Info
The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy [[electronic resource] ] : SPIoT-2020, Volume 1 / / edited by John MacIntyre, Jinghua Zhao, Xiaomeng Ma
| The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy [[electronic resource] ] : SPIoT-2020, Volume 1 / / edited by John MacIntyre, Jinghua Zhao, Xiaomeng Ma |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (XXXI, 884 p. 221 illus., 150 illus. in color.) |
| Disciplina | 620.00285 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Engineering—Data processing
Cooperating objects (Computer systems) Computational intelligence Machine learning Big data Data Engineering Cyber-Physical Systems Computational Intelligence Machine Learning Big Data |
| ISBN | 3-030-62743-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910483068103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy [[electronic resource] ] : SPIoT-2020, Volume 2 / / edited by John MacIntyre, Jinghua Zhao, Xiaomeng Ma
| The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy [[electronic resource] ] : SPIoT-2020, Volume 2 / / edited by John MacIntyre, Jinghua Zhao, Xiaomeng Ma |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (XXXII, 863 p. 222 illus., 128 illus. in color.) |
| Disciplina | 004.678 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Engineering—Data processing
Cooperating objects (Computer systems) Computational intelligence Machine learning Big data Data Engineering Cyber-Physical Systems Computational Intelligence Machine Learning Big Data |
| ISBN | 3-030-62746-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910483082303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Automatic control with interactive tools / / José Luis Guzmán, Ramon Costa-Castelló, Manuel Berenguel, Sebastián Dormido
| Automatic control with interactive tools / / José Luis Guzmán, Ramon Costa-Castelló, Manuel Berenguel, Sebastián Dormido |
| Autore | Guzmán José Luis |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer International Publishing, , [2023] |
| Descrizione fisica | 1 online resource (366 pages) |
| Disciplina |
050
629.8 |
| Soggetto topico |
Automatic control
System theory Control theory Computer science Engineering mathematics Engineering—Data processing Control and Systems Theory Systems Theory, Control Computer Science Mathematical and Computational Engineering Applications Control automàtic |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-031-09920-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Introduction -- 2. From Nonlinear Physical Models to Linear Models -- 3. Time Response -- 4. Frequency Response -- 5. Relationship Between Model Parameters with Physical Models -- 6. Closed-Loop Systems and Stability -- 7. Control Systems Design -- 8. Control of Physical Systems -- 9. Introduction to Control Systems Design in State Space. |
| Record Nr. | UNINA-9910734900803321 |
Guzmán José Luis
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| Cham, Switzerland : , : Springer International Publishing, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Behavior Engineering and Applications / / edited by Raymond Wong, Chi-Hung Chi, Patrick C. K. Hung
| Behavior Engineering and Applications / / edited by Raymond Wong, Chi-Hung Chi, Patrick C. K. Hung |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (VIII, 240 p. 108 illus., 87 illus. in color.) |
| Disciplina | 658.4038 |
| Collana | International Series on Computer, Entertainment and Media Technology |
| Soggetto topico |
Quantitative research
Artificial intelligence Engineering mathematics Engineering—Data processing Psychobiology Human behavior Social sciences—Data processing Data Analysis and Big Data Artificial Intelligence Mathematical and Computational Engineering Applications Behavioral Neuroscience Computer Application in Social and Behavioral Sciences |
| ISBN | 3-319-76430-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1 Benchmarking Swarm Rebalancing Algorithm for Relieving Imbalanced Machine Learning Problems -- 2 Performance Evaluation of Shadow Features as a Data Preprocessing Method in Data Mining for Human Activities Recognitions -- 3 Fast Plagiarism Detection Using Approximate String Matching and Vector Representation of Words -- 4 A Psychologically-realistic Personality Model for Virtual Agents -- 5 Investigating Path to Purchase for Online Impulse Buying: A Decision Net Approach -- 6 eHealth Consumer Behavior -- 7 Guiding usability newcomers to understand the Context of Use: towards models of Collaborative Heuristic Evaluation -- 8 Forecasting China Future MNP by Deep Learning -- 9 Gender differences in affective response toward pictorials: Affective warning pictorials on cigarette label -- 10 A Web-based System with Spatial Clustering to Observe the Changes of Emergency Distribution using Social Big Data. . |
