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Advances in Computer Science and Ubiquitous Computing : Proceedings of CUTE/CSA 2023 / / edited by Ji Su Park, Laurence T. Yang, Yi Pan, James J. Park
Advances in Computer Science and Ubiquitous Computing : Proceedings of CUTE/CSA 2023 / / edited by Ji Su Park, Laurence T. Yang, Yi Pan, James J. Park
Autore Park Ji Su
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (493 pages)
Disciplina 004
Altri autori (Persone) YangLaurence T
PanYi
ParkJames J
Collana Lecture Notes in Electrical Engineering
Soggetto topico Telecommunication
Computational intelligence
Computer networks
Communications Engineering, Networks
Computational Intelligence
Computer Communication Networks
ISBN 981-9724-47-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910890179203321
Park Ji Su  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in Computer Science and Ubiquitous Computing : Proceedings of CUTE-CSA 2022 / / edited by Ji Su Park, Laurence T. Yang, Yi Pan, Jong Hyuk Park
Advances in Computer Science and Ubiquitous Computing : Proceedings of CUTE-CSA 2022 / / edited by Ji Su Park, Laurence T. Yang, Yi Pan, Jong Hyuk Park
Autore Park Ji Su
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (766 pages)
Disciplina 004
Altri autori (Persone) YangLaurence T
PanYi
ParkJong Hyuk
Collana Lecture Notes in Electrical Engineering
Soggetto topico Telecommunication
Computational intelligence
Computer networks
Communications Engineering, Networks
Computational Intelligence
Computer Communication Networks
Soggetto non controllato Engineering
Telecommunication
Technology & Engineering
ISBN 981-9912-52-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Random Forest in Federated Learning Setting -- TL-SMOTE: Re-balancing data in Federated Learning for Anomaly detection -- Gaussian Pseudospectral Optimization Driven Neural Network Planning of Obstacle Avoidance Trajectory -- Research on synchronous control method of dual motor based on ADRC speed compensation -- MDagg: A new Aggregation Method using Mahalanobis Distance -- Graphormer-NAS: Graph Transformer For Neural Architecture Search.
Record Nr. UNINA-9910728937303321
Park Ji Su  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in Computer Science and Ubiquitous Computing : CSA-CUTE 2018 / / edited by James J. Park, Doo-Soon Park, Young-Sik Jeong, Yi Pan
Advances in Computer Science and Ubiquitous Computing : CSA-CUTE 2018 / / edited by James J. Park, Doo-Soon Park, Young-Sik Jeong, Yi Pan
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XXXI, 636 p. 356 illus., 225 illus. in color.)
Disciplina 621.382
Collana Lecture Notes in Electrical Engineering
Soggetto topico Electrical engineering
Computational intelligence
Computer communication systems
Communications Engineering, Networks
Computational Intelligence
Computer Communication Networks
ISBN 981-13-9341-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto CUTE2018 -- Track 1. Ubiquitous Communication and Networking -- Track 2. Ubiquitous Software Technology -- Track 3. Ubiquitous Systems and Applications -- Track 4. Ubiquitous Security, Privacy and Trust -- CSA2018 -- Track 1. Mobile and ubiquitous computing -- Track 2. Dependable, reliable and autonomic computing -- Track 3. Security and trust management -- Track 4. Multimedia systems and services -- Track 5. Networking and communications -- Track 6. Database and data mining -- Track 7. Game and software engineering -- Track 8. Grid and scalable computing -- Track 9. Embedded system and software -- Track 10. Artificial intelligence -- Track 11. Distributed and parallel algorithms -- Track 12. Web and internet computing -- Track 13. IT policy and business management.
Record Nr. UNINA-9910366616803321
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in Computer Science and Ubiquitous Computing : CSA-CUTE2016 / / edited by James J. (Jong Hyuk) Park, Yi Pan, Gangman Yi, Vincenzo Loia
Advances in Computer Science and Ubiquitous Computing : CSA-CUTE2016 / / edited by James J. (Jong Hyuk) Park, Yi Pan, Gangman Yi, Vincenzo Loia
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XXXVI, 1113 p. 527 illus.)
