microscopy Images Using Deep Neural Networks -- Integration of Multimodal Data for Breast Cancer Classification Using a Hybrid Deep Learning Method -- Liver Segmentation in CT Images with Adversarial Learning -- Cascade Dense-unet for Prostate Segmentation in MR Images -- A Percolation Algorithm to Discover Emerging Research Topics -- Designing and Implementing Mobile Robot Navigation Based on Behavioral Programming -- Weed Recognition in Wheat Field based on Sparse Representation Classification -- Automatic Cloud Segmentation Based on Fused Fully Convolutional Networks -- Label Propagation Based Semi-supervised Feature Selection to Decode Clinical Phenotype of Huntington’s Disease -- Urine Sediment Detection Based on Deep Learning -- Identification of Apple Leaf Diseases Based on Convolutional Neural Network -- Multiomics data analysis using tensor decomposition based unsupervised feature extraction -- Sequence-based prediction of hot spots in protein-RNA complexes using an ensemble approach -- Realtime Computer Vision-based Accurate Vehicle Counting and Speed Estimation for Highways -- Comparison of Various Weighted K-Nearest Neighbor Methods for Positioning Systems Using Visible LED Lights -- Parameters Optimization for Support Vector Regression based Indoor Visible Light Localization -- A Novel Mechanism of Position Update in Multi-objective Particle Swarm Optimization -- A New Multi-objective Particle Swarm Optimization Based on Linear Decreasing Velocity Update Mechanism -- Cluster-head Selection for Energy-harvesting IoT Devices in Multi-tier 5G Cellular Networks -- Segmenting Crop Disease Leaf Image by Modified Fully-Convolutional Networks -- A Recognition Method for Italian Alphabet Gestures Based on Convolutional Neural Network -- Two-stage Algorithm for Solving Multi-Depot Green Vehicle Routing Problem with Time Window -- Hybrid Cross-entropy Algorithm for Mixed Model U-shaped Assembly Line Balancing Problem -- Study on medical image report generation based on improved encoding-decoding method -- Multi-verse Optimization Algorithm for Solving Two-dimensional TSP -- A quaternion’s encoding sine cosine algorithm -- A Complex-valued Encoding Moth-flame Optimization Algorithm for Global Optimization -- An Enhanced Whale Optimization Algorithm with Simplex Method -- BFPA: Butterfly Strategy Flower Pollination Algorithm -- Artificial Neural Network Hyperparameter Optimisation for Network Intrusion Detection. |
| Record Nr. | UNISA-996466434203316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Intelligent Computing Theories and Application : 15th International Conference, ICIC 2019, Nanchang, China, August 3–6, 2019, Proceedings, Part I / / edited by De-Shuang Huang, Vitoantonio Bevilacqua, Prashan Premaratne
| Intelligent Computing Theories and Application : 15th International Conference, ICIC 2019, Nanchang, China, August 3–6, 2019, Proceedings, Part I / / edited by De-Shuang Huang, Vitoantonio Bevilacqua, Prashan Premaratne |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XXXV, 768 p. 373 illus., 270 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Optical data processing
Artificial intelligence Computer communication systems Algorithms Image Processing and Computer Vision Artificial Intelligence Computer Communication Networks Algorithm Analysis and Problem Complexity |
| ISBN | 3-030-26763-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Solving Symmetric and Asymmetric Traveling Salesman Problems Through Probe Machine with Local Search -- An Evolutionary Algorithm based on Multi-operator Ensemble for Multi-objective Optimization -- Water Evaporation Optimization Algorithm based on Classification and Unbiased Search -- A discrete sine cosine algorithm for community detection -- Automatical Pulmonary Nodule Detection by Feature Contrast Learning -- Unsupervised Cross-Domain Person Re-Identification Based on Style Transfer -- Improving Object Detection by Deep Networks with Class-related Features -- Dynamic Neural Network for Business and Market Analysis -- ψ-type synchronization of memristor-based competitive neural networks with time-varying delays via nonlinear feedback control -- A Computer Immune Optimization Algorithm Based on Group Evolutionary Strategy* -- Sound field