| Record Nr. | UNINA-9910299355903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Big Data, Cloud Computing, and Data Science Engineering / / edited by Roger Lee
| Big Data, Cloud Computing, and Data Science Engineering / / edited by Roger Lee |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XIII, 214 p.) |
| Disciplina |
006.3
005.7 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Engineering—Data processing
Computational intelligence Big data Data Engineering Computational Intelligence Big Data |
| ISBN | 3-030-24405-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Robust Optimization Model for Designing Emerging Cloud-Fog Networks -- Multi-task Deep Reinforcement Learning with Evolutionary Algorithm and Policy Gradients Method in 3D Control Tasks -- Learning Neural Circuit by AC Operation and Frequency Signal Output -- IoTDoc: A Docker-Container based Architecture of IoT-enabled cloud system -- A Survival Analysis-Based Prioritization of Code CheckerWarning: A Case Study using PMD -- Elevator Monitoring System to Guide User’s Behavior by Visualizing the State 0f Crowdedness -- Choice Behavior Analysis of Internet Access Services Using Supervised Learning Models -- Norm-referenced Criteria for Strength of the Upper limbs for the Korean High School Baseball Players Using Computer Assisted Isokinetic Equipment -- A Feature Point Extraction and Comparison Method through Representative Frame Extraction and Distortion Correction for 360 Degree Realistic Contents -- Dimension Reduction by Word Clustering with Semantic Distance -- Word-Emotion Lexicon for Myanmar Language -- Release from the Curse of High Dimensional Data Analysis -- Evaluation of Inertial Sensor Configurations for Wearable Gait Analysis -- Index. |
| Record Nr. | UNINA-9910483862803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Bioinformatics and Biomedical Engineering [[electronic resource] ] : 10th International Work-Conference, IWBBIO 2023, Meloneras, Gran Canaria, Spain, July 12–14, 2023, Proceedings, Part I / / edited by Ignacio Rojas, Olga Valenzuela, Fernando Rojas Ruiz, Luis Javier Herrera, Francisco Ortuño
| Bioinformatics and Biomedical Engineering [[electronic resource] ] : 10th International Work-Conference, IWBBIO 2023, Meloneras, Gran Canaria, Spain, July 12–14, 2023, Proceedings, Part I / / edited by Ignacio Rojas, Olga Valenzuela, Fernando Rojas Ruiz, Luis Javier Herrera, Francisco Ortuño |
| Autore | Rojas Ignacio |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (588 pages) |
| Disciplina | 570.285 |
| Altri autori (Persone) |
ValenzuelaOlga
Rojas RuizFernando HerreraLuis Javier OrtuñoFrancisco |
| Collana | Lecture Notes in Bioinformatics |
| Soggetto topico |
Bioinformatics
Computer networks Engineering—Data processing Biomedical engineering Computational and Systems Biology Computer Communication Networks Data Engineering Biomedical Engineering and Bioengineering |
| ISBN | 3-031-34953-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Analysis of Molecular Dynamics Data in Proteomics -- Recognition of Conformational States of a G Protein-Coupled Receptor from Molecular Dynamic Simulations Using Sampling Techniques -- 1 Introduction -- 2 Materials and Methods -- 2.1 Class Imbalance Correction Methods -- 2.2 Experimental Setup -- 2.3 Evaluation Metrics for Imbalanced Data Problems -- 3 Results and Discussion -- 3.1 Interpretation Results -- 4 Conclusions -- References -- Identification of InhA-Inhibitors Interaction Fingerprints that Affect Residence Time -- 1 Introduction -- 1.1 Ligand-Receptor Binding Kinetics -- 1.2 Computer Methods to Determine Binding Kinetic Parameters -- 1.3 Research Objective -- 2 Mycobacterium Enoyl Acyl Carrier Protein Reductase (InhA) -- 3 Methods -- 4 Results -- 4.1 Ligand Similarity -- 4.2 Drug-Like Ligand Properties that Affect Residence Time -- 5 Discussion and Conclusions -- References -- Bioinformatics -- Validation of Height-for-Age and BMI-for-Age Z-scores Assessment Using Android-Based Mobile Apps -- 1 Introduction -- 2 Methods -- 2.1 Subjects -- 2.2 Anthropometric Measurements -- 2.3 Z-score Calculation -- 2.4 Statistical Analysis -- 3 Outcomes -- 4 Discussion -- 5 Conclusion -- 6 Limitations -- References -- An Algorithm for Pairwise DNA Sequences Alignment -- 1 Introduction -- 2 Related Work -- 3 An Algorithm for Pairwise DNA Sequences Alignment Based on the Proposed CAT Method -- 4 Experimental Results and Analysis -- 4.1 Implementation of the Proposed Method CAT for Sequences Alignment -- 4.2 Collision Analysis -- 4.3 Performance Analysis -- 5 Conclusion -- References -- Multiallelic Maximal Perfect Haplotype Blocks with Wildcards via PBWT -- 1 Introduction -- 2 Finding Maximal Blocks with Wildcards -- 3 The Algorithm.