Disciplina 620
Collana Lecture Notes in Electrical Engineering
Soggetto topico Electrical engineering
Computational intelligence
Computer communication systems
Communications Engineering, Networks
Computational Intelligence
Computer Communication Networks
ISBN 981-10-3023-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto CUTE2016 -- 1 Ubiquitous Communication and Networking -- 2 Ubiquitous Software Technology -- 3 Ubiquitous Systems and Applications -- 4 Ubiquitous Security, Privacy and Trust -- CSA2016 -- 1 Mobile and ubiquitous computing -- 2 Dependable, reliable and autonomic computing -- 3 Security and trust management -- 4 Multimedia systems and services -- 5 Networking and communications -- 6 Database and data mining -- 7 Game and software engineering -- 8 Grid and scalable computing -- 9 Embedded system and software -- 10 Artificial intelligence -- 11 Distributed and parallel algorithms -- 12 Web and internet computing -- 13 IT policy and business management. .
Record Nr. UNINA-9910157586403321
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Aging Welfare and Social Policy : China and the Nordic Countries in Comparative Perspective / / edited by Tian-kui Jing, Stein Kuhnle, Yi Pan, Sheying Chen
Aging Welfare and Social Policy : China and the Nordic Countries in Comparative Perspective / / edited by Tian-kui Jing, Stein Kuhnle, Yi Pan, Sheying Chen
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (246 pages)
Disciplina 361.61
Collana International Perspectives on Aging
Soggetto topico Social groups
Family
Health psychology
Aging
Demography
Sociology of Family, Youth and Aging
Health Psychology
ISBN 3-030-10895-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1: Welfare States with Nordic Characteristics -- Chapter 2: Building a Welfare System with Chinese Characteristics: From a Residual Type to Moderate Universalism -- Chapter 3: Evolution and Construction of China’s Social Protection System: A Discussion from the Perspective of Shared Development -- Chapter 4: “Aging in Community”: Historical and Comparative Study of Aging Welfare and Social Policy -- Chapter 5: Sweden: Ageing Welfare, and Social Policy in the 21st Century -- Chapter 6: Looking for the Easy Way Out: Demographic Panic and the Twists and Turns of Long-term Care Policy in Finland -- Chapter 7: Policy Responses to Ageing: Care Services for the Elderly in Norway -- Chapter 8: Is Finland Connected for e-Health and e-Welfare? -- Chapter 9: Social Construction, System Defect and System Quality of Welfare Policy and Regulation Framework for the Elderly of China -- Chapter 10: Social Organisations and Old Age Services in Urban Communities in China: Stabilising Networks? -- Chapter 11: Social Services for the Elderly Community Based in Urban-Rural China: Investigations in Three Provinces -- Chapter 12: 13. Appendix: China’s Elderly Care Policy and Its Future Trends.
Record Nr. UNINA-9910337734603321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Artificial Intelligence and Machine Learning : First International Artificial Intelligence Conference, IAIC 2023, Nanjing, China, November 25–27, 2023, Revised Selected Papers, Part I / / edited by Hai Jin, Yi Pan, Jianfeng Lu
Artificial Intelligence and Machine Learning : First International Artificial Intelligence Conference, IAIC 2023, Nanjing, China, November 25–27, 2023, Revised Selected Papers, Part I / / edited by Hai Jin, Yi Pan, Jianfeng Lu
Autore Jin Hai
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (508 pages)
Disciplina 006.3
Altri autori (Persone) PanYi
LuJianFeng
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Application software
Computer networks
Machine learning
Artificial Intelligence
Computer and Information Systems Applications
Computer Communication Networks
Machine Learning
ISBN 981-9712-77-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Artificial Intelligence and Machine Learning -- Data Science and Information Security -- Computer Networks and IoT -- FedTag: Towards Automated Attack Investigation Using Federated Learning.-Deep Learning Based SQL Injection Attack Detection -- M-GFCC: Audio Copy-Move Forgery Detection Algorithm Based on Fused Features of MFCC and GFCC -- A Survey of Homogeneous and Heterogeneous Multi-source Information Fusion Based on Rough Set -- Data Science and Information Security -- Prudent Promotion, Steady Development: Capability and Safety Considerations for Applying Large Language Models in Medicine -- Blockchain-enhanced Device to Device Network Identity Verification Based on Zero Knowledge Proof -- A Privacy-preserving Searchable Encryption Scheme for Data Protection in Smart Grid -- Data-driven Distributed Autonomous Architecture for 6G Networks -- Decoupled Knowledge Distillation in Data-free Federated Learning -- An Improved SSD Seal Detection Algorithm Based on Channel-Spatial Attention -- A Multiple Fire Zones Detection Method for UAVs Based on Improved Ant Colony Algorithm -- Research on the Regulation and Network Security of Smart Tourism Public Information Service Platform -- A Study Based on Logistic Regression Algorithm to Teaching Indicators -- A Spellcheck Technique for Tibetan Syllables Based on Grammatical Vector Multiplication -- Fine-grained Image Classification Network Based on Complementary Learning -- An overview of Graph Data Missing Value Imputation -- Speech Emotion Recognition Method Based on Cross-Layer Intersectant Fusion -- Clothed Human Model Estimation from Unseen Partial Point Clouds with Meta-learning -- LCA-BERT: A Local and Context Fusion Sentiment Analysis Model Based on BERT. .