reproduction in reverberant room using the Alternating Direction Method of Multipliers based Lasso and regularized Least-Square -- Improvement of Image Reconstruction Algorithm Based on CS -- Automatic Badminton Action Recognition Using CNN with Adaptive Feature Extraction on Sensor Data -- A Deep Learning Model for Multi-Label Classification Using Capsule Networks -- Bundled Round Bars Counting Based on Iteratively Trained SVM -- Combining LSTM Network Model and Wavelet Transform for Predicting Self-interacting Proteins -- Coarse-to-Fine Supervised Descent Method for Face Alignment -- Prediction of Chemical Oxygen Demand in Sewage Based on Support Vector Machine and Neural Network -- Relaxed 2-D Principal Component Analysis By Lp Norm For Face Recognition -- Palm Recognition Using the Adaptive LWT Based Sparse Representation Method -- Dislocation Theory Based Level Set Image Segmentation -- Out-of-stock Detection Based on Deep Learning -- A Fractional-order Variational Residual CNN for Low Dose CT Image Denoising -- CNN-SIFT Consecutive Searching and Matching for Wine Label Retrieval -- Image Denoising via Multiple Images Nonlocally Means and Residual Tensor Decomposition -- Identification of apple tree trunk diseases based on improved convolutional neural network with fused loss functions -- Mirror PCA: exploiting facial symmetry for feature extraction -- Face Image Super-Resolution via Sparse Representation and Local Texture Constraints -- Convolutional Capsule-based Network for Person Re-Identification -- Plant Leaf Recognition Based on Conditional Generative Adversarial Nets -- Leaf Recognition Based on Capsule Network -- Image Segmentation Based on Local Chan-Vese Model Combined with Fractional Order Derivative -- Deep learning based fluid segmentation in retinal optical coherence tomography images -- An Authentication Scheme in VANETs Based on Group Signature -- Malware Detection in Android System Based on Change Perception -- Model Analysis and Prediction of People’s Travel Behaviors Under No Shared Bicycles -- Research on Security Vulnerabilities Based on Artificial Intelligence -- Privacy Preservation Based on Key Attribute and Structure Generalization of Social Network for Medical Data Publication -- EmoSens – the Proposal of System for Recognition of Emotion with SDK Affectiva and various sensors -- Smart-Scrolling: Improving Information Access Performance in Linear Layout Views for Small-Screen Devices -- Scalable Distributed Genetic Algorithm using Apache Spark (S-GA) -- EEG-based Seizure Diagnosis Using Discriminative Fractal Features From Feature Selection -- Classifying Mixed Patterns of Proteins in High-throughput Microscopy Images Using Deep Neural Networks -- Integration of Multimodal Data for Breast Cancer Classification Using a Hybrid Deep Learning Method -- Liver Segmentation in CT Images with Adversarial Learning -- Cascade Dense-unet for Prostate Segmentation in MR Images -- A Percolation Algorithm to Discover Emerging Research Topics -- Designing and Implementing Mobile Robot Navigation Based on Behavioral Programming -- Weed Recognition in Wheat Field based on Sparse Representation Classification -- Automatic Cloud Segmentation Based on Fused Fully Convolutional Networks -- Label Propagation Based Semi-supervised Feature Selection to Decode Clinical Phenotype of Huntington’s Disease -- Urine Sediment Detection Based on Deep Learning -- Identification of Apple Leaf Diseases Based on Convolutional Neural Network -- Multiomics data analysis using tensor decomposition based unsupervised feature extraction -- Sequence-based prediction of hot spots in protein-RNA complexes using an ensemble approach -- Realtime Computer Vision-based Accurate Vehicle Counting and Speed Estimation for Highways -- Comparison of Various Weighted K-Nearest Neighbor Methods for Positioning Systems Using Visible LED Lights -- Parameters Optimization for Support Vector Regression based Indoor Visible Light Localization -- A Novel Mechanism of Position Update in Multi-objective Particle Swarm Optimization -- A New Multi-objective Particle Swarm Optimization Based on Linear Decreasing Velocity Update Mechanism -- Cluster-head Selection for Energy-harvesting IoT Devices in Multi-tier 5G Cellular Networks -- Segmenting Crop Disease Leaf Image by Modified Fully-Convolutional Networks -- A Recognition Method for Italian Alphabet Gestures Based on Convolutional Neural Network -- Two-stage Algorithm for Solving Multi-Depot Green Vehicle Routing Problem with Time Window -- Hybrid Cross-entropy Algorithm for Mixed Model U-shaped Assembly Line Balancing Problem -- Study on medical image report generation based on improved encoding-decoding method -- Multi-verse Optimization Algorithm for Solving Two-dimensional TSP -- A quaternion’s encoding sine cosine algorithm -- A Complex-valued Encoding Moth-flame Optimization Algorithm for Global Optimization -- An Enhanced Whale Optimization Algorithm with Simplex Method -- BFPA: Butterfly Strategy Flower Pollination Algorithm -- Artificial Neural Network Hyperparameter Optimisation for Network Intrusion Detection. |
| Record Nr. | UNINA-9910349308603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Intelligent Computing Theories and Application [[electronic resource] ] : 14th International Conference, ICIC 2018, Wuhan, China, August 15-18, 2018, Proceedings, Part I / / edited by De-Shuang Huang, Vitoantonio Bevilacqua, Prashan Premaratne, Phalguni Gupta
| Intelligent Computing Theories and Application [[electronic resource] ] : 14th International Conference, ICIC 2018, Wuhan, China, August 15-18, 2018, Proceedings, Part I / / edited by De-Shuang Huang, Vitoantonio Bevilacqua, Prashan Premaratne, Phalguni Gupta |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XXII, 910 p. 346 illus.) |
| Disciplina | 006.3 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Optical data processing
Algorithms Artificial intelligence Data mining Computer communication systems Special purpose computers Image Processing and Computer Vision Algorithm Analysis and Problem Complexity Artificial Intelligence Data Mining and Knowledge Discovery Computer Communication Networks Special Purpose and Application-Based Systems |
| ISBN | 3-319-95930-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Neural Networks -- Pattern Recognition -- Image Processing -- Intelligent Computing in Robotics -- Intelligent Control and Automation -- Intelligent Data Analysis and Prediction -- Fuzzy Theory and Algorithms -- Supervised Learning -- Unsupervised Learning -- Kernel Methods and Supporting Vector Machines -- Knowledge Discovery and Data Mining -- Natural Language Processing and Computational Linguistics -- Gene Expression Array Analysis -- Systems Biology -- Computational Genomics -- Computational Proteomics -- Gene Regulation Modeling and Analysis -- Protein-Protein Interaction Prediction -- Next-Gen Sequencing and Metagenomics -- Structure Prediction and Folding -- Evolutionary Optimization for Scheduling -- High-Throughput Biomedical Data Integration and Mining -- Machine Learning Algorithms and Applications -- Heuristic Optimization Algorithms for Real-World Applications -- Evolutionary Multi-Objective Optimization and Its Applications -- Swarm Evolutionary Algorithms for Scheduling and Combinatorial -- Optimization -- Swarm Intelligence and Applications in Combinatorial Optimization -- Advances in Metaheuristic Optimization Algorithm -- Advances in Image Processing and Pattern Recognition Techniques -- AI in Biomedicine -- Bioinformatics -- Biometrics Recognition -- Information Security -- Virtual Reality and Human-Computer Interaction -- Healthcare Informatics Theory and Methods -- Intelligent Computing in Computer Vision -- Intelligent Agent and Web Applications -- Reinforcement Learning -- Machine Learning -- Modeling, Simulation, and Optimization of Biological Systems -- Biomedical Data Modeling and Mining -- Cheminformatics -- Intelligent Computing in Computational Biology -- Protein Structure and Function Prediction -- Biomarker Discovery -- Hybrid Computational Intelligence: Theory and Application in Bioinformatics, Computational Biology and Systems Biology -- IoT and Smart Data -- Intelligent Systems and Applications for Bioengineering -- Evolutionary Optimization: Foundations and Its Applications to Intelligent Data Analytics -- Protein and Gene Bioinformatics: Analysis, Algorithms and Applications. |
| Record Nr. | UNISA-996466280903316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