3.1 Positional BWT Extended to Wildcards -- 3.2 Building the Extended PBWT -- 3.3 Computing the Maximal Blocks -- 4 Experimental Results -- 5 Conclusions -- References -- GPU Cloud Architectures for Bioinformatic Applications -- 1 Introduction -- 2 GPU Usage in Bioinformatics -- 3 Processing Outsourcing -- 4 GPU Virtualisation in Cloud Architectures -- 5 Architecture Characteristics -- 6 Experiments -- 7 Conclusions -- References -- Biomarker Identification -- Novel Gene Signature for Bladder Cancer Stage Identification -- 1 Introduction -- 2 Data Description -- 3 Metodology -- 3.1 Differential Expressed Genes Extraction and Visualization -- 3.2 Development of Classification Models -- 4 Results and Discussion -- 4.1 Gene Enrichment -- 5 Conclusions -- References -- Predicting Cancer Stage from Circulating microRNA: A Comparative Analysis of Machine Learning Algorithms -- 1 Introduction -- 2 Materials and Methods -- 2.1 Study Cohort -- 2.2 Algorithms -- 2.3 Evaluation Metrics -- 2.4 Experimental Design -- 2.5 Statistical Analysis -- 3 Results -- 4 Discussion -- 5 Conclusion -- 6 Ethical Statement -- 7 Appendix -- References -- Gait Asymmetry Evaluation Using FMCW Radar in Daily Life Environments -- 1 Introduction -- 2 Methodology -- 2.1 Gait Parameters Definition -- 2.2 FMCW Radar Signal Processing -- 2.3 Extraction of Radar-Based Gait Parameters -- 3 Experimental Setup and Equipment -- 4 Experimental Results -- 4.1 Raw Data Visualization -- 4.2 Gait Parameters Extraction Results -- 5 Conclusion and Further Work -- References -- Biomedical Computing -- Whole Tumor Area Estimation in Incremental Brain MRI Using Dilation and Erosion-Based Binary Morphing -- 1 Introduction -- 2 Morphing Methods -- 3 Experiments -- 4 Results -- 5 Conclusions and Discussions -- References. Three-Dimensional Representation and Visualization of High-Grade and Low-Grade Glioma by Nakagami Imaging -- 1 Introduction -- 2 Nakagami Imaging -- 3 Highlighting Experiments -- 3.1 High-Grade Glioma Experiment -- 3.2 Low-Grade Glioma Experiment -- 4 Results -- 5 Conclusions and Discussions -- References -- Speeding up Simulations for Radiotherapy Research by Means of Machine Learning -- 1 Introduction -- 2 Problem Description -- 2.1 PENELOPE Simulator -- 3 Methodology: Data Generation with PENELOPE and Modeling the Output by Means of Machine Learning Algorithms -- 3.1 Data Generation -- 3.2 Models Evaluated and Hyperparameter Tunning -- 3.3 Implementation Details and Model Deployment -- 4 Experiments and Results -- 4.1 Multi-Output Regression -- 4.2 Single Output Regression -- 5 Conclusions -- References -- A Meta-Graph for the Construction of an RNA-Centered Knowledge Graph -- 1 Introduction -- 2 KG Construction from Bio-Medical Data Sources -- 3 RNA Molecules -- 4 RNA-Based Data Sources -- 5 A Meta-Graph Representing RNA-Centered Relationships -- 6 Concluding Remarks -- References -- Structural Analysis of RNA-Binding Protein EWSR1 Involved in Ewing's Sarcoma Through Domain Assembly and Conformational Molecular Dynamics Studies -- 1 Introduction -- 2 Computational Methodology -- 2.1 Retrieval of Human EWSR1 Sequence and Alignment -- 2.2 EWSR1 Conserved Sequence Analysis -- 2.3 Structure Prediction of Human EWSR1 -- 2.4 Prediction of RNA Motifs Interacting with EWSR1 -- 2.5 Molecular Docking -- 2.6 Molecular Dynamics (MD) Simulations -- 3 Results -- 3.1 Structural Analysis of Predicted EWSR1 -- 3.2 Docking Energy Evaluation -- 3.3 Binding Pocket Conformational