Record Nr. UNINA-9910847071603321
Jin Hai  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Bioinformatics Research and Applications [[electronic resource] ] : 10th International Symposium, ISBRA 2014, Zhangjiajie, China, June 28-30, 2014, Proceedings / / edited by Mitra Basu, Yi Pan, Jianxin Wang
Bioinformatics Research and Applications [[electronic resource] ] : 10th International Symposium, ISBRA 2014, Zhangjiajie, China, June 28-30, 2014, Proceedings / / edited by Mitra Basu, Yi Pan, Jianxin Wang
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Descrizione fisica 1 online resource (XVIII, 409 p. 115 illus.)
Disciplina 570.285
Collana Lecture Notes in Bioinformatics
Soggetto topico Bioinformatics
Data mining
Pattern recognition
Biomathematics
Computational Biology/Bioinformatics
Data Mining and Knowledge Discovery
Pattern Recognition
Mathematical and Computational Biology
Soggetto genere / forma Conference papers and proceedings.
ISBN 3-319-08171-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Predicting Disease Risks Using Feature Selection Based on Random Forest and Support Vector Machine -- Phylogenetic Bias in the Likelihood Method Caused by Missing Data Coupled with Among-Site Rate Variation: An Analytical Approach -- An Eigen decomposition Method for Protein Structure Alignment -- Functional Interplay between Hemagglutinin and Neuraminidase of Pandemic 2009 H1N1 from the Perspective of Virus Evolution -- Predicting Protein Submitochondrial Locations Using a K-Nearest Neighbors Method Based on the Bit-Score Weighted Euclidean Distance -- Algorithms Implemented for Cancer Gene Searching and Classifications -- Dysregulated microRNA Profile in HeLa Cell Lines Induced by Lupeol -- A Simulation for Proportional Biological Operational Mu-Circuit -- Computational Prediction of Human Saliva-Secreted Proteins -- A Parallel Scheme for Three-Dimensional Reconstruction in Large-Field Electron Tomography -- An Improved Correlation Method Based on Rotation Invariant Feature for Automatic Particle Selection -- An Effective Algorithm for Peptide de novo Sequencing from Mixture MS/MS Spectra -- Identifying Spurious Interactions in the Protein-Protein Interaction Networks Using Local Similarity Preserving Embedding -- Multiple RNA Interaction with Sub-optimal Solutions -- Application of Consensus String Matching in the Diagnosis of Allelic Heterogeneity (Extended Abstract) -- Continuous Time Bayesian Networks for Gene Network Reconstruction: A Comparative Study on Time Course Data -- Drug Target Identification Based on Structural Output Controllability of Complex Networks -- NovoGMET: De Novo Peptide Sequencing Using Graphs with Multiple Edge Types (GMET) for ETD/ECD Spectra -- Duplication Cost Diameters -- Computational Identification of De-Centric Genetic Regulatory Relationships from Functional Genomic Data -- Classification of Mutations by Functional Impact Type: Gain of Function, Loss of Function and Switch of Function -- Network Analysis of Human Disease Comorbidity Patterns Based on Large-Scale Data Mining -- Identification of Essential Proteins by Using Complexes and Interaction Network -- GenoScan: Genomic Scanner for Putative miRNA Precursors -- Searching SNP Combinations Related to Evolutionary Information of Human Populations on HapMap Data -- 2D Pharmacophore Query Generation -- Structure-Based