and Interaction Analysis -- 3.4 Root Mean Square Deviation Analysis -- 3.5 Radius of Gyration and Solvent Accessible Surface Area -- 4 Conclusion -- References. Pharmacoinformatic Analysis of Drug Leads for Alzheimer's Disease from FDA-Approved Dataset Through Drug Repositioning Studies -- 1 Introduction -- 2 Computational Methodology -- 2.1 Retrieval of MADD Sequence and Protein Modelling -- 2.2 Structure Analysis of MADD Protein -- 2.3 Virtual Screening of Chemical Scaffolds -- 2.4 Active Binding Site of MADD Protein and Docking -- 2.5 Designing of Pharmacogenomics Networks -- 2.6 Molecular Dynamics (MD) Simulations -- 3 Results and Discussion -- 3.1 Predicted Model of MADD Protein -- 3.2 VADAR and Galaxy Refine Analysis -- 3.3 Binding Pocket Analysis of MADD Protein -- 3.4 Shape Based Screening and PyRx Docking -- 3.5 Pharmacogenomics Analysis -- 4 Molecular Docking Using Autodock -- 4.1 Docking Energy Analysis Against Death Domain of MADD -- 4.2 Binding Interaction Profile -- 5 Molecular Dynamic Simulations -- 5.1 Root Mean Square Deviation and Rg Analysis -- 6 Conclusions -- References -- Biomedical Engineering -- Motion Control of a Robotic Lumbar Spine Model -- 1 Introduction -- 2 Related Work -- 3 Kinematics -- 4 Dynamic Model -- 5 PID Controller -- 6 Simulation and Results -- 7 Conclusions -- References -- Annotation-Free Identification of Potential Synteny Anchors -- 1 Background -- 2 Theory and Algorithmic Considerations -- 3 Results -- 3.1 Summary Statistics of Anchor Candidates -- 3.2 Evaluation of Anchor Candidates -- 3.3 Mapping of Anchors Candidates Across Genomes -- 3.4 Two Showcase Applications -- 3.5 Computational Effort -- 4 Discussion and Outlook -- A Genomes Used in this Contribution -- References -- Analysing Dose Parameters of Radiation Therapy Treatment Planning and Estimation of Their Influence on Secondary Cancer Risks -- 1 Introduction -- 2 Materials and Methods -- 2.1 Patient Selection -- 2.2 Treatment Planning -- 3 Results and Discussion -- 4 Conclusion -- References. A Platform for the Radiomic Analysis of Brain FDG PET Images: Detecting Alzheimer's Disease -- 1 Introduction -- 2 Methods -- 2.1 Participants and Data -- 2.2 PET Acquisition -- 2.3 ROI Extraction -- 2.4 Feature Extraction -- 2.5 Feature Selection -- 2.6 Classification and Tuning -- 2.7 Computational Hardware and Software -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Biomedical Signal Analysis -- Deep Learning for Automatic Electroencephalographic Signals Classification -- 1 Introduction -- 2 Methodology -- 2.1 Description of EEG Data -- 2.2 EEG Signal Preprocessing -- 2.3 Feature Extraction -- 2.4 Classification -- 3 Results and Discussions -- 3.1 Evaluation -- 4 Conclusions and Future Work -- References -- Evaluation of Homogeneity of Effervescent Tablets Containing Quercetin and Calcium Using X-ray Microtomography and Hyperspectral Analysis -- 1 Introduction -- 2 Materials and Methods -- 2.1 Tablets Selected for Analysis -- 2.2 Evaluation of the Tablets -- 2.3 Hyperspectral Imaging -- 2.4 X-ray Microtomography -- 2.5 Statistical Analysis -- 3 Results -- 3.1 Characteristics of the Tablets -- 3.2 The Analysis of Tablets' Homogeneity Using Hyperspectral Imaging -- 3.3 The Analysis of Inner Homogeneity Using X-ray Microtomography -- 4 Discussion -- 5 Conclusion -- References -- The Effect of Biofeedback on Learning the Wheelie Position on Manual Wheelchair -- 1 Introduction -- 2 Material and Methods -- 2.1 Subjects and Study Design -- 2.2 Materials -- 2.3 Methods -- 2.4 Statistical Analysis -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Preliminary Study on the Identification of Diseases by Electrocardiography Sensors' Data -- 1 Introduction -- 2 Methods -- 2.1 Study Design and Participants -- 2.2 Feature Extraction -- 2.3 Data Classification -- 3 Results -- 4 Discussion and Conclusions -- References. Computational Proteomics. |