Analysis of Protein Binding Pockets Using Von Neumann Entropy -- A New Mathematical Model for Inbreeding Depression in Large Populations -- dSpliceType: A Multivariate Model for Detecting Various Types of Differential Splicing Events Using RNA-Seq -- Conformational Transitions and Principal Geodesic Analysis on the Positive Semidefinite Matrix Manifold -- Joint Analysis of Functional and Phylogenetic Composition for Human Microbiome Data -- schematikon: Detailed Sequence-Structure Relationships from Mining a Non-redundant Protein Structure Database (Extended Abstract) -- PNImodeler: Web Server for Inferring Protein Binding Nucleotides from Sequence Data -- A MCI Decision Support System Based on Ontology -- Context Similarity Based Feature Selection Methods for Protein Interaction Article Classification -- Network Propagation Reveals Novel Genetic Features Predicting Drug Response of Cancer Cell Lines -- Splice Site Prediction Using Support Vector Machine with Markov Model and Codon Information -- Exploiting Topic Modeling to Boost Metagenomic Sequences Binning -- Network-Based Method for Identifying Overlapping Mutated Driver Pathways in Cancer -- Completing a Bacterial Genome with in silico and Wet Lab Approaches -- Protein Function Prediction: A Global Prediction Method with Multiple Data Sources -- A microRNA-Gene Network in Ovarian Cancer from Genome-Wide QTL Analysis -- K-Profiles Nonlinear Clustering -- Estrogen Induced RNA Polymerase II Stalling in Breast Cancer Cell Line MCF7 -- A Knowledge-Driven Approach in Constructing a Large-Scale Drug-Side Effect Relationship Knowledge Base for Computational Drug Discovery -- Systems Biology Approach to Understand Seed Composition -- Prediction of the Cooperative cis-regulatory Elements for Broadly Expressed Neuronal Genes in Caenorhabditis Elegans -- Improving the Mapping of the Smith-Waterman Sequence Database Search Algorithm onto CUDA GPUs -- VFP: A Visual Tool for Predicting Gene-Fusion Base on Analyzing Single-end RNA-Sequence -- A Novel Method for Identifying Essential Proteins from Active PPI Networks -- RAUR: Re-alignment of Unmapped Reads with Base Quality Score -- PIGS: Improved Estimates of Identity-by-Descent Probabilities by Probabilistic IBD Graph Sampling -- Clustering PPI Data through Improved Synchronization-Based Hierarchical Clustering Method -- Order Decay in Transcription Regulation in Type 1 Diabetes -- Simulated Regression Algorithm for Transcriptome Quantification.
Record Nr. UNISA-996199994503316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Bioinformatics Research and Applications : 10th International Symposium, ISBRA 2014, Zhangjiajie, China, June 28-30, 2014, Proceedings / / edited by Mitra Basu, Yi Pan, Jianxin Wang
Bioinformatics Research and Applications : 10th International Symposium, ISBRA 2014, Zhangjiajie, China, June 28-30, 2014, Proceedings / / edited by Mitra Basu, Yi Pan, Jianxin Wang
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Descrizione fisica 1 online resource (XVIII, 409 p. 115 illus.)
Disciplina 570.285
Collana Lecture Notes in Bioinformatics
Soggetto topico Bioinformatics
Data mining
Pattern recognition
Biomathematics
Computational Biology/Bioinformatics
Data Mining and Knowledge Discovery
Pattern Recognition
Mathematical and Computational Biology
Soggetto genere / forma Conference papers and proceedings.