| Record Nr. | UNISA-996538665103316 |
|
Rojas Ignacio
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Bioinformatics and Biomedical Engineering [[electronic resource] ] : 10th International Work-Conference, IWBBIO 2023, Meloneras, Gran Canaria, Spain, July 12–14, 2023, Proceedings, Part II / / edited by Ignacio Rojas, Olga Valenzuela, Fernando Rojas Ruiz, Luis Javier Herrera, Francisco Ortuño
| Bioinformatics and Biomedical Engineering [[electronic resource] ] : 10th International Work-Conference, IWBBIO 2023, Meloneras, Gran Canaria, Spain, July 12–14, 2023, Proceedings, Part II / / edited by Ignacio Rojas, Olga Valenzuela, Fernando Rojas Ruiz, Luis Javier Herrera, Francisco Ortuño |
| Autore | Rojas Ignacio |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (520 pages) |
| Disciplina | 570.285 |
| Altri autori (Persone) |
ValenzuelaOlga
Rojas RuizFernando HerreraLuis Javier OrtuñoFrancisco |
| Collana | Lecture Notes in Bioinformatics |
| Soggetto topico |
Bioinformatics
Biomedical engineering Computer networks Engineering—Data processing Computational and Systems Biology Biomedical Engineering and Bioengineering Computer Communication Networks Data Engineering |
| ISBN | 3-031-34960-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Feature Selection, Extraction, and Data Mining in Bioinformatics -- Agent Based Modeling of Fish Shoal Behavior -- 1 Introduction -- 2 Modeling -- 3 Methods -- 3.1 Multi agents Based Modeling and Simulation -- 4 Results and Discussion -- References -- Entropy Approach of Processing for Fish Acoustic Telemetry Data to Detect Atypical Behavior During Welfare Evaluation -- 1 Introduction -- 1.1 Biotelemetry -- 1.2 Fish Welfare -- 2 Dataset -- 3 Methods -- 4 Results -- 5 Conclusion -- References -- Determining HPV Status in Patients with Oropharyngeal Cancer from 3D CT Images Using Radiomics: Effect of Sampling Methods -- 1 Introduction -- 2 Material and Methods -- 2.1 Data Set -- 2.2 Image Pre-processing -- 2.3 Feature Extraction -- 2.4 Data Pre-processing and Resampling -- 2.5 Feature Selection -- 2.6 Model Training and Evaluation -- 3 Results -- 3.1 Data Pre-processing and Resampling -- 3.2 Feature Extraction -- 3.3 Feature Selection -- 3.4 Performance Evaluation -- 4 Discussion -- 5 Conclusion -- References -- MetaLLM: Residue-Wise Metal Ion Prediction Using Deep Transformer Model -- 1 Introduction -- 2 Methodology -- 2.1 MetaLLM: Residue-Wise Metal Ion Prediction -- 3 Experiments and Results -- 3.1 Experimental Details -- 3.2 Result Analysis -- 4 Conclusion -- References -- Genome-Phenome Analysis -- Prediction of Functional Effects of Protein Amino Acid Mutations -- 1 Introduction -- 2 Methods -- 2.1 nsSNV Datasets -- 2.2 Protein Mutation Prediction Methodology: The Holdout- nsSNV Algorithm -- 2.3 Consensus Holdout Training and Selection -- 2.4 Extreme Learning Machine -- 2.5 Random Forests -- 3 Results -- 4 Conclusions and Future Directions -- References -- Optimizing Variant Calling for Human Genome Analysis: A Comprehensive Pipeline Approach -- 1 Introduction.