ISBN 3-319-08171-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Predicting Disease Risks Using Feature Selection Based on Random Forest and Support Vector Machine -- Phylogenetic Bias in the Likelihood Method Caused by Missing Data Coupled with Among-Site Rate Variation: An Analytical Approach -- An Eigen decomposition Method for Protein Structure Alignment -- Functional Interplay between Hemagglutinin and Neuraminidase of Pandemic 2009 H1N1 from the Perspective of Virus Evolution -- Predicting Protein Submitochondrial Locations Using a K-Nearest Neighbors Method Based on the Bit-Score Weighted Euclidean Distance -- Algorithms Implemented for Cancer Gene Searching and Classifications -- Dysregulated microRNA Profile in HeLa Cell Lines Induced by Lupeol -- A Simulation for Proportional Biological Operational Mu-Circuit -- Computational Prediction of Human Saliva-Secreted Proteins -- A Parallel Scheme for Three-Dimensional Reconstruction in Large-Field Electron Tomography -- An Improved Correlation Method Based on Rotation Invariant Feature for Automatic Particle Selection -- An Effective Algorithm for Peptide de novo Sequencing from Mixture MS/MS Spectra -- Identifying Spurious Interactions in the Protein-Protein Interaction Networks Using Local Similarity Preserving Embedding -- Multiple RNA Interaction with Sub-optimal Solutions -- Application of Consensus String Matching in the Diagnosis of Allelic Heterogeneity (Extended Abstract) -- Continuous Time Bayesian Networks for Gene Network Reconstruction: A Comparative Study on Time Course Data -- Drug Target Identification Based on Structural Output Controllability of Complex Networks -- NovoGMET: De Novo Peptide Sequencing Using Graphs with Multiple Edge Types (GMET) for ETD/ECD Spectra -- Duplication Cost Diameters -- Computational Identification of De-Centric Genetic Regulatory Relationships from Functional Genomic Data -- Classification of Mutations by Functional Impact Type: Gain of Function, Loss of Function and Switch of Function -- Network Analysis of Human Disease Comorbidity Patterns Based on Large-Scale Data Mining -- Identification of Essential Proteins by Using Complexes and Interaction Network -- GenoScan: Genomic Scanner for Putative miRNA Precursors -- Searching SNP Combinations Related to Evolutionary Information of Human Populations on HapMap Data -- 2D Pharmacophore Query Generation -- Structure-Based Analysis of Protein Binding Pockets Using Von Neumann Entropy -- A New Mathematical Model for Inbreeding Depression in Large Populations -- dSpliceType: A Multivariate Model for Detecting Various Types of Differential Splicing Events Using RNA-Seq -- Conformational Transitions and Principal Geodesic Analysis on the Positive Semidefinite Matrix Manifold -- Joint Analysis of Functional and Phylogenetic Composition for Human Microbiome Data -- schematikon: Detailed Sequence-Structure Relationships from Mining a Non-redundant Protein Structure Database (Extended Abstract) -- PNImodeler: Web Server for Inferring Protein Binding Nucleotides from Sequence Data -- A MCI Decision Support System Based on Ontology -- Context Similarity Based Feature Selection Methods for Protein Interaction Article Classification -- Network Propagation Reveals Novel Genetic Features Predicting Drug Response of Cancer Cell Lines -- Splice Site Prediction Using Support Vector Machine with Markov Model and Codon Information -- Exploiting Topic Modeling to Boost Metagenomic Sequences Binning -- Network-Based Method for Identifying Overlapping Mutated Driver Pathways in Cancer -- Completing a Bacterial Genome with in silico and Wet Lab Approaches -- Protein Function Prediction: A Global Prediction Method with Multiple Data Sources -- A microRNA-Gene Network in Ovarian Cancer from Genome-Wide QTL Analysis -- K-Profiles Nonlinear Clustering -- Estrogen Induced RNA Polymerase II Stalling in Breast Cancer Cell Line MCF7 -- A Knowledge-Driven Approach in Constructing a Large-Scale Drug-Side Effect Relationship Knowledge Base for Computational Drug Discovery -- Systems Biology Approach to Understand Seed Composition -- Prediction of the Cooperative cis-regulatory Elements for Broadly Expressed Neuronal Genes in Caenorhabditis Elegans -- Improving the Mapping of the Smith-Waterman Sequence Database Search Algorithm onto CUDA GPUs -- VFP: A Visual Tool for Predicting Gene-Fusion Base on Analyzing Single-end RNA-Sequence -- A Novel Method for Identifying Essential Proteins from Active PPI Networks -- RAUR: Re-alignment of Unmapped Reads with Base Quality Score -- PIGS: Improved Estimates of Identity-by-Descent Probabilities by Probabilistic IBD Graph Sampling -- Clustering PPI Data through Improved Synchronization-Based Hierarchical Clustering Method -- Order Decay in Transcription Regulation in Type 1 Diabetes -- Simulated Regression Algorithm for Transcriptome Quantification.
Record Nr. UNINA-9910484378703321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computational intelligence in bioinformatics / edited by Gary B. Fogel, David W. Corne and Yi Pan
Computational intelligence in bioinformatics / edited by Gary B. Fogel, David W. Corne and Yi Pan
Pubbl/distr/stampa [Hoboken, New Jersey] : , : Wiley-IEEE, 2007
Descrizione fisica 1 online resource (377 p.)