2 Background -- 3 Methods -- 3.1 Reference -- 3.2 Dataset -- 3.3 Quality and Control -- 3.4 Pipeline -- 3.5 Workflow Management and Reproducibility -- 3.6 Benchmarking -- 3.7 Computational Resources -- 4 Results -- 4.1 Different Methods Performance -- 4.2 Computational Time -- 5 Discussion -- 6 Conclusion -- References -- Healthcare and Diseases -- Improving Fetal Health Monitoring: A Review of the Latest Developments and Future Directions -- 1 Introduction -- 2 Methods -- 2.1 Study Design -- 2.2 Search Strategy -- 2.3 Inclusion Criteria -- 2.4 Selection of Studies -- 2.5 Data Analysis -- 3 Result -- 4 Discussion -- 4.1 The Development of Monitoring Devices for Fetal Well-Being -- 4.2 Algorithm for More Accurate Maternal-Fetal FHR Filtering -- 4.3 Fetal Well-Being Indicators -- 4.4 Target Users -- 5 Conclusion -- References -- Deep Learning for Parkinson's Disease Severity Stage Prediction Using a New Dataset -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Data Acquisition -- 3.2 Dataset Construction -- 3.3 Data Pre-processing -- 3.4 Proposed LSTM Model -- 4 Experiments -- 5 Conclusion -- References -- Improved Long-Term Forecasting of Emergency Department Arrivals with LSTM-Based Networks -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data Acquisition -- 2.2 Exploration -- 2.3 Analysis Techniques -- 3 Results -- 4 Conclusion -- References -- High-Throughput Genomics: Bioinformatic Tools and Medical Applications -- Targeted Next Generation Sequencing of a Custom Capture Panel to Target Sequence 112 Cancer Related Genes in Breast Cancer Tumors ERBB2 Positive from Lleida (Spain) -- 1 Introduction -- 2 Methods -- 2.1 Breast Cancer Samples -- 2.2 Targeted Sequencing -- 2.3 Data Analysis -- 3 Results -- 3.1 Targeted Sequencing -- 3.2 Gene Signatures -- 4 Discussion -- References. An Accurate Algorithm for Identifying Mutually Exclusive Patterns on Multiple Sets of Genomic Mutations -- 1 Introduction -- 2 Method -- 2.1 Similarity and Mutual Exclusion Measure -- 2.2 Weighted Probability Search -- 2.3 Algorithm Steps -- 3 Discussion -- 3.1 ME Simulation Principle and Evaluation of Result -- 3.2 The Result and Analysis of ME Simulation Experiment -- 3.3 Ms Simulation Data -- 3.4 Real Datasets -- 4 Comparative Experiments and Results -- 5 Conclusion -- References -- A 20-Year Journey of Tracing the Development of Web Catalogues for Rare Diseases -- 1 Introduction -- 2 Related Work -- 3 Methods -- 3.1 Implementation -- 3.2 Relationship Between Data Sources -- 3.3 Semantic Structure -- 3.4 Data Readers -- 4 Results -- 5 Discussion -- 6 Conclusions -- References -- Unsupervised Investigation of Information Captured in Pathway Activity Score in scRNA-Seq Analysis -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data Acquisition and Pre-processing -- 2.2 Tested Pathway Activity Transformation Algorithms -- 2.3 Algorithm's Evaluation -- 3 Results -- 3.1 Cell Type Separation -- 3.2 Clustering Accuracy -- 3.3 Biological Validation -- 4 Conclusions -- References -- Meta-analysis of Gene Activity (MAGA) Contributions and Correlation with Gene Expression, Through GAGAM -- 1 Introduction -- 2 Background -- 2.1 Single-Cell Sequencing Technologies -- 2.2 GAGAM -- 3 Meta-analysis -- 3.1 Peaks Information -- 3.2 Activity-Expression Correlation -- 3.3 Activity-Expression Coherence -- 3.4 Conclusions -- References -- Predicting Papillary Renal Cell Carcinoma Prognosis Using Integrative Analysis of Histopathological Images and Genomic Data -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset Overview -- 2.2 Histopathological Image Processing -- 2.3 Gene Coexpression Analysis -- 2.4 Risk Categorization -- 2.5 Prognosis Prediction Model. 3 Results -- 3.1 Patient Characteristics -- 3.2 Prognosis-related Image Features and Co-expression Gene Module Selection -- 3.3 Enrichment Analysis of the Key Gene Modules -- 3.4 Construction and Evaluation of the Integrative Prognostic Model -- 4 Discussion and Conclusion -- References -- Image Visualization and Signal Analysis -- Medical X-ray Image Classification Method Based on Convolutional Neural Networks -- 1 Introduction -- 2 Image Classification Optimization -- 3 Segmentaion of X-ray Image -- 3.1 Conventional Diagnostics and Segmentation Data -- 3.2 Creating and Training a Segmenting Convolutional Network -- 4 Image Reduction and Neural Network Training -- 4.1 Generating of Segmented Images -- 4.2 Active Regions Computation -- 4.3 Analysis of the Segmented Image -- 4.4 Image Reduction -- 4.5 Training of a Classifying Convolutional Neural Network -- 5 Experimental Results and Discussion -- 6 Conclusion -- References -- Digital Breast Tomosynthesis Reconstruction Techniques in Healthcare Systems: A Review -- 1 Introduction -- 2 Tomosynthesis Technology for Breast Imaging -- 2.1 The Advantages of Tomosynthesis Compared to 2D Mammography -- 3 Methods of Reconstruction Phase -- 3.1 The Importance of the Reconstruction Phase in CAD Systems -- 3.2 Back-Projection Algorithms -- 3.3 Transform Algorithms -- 3.4 Algebraic Reconstruction Techniques -- 3.5 Statistical Reconstruction Techniques -- 4 Analysis and Discussions -- 5 Conclusion and Future Works -- References -- BCAnalyzer: A Semi-automated Tool for the Rapid Quantification of Cell Monolayer from Microscopic Images in Scratch Assay -- 1 Introduction -- 2 Materials and Methods -- 2.1 Sample Images Used for the Algorithm Demonstration -- 2.2 Image Set for a Systematic Algorithm Performance Validation -- 3 Software Implementation -- 4 Results and Discussion. 4.1 Prominent Examples of Cell Scratch Assay Analysis for Different Cell Lines -- 4.2 Systematic Algorithm Validation Using Previously Reported Reference Image Sets -- 5 Conclusion -- References -- Color Hippocampus Image Segmentation Using Quantum Inspired Firefly Algorithm and Merging of Channel-Wise Optimums -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Method -- 4 Experimental Setup -- 5 Result and Analysis -- 6 Conclusion -- References -- Breast Cancer Histologic Grade Identification by Graph Neural Network Embeddings -- 1 Introduction -- 2 Related Works -- 3 Materials and Methods -- 3.1 The Used Datasets -- 3.2 Graph Neural Networks -- 3.3 Graph Construction -- 3.4 Experimental Setup -- 4 Results -- 5 Ablation Study -- 6 Conclusions -- References -- A Pilot Study of Neuroaesthetics Based on the Analysis of Electroencephalographic Connectivity Networks in the Visualization of Different Dance Choreography Styles -- 1 Introduction -- 2 Methods of Data Recording and Analysis -- 2.1 Experimental Paradigm -- 2.2 Processing and Analysis Methods -- 3 Results -- 4 Discussion -- 5 Conclusions -- References -- Machine Learning in Bioinformatics and Biomedicine -- Ethical Dilemmas, Mental Health, Artificial Intelligence, and LLM-Based Chatbots -- 1 Introduction -- 2 Methodology -- 3 Data Extraction and Analysis Procedure -- 4 Results -- 5 Ethical Analysis -- 6 Conclusions -- 7 LLM Chatbots, Quality of Care, Responsible Research, and Development in Mental Health -- 8 Access, Exclusion, and User Dependence on Chatbots -- 9 Responsibility and Human Supervision of Chatbots -- 10 Regulation and Chatbot Usage Policies -- 11 Limitations of the Present Review -- References -- Cyclical Learning Rates (CLR'S) for Improving Training Accuracies and Lowering Computational Cost -- 1 Introduction -- 2 Experimental Results and Analysis. 2.1 Data Collection, Preprocessing, Model Architecture, and Learning Rates. |