Disciplina 572.028563
572.80285
Altri autori (Persone) CorneDavid
PanYi
FogelGary <1968->
Collana IEEE press series on computational intelligence
Soggetto topico Bioinformática
Inteligencia computacional
Soggetto genere / forma Libros electrónicos
Soggetto non controllato Informática general
ISBN 0-470-65215-2
1-281-22169-4
9786611221690
0-470-19909-1
0-470-19908-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- Contributors -- Part One Gene Expression Analysis and Systems Biology -- 1. Hybrid of Neural Classifi er and Swarm Intelligence in Multiclass Cancer Diagnosis with Gene Expression Signatures (Rui Xu, Georgios C. Anagnostopoulos, and Donald C. Wunsch II) -- 1.1 Introduction -- 1.2 Methods and Systems -- 1.3 Experimental Results -- 1.4 Conclusions -- 2. Classifying Gene Expression Profi les with Evolutionary Computation (Jin-Hyuk Hong and Sung-Bae Cho) -- 2.1 DNA Microarray Data Classifi cation -- 2.2 Evolutionary Approach to the Problem -- 2.3 Gene Selection with Speciated Genetic Algorithm -- 2.4 Cancer Classifi ction Based on Ensemble Genetic Programming -- 2.5 Conclusion -- 3. Finding Clusters in Gene Expression Data Using EvoCluster (Patrick C. H. Ma, Keith C. C. Chan, and Xin Yao) -- 3.1 Introduction -- 3.2 Related Work -- 3.3 Evolutionary Clustering Algorithm -- 3.4 Experimental Results -- 3.5 Conclusions -- 4. Gene Networks and Evolutionary Computation (Jennifer Hallinan) -- 4.1 Introduction -- 4.2 Evolutionary Optimization -- 4.3 Computational Network Modeling -- 4.4 Extending Reach of Gene Networks -- 4.5 Network Topology Analysis -- 4.6 Summary -- Part Two Sequence Analysis and Feature Detection -- 5. Fuzzy-Granular Methods for Identifying Marker Genes from Microarray Expression Data (Yuanchen He, Yuchun Tang, Yan-Qing Zhang, and Rajshekhar Sunderraman) -- 5.1 Introduction -- 5.2 Traditional Algorithms for Gene Selection -- 5.3 New Fuzzy-Granular-Based Algorithm for Gene Selection -- 5.4 Simulation -- 5.5 Conclusions -- 6. Evolutionary Feature Selection for Bioinformatics (Laetitia Jourdan, Clarisse Dhaenens, and El-Ghazali Talbi) -- 6.1 Introduction -- 6.2 Evolutionary Algorithms for Feature Selection -- 6.3 Feature Selection for Clustering in Bioinformatics -- 6.4 Feature Selection for Classifi cation in Bioinformatics -- 6.5 Frameworks and Data Sets -- 6.6 Conclusion -- 7. Fuzzy Approaches for the Analysis CpG Island Methylation Patterns (Ozy Sjahputera, Mihail Popescu, James M. Keller, and Charles W. Caldwell).
7.1 Introduction -- 7.2 Methods -- 7.3 Biological Signifi cance -- 7.4 Conclusions -- Part Three Molecular Structure and Phylogenetics -- 8. Protein-Ligand Docking with Evolutionary Algorithms(Rene Thomsen) -- 8.1 Introduction -- 8.2 Biochemical Background -- 8.3 The Docking Problem -- 8.4 Protein-Ligand Docking Algorithms -- 8.5 Evolutionary Algorithms -- 8.6 Effect of Variation Operators -- 8.7 Differential Evolution -- 8.8 Evaluating Docking Methods -- 8.9 Comparison between Docking Methods -- 8.10 Summary -- 8.11 Future Research Topics -- 9. RNA Secondary Structure Prediction Employing Evolutionary Algorithms (Kay C. Wiese, Alain A. Deschanes, and Andrew G. Hendriks) -- 9.1 Introduction -- 9.2 Thermodynamic Models -- 9.3 Methods -- 9.4 Results -- 9.5 Conclusion -- 10. Machine Learning Approach for Prediction of Human Mitochondrial Proteins (Zhong Huang, Xuheng Xu, and Xiaohua Hu) -- 10.1 Introduction -- 10.2 Methods and Systems -- 10.3 Results and Discussion -- 10.4 Conclusions -- 11. Phylogenetic Inference Using Evolutionary Algorithms(Clare Bates Congdon) -- 11.1 Introduction -- 11.2 Background in Phylogenetics -- 11.3 Challenges and Opportunities for Evolutionary Computation -- 11.4 One Contribution of Evolutionary Computation: Graphyl -- 11.5 Some Other Contributions of Evolutionary computation -- 11.6 Open Questions and Opportunities -- Part Four Medicine -- 12. Evolutionary Algorithms for Cancer Chemotherapy Optimization (John McCall, Andrei Petrovski, and Siddhartha Shakya) -- 12.1 Introduction -- 12.2 Nature of Cancer -- 12.3 Nature of Chemotherapy -- 12.4 Models of Tumor Growth and Response -- 12.5 Constraints on Chemotherapy -- 12.6 Optimal Control Formulations of Cancer Chemotherapy -- 12.7 Evolutionary Algorithms for Cancer Chemotherapy Optimization -- 12.8 Encoding and Evaluation -- 12.9 Applications of EAs to Chemotherapy Optimization Problems -- 12.10 Related Work -- 12.11 Oncology Workbench -- 12.12 Conclusion -- 13. Fuzzy Ontology-Based Text Mining System for Knowledge Acquisition, Ontology Enhancement, and Query Answering from Biomedical Texts (Lipika Dey and Muhammad Abulaish).