| Record Nr. | UNISA-996538664803316 |
|
Rojas Ignacio
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Cloud and Serverless Computing for Scientists [[electronic resource] ] : A Primer / / by Juan A. Añel, Diego P. Montes, Javier Rodeiro Iglesias
| Cloud and Serverless Computing for Scientists [[electronic resource] ] : A Primer / / by Juan A. Añel, Diego P. Montes, Javier Rodeiro Iglesias |
| Autore | Añel Juan A |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XVI, 85 p. 18 illus., 5 illus. in color.) |
| Disciplina | 004.6782 |
| Soggetto topico |
Client/server computing
Engineering—Data processing Application software Management information systems Servers Data Engineering Computer Applications Business IT Infrastructure |
| ISBN | 3-030-41784-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter1. Why This Book? -- Chapter2. Why the Cloud? -- Chapter3. From the beginning to the future -- Chapter4. Show me the money -- Chapter5. Tools in the Cloud -- Chapter6. Experiments in the Cloud -- Chapter7. Serverless Experiments in the Cloud -- Chapter8. Ethical and Legal Considerations of Cloud Computing -- Chapter9. You Are Outdated, We Are Already Updating this Book. |
| Record Nr. | UNISA-996465457203316 |
|
Añel Juan A
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Computational Methods in Engineering / / by S. P. Venkateshan, Prasanna Swaminathan
| Computational Methods in Engineering / / by S. P. Venkateshan, Prasanna Swaminathan |
| Autore | Venkateshan S. P. |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (824 pages) |
| Disciplina | 620.001518 |
| Soggetto topico |
Engineering mathematics
Mechanics, Applied Engineering—Data processing Solids Mechanical engineering Engineering Mathematics Engineering Mechanics Mathematical and Computational Engineering Applications Solid Mechanics Mechanical Engineering Matemàtica per a enginyers Processament de dades |
| Soggetto genere / forma | Llibres electrònics |
| Soggetto non controllato |
Engineering
Technology & Engineering |
| ISBN | 3-031-08226-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Solution of linear equations -- Computation of eigenvalues -- Solution of algebraic equations -- Interpolation. |
| Record Nr. | UNINA-9910728945403321 |
|
Venkateshan S. P.
|
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computer Aided Writing / / by André Klahold, Madjid Fathi
| Computer Aided Writing / / by André Klahold, Madjid Fathi |
| Autore | Klahold André |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (178 pages) : illustrations |
| Disciplina |
005
005.52 |
| Soggetto topico |
Engineering—Data processing
Computational intelligence Data mining Natural language processing (Computer science) Robotics Automation Data Engineering Computational Intelligence Data Mining and Knowledge Discovery Natural Language Processing (NLP) Robotics and Automation |
| ISBN | 3-030-27439-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Writing and Writing Tools -- A Model of the Writing Process -- Word processing as writing support -- Journalism as a Professional Form of Writing -- Research as an elementary component -- Content Management -- Knowledge Discovery from Text (KDT) -- Recommender Systems -- Future Developments and Forecasts -- Automatic Text Generation -- Index of Figures -- Bibliography. |
| Record Nr. | UNINA-9910483740203321 |
|
Klahold André
|
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