13.1 Introduction -- 13.2 Brief Introduction to Ontologies -- 13.3 Information Retrieval form Biological Text Documents: Related Work -- 13.4 Ontology-Based IE and Knowledge Enhancement System -- 13.5 Document Processor -- 13.6 Biological Relation Extractor -- 13.7 Relation-Based Query Answering -- 13.8 Evaluation of the Biological Relation Extraction Process -- 13.9 Biological Relation Characterizer -- 13.10 Determining Strengths of Generic Biological Relations -- 13.11 Enhancing GENIA to Fuzzy Relational Ontology -- 13.12 Conclusions and Future Work -- References -- Appendix Feasible Biological Relations -- Index.
Record Nr. UNINA-9910144575003321
[Hoboken, New Jersey] : , : Wiley-IEEE, 2007
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computational intelligence in bioinformatics / edited by Gary B. Fogel, David W. Corne and Yi Pan
Computational intelligence in bioinformatics / edited by Gary B. Fogel, David W. Corne and Yi Pan
Pubbl/distr/stampa [Hoboken, New Jersey] : , : Wiley-IEEE, 2007
Descrizione fisica 1 online resource (377 p.)
Disciplina 572.028563
572.80285
Altri autori (Persone) CorneDavid
PanYi
FogelGary <1968->
Collana IEEE press series on computational intelligence
Soggetto topico Bioinformática
Inteligencia computacional
Soggetto genere / forma Libros electrónicos
Soggetto non controllato Informática general
ISBN 0-470-65215-2
1-281-22169-4
9786611221690
0-470-19909-1
0-470-19908-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- Contributors -- Part One Gene Expression Analysis and Systems Biology -- 1. Hybrid of Neural Classifi er and Swarm Intelligence in Multiclass Cancer Diagnosis with Gene Expression Signatures (Rui Xu, Georgios C. Anagnostopoulos, and Donald C. Wunsch II) -- 1.1 Introduction -- 1.2 Methods and Systems -- 1.3 Experimental Results -- 1.4 Conclusions -- 2. Classifying Gene Expression Profi les with Evolutionary Computation (Jin-Hyuk Hong and Sung-Bae Cho) -- 2.1 DNA Microarray Data Classifi cation -- 2.2 Evolutionary Approach to the Problem -- 2.3 Gene Selection with Speciated Genetic Algorithm -- 2.4 Cancer Classifi ction Based on Ensemble Genetic Programming -- 2.5 Conclusion -- 3. Finding Clusters in Gene Expression Data Using EvoCluster (Patrick C. H. Ma, Keith C. C. Chan, and Xin Yao) -- 3.1 Introduction -- 3.2 Related Work -- 3.3 Evolutionary Clustering Algorithm -- 3.4 Experimental Results -- 3.5 Conclusions -- 4. Gene Networks and Evolutionary Computation (Jennifer Hallinan) -- 4.1 Introduction -- 4.2 Evolutionary Optimization -- 4.3 Computational Network Modeling -- 4.4 Extending Reach of Gene Networks -- 4.5 Network Topology Analysis -- 4.6 Summary -- Part Two Sequence Analysis and Feature Detection -- 5. Fuzzy-Granular Methods for Identifying Marker Genes from Microarray Expression Data (Yuanchen He, Yuchun Tang, Yan-Qing Zhang, and Rajshekhar Sunderraman) -- 5.1 Introduction -- 5.2 Traditional Algorithms for Gene Selection -- 5.3 New Fuzzy-Granular-Based Algorithm for Gene Selection -- 5.4 Simulation -- 5.5 Conclusions -- 6. Evolutionary Feature Selection for Bioinformatics (Laetitia Jourdan, Clarisse Dhaenens, and El-Ghazali Talbi) -- 6.1 Introduction -- 6.2 Evolutionary Algorithms for Feature Selection -- 6.3 Feature Selection for Clustering in Bioinformatics -- 6.4 Feature Selection for Classifi cation in Bioinformatics -- 6.5 Frameworks and Data Sets -- 6.6 Conclusion -- 7. Fuzzy Approaches for the Analysis CpG Island Methylation Patterns (Ozy Sjahputera, Mihail Popescu, James M. Keller, and Charles W. Caldwell).
7.1 Introduction -- 7.2 Methods -- 7.3 Biological Signifi cance -- 7.4 Conclusions -- Part Three Molecular Structure and Phylogenetics -- 8. Protein-Ligand Docking with Evolutionary Algorithms(Rene Thomsen) -- 8.1 Introduction -- 8.2 Biochemical Background -- 8.3 The Docking Problem -- 8.4 Protein-Ligand Docking Algorithms -- 8.5 Evolutionary Algorithms -- 8.6 Effect of Variation Operators -- 8.7 Differential Evolution -- 8.8 Evaluating Docking Methods -- 8.9 Comparison between Docking Methods -- 8.10 Summary -- 8.11 Future Research Topics -- 9. RNA Secondary Structure Prediction Employing Evolutionary Algorithms (Kay C. Wiese, Alain A. Deschanes, and Andrew G. Hendriks) -- 9.1 Introduction -- 9.2 Thermodynamic Models -- 9.3 Methods -- 9.4 Results -- 9.5 Conclusion -- 10. Machine Learning Approach for Prediction of Human Mitochondrial Proteins (Zhong Huang, Xuheng Xu, and Xiaohua Hu) -- 10.1 Introduction -- 10.2 Methods and Systems -- 10.3 Results and Discussion -- 10.4 Conclusions -- 11. Phylogenetic Inference Using Evolutionary Algorithms(Clare Bates Congdon) -- 11.1 Introduction -- 11.2 Background in Phylogenetics -- 11.3 Challenges and Opportunities for Evolutionary Computation -- 11.4 One Contribution of Evolutionary Computation: Graphyl -- 11.5 Some Other Contributions of Evolutionary computation -- 11.6 Open Questions and Opportunities -- Part Four Medicine -- 12. Evolutionary Algorithms for Cancer Chemotherapy Optimization (John McCall, Andrei Petrovski, and Siddhartha Shakya) -- 12.1 Introduction -- 12.2 Nature of Cancer -- 12.3 Nature of Chemotherapy -- 12.4 Models of Tumor Growth and Response -- 12.5 Constraints on Chemotherapy -- 12.6 Optimal Control Formulations of Cancer Chemotherapy -- 12.7 Evolutionary Algorithms for Cancer Chemotherapy Optimization -- 12.8 Encoding and Evaluation -- 12.9 Applications of EAs to Chemotherapy Optimization Problems -- 12.10 Related Work -- 12.11 Oncology Workbench -- 12.12 Conclusion -- 13. Fuzzy Ontology-Based Text Mining System for Knowledge Acquisition, Ontology Enhancement, and Query Answering from Biomedical Texts (Lipika Dey and Muhammad Abulaish).
13.1 Introduction -- 13.2 Brief Introduction to Ontologies -- 13.3 Information Retrieval form Biological Text Documents: Related Work -- 13.4 Ontology-Based IE and Knowledge Enhancement System -- 13.5 Document Processor -- 13.6 Biological Relation Extractor -- 13.7 Relation-Based Query Answering -- 13.8 Evaluation of the Biological Relation Extraction Process -- 13.9 Biological Relation Characterizer -- 13.10 Determining Strengths of Generic Biological Relations -- 13.11 Enhancing GENIA to Fuzzy Relational Ontology -- 13.12 Conclusions and Future Work -- References -- Appendix Feasible Biological Relations -- Index.
Record Nr. UNINA-9910829979903321
[Hoboken, New Jersey] : , : Wiley-IEEE, 2007
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