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Advances in Computer Science and Ubiquitous Computing [[electronic resource] ] : 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 [[electronic resource] ] : 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
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Computer Science and Ubiquitous Computing [[electronic resource] ] : CSA-CUTE 2018 / / edited by James J. Park, Doo-Soon Park, Young-Sik Jeong, Yi Pan
| Advances in Computer Science and Ubiquitous Computing [[electronic resource] ] : 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 | ||
| ||
Advances in Computer Science and Ubiquitous Computing [[electronic resource] ] : CSA-CUTE2016 / / edited by James J. (Jong Hyuk) Park, Yi Pan, Gangman Yi, Vincenzo Loia
| Advances in Computer Science and Ubiquitous Computing [[electronic resource] ] : 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 | ||
| ||
Aging Welfare and Social Policy [[electronic resource] ] : China and the Nordic Countries in Comparative Perspective / / edited by Tian-kui Jing, Stein Kuhnle, Yi Pan, Sheying Chen
| Aging Welfare and Social Policy [[electronic resource] ] : 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 | ||
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Artificial Intelligence and Machine Learning : First International Artificial Intelligence Conference, IAIC 2023, Nanjing, China, November 25-27, 2023, Revised Selected Papers, Part I
| Artificial Intelligence and Machine Learning : First International Artificial Intelligence Conference, IAIC 2023, Nanjing, China, November 25-27, 2023, Revised Selected Papers, Part I |
| Autore | Jin Hai |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore Pte. Limited, , 2024 |
| Descrizione fisica | 1 online resource (508 pages) |
| Altri autori (Persone) |
PanYi
LuJianFeng |
| Collana | Communications in Computer and Information Science Series |
| ISBN | 981-9712-77-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910847071603321 |
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Jin Hai
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| Singapore : , : Springer Singapore Pte. Limited, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 | ||
| ||
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. | UNINA-9910484378703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 | ||
| ||
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 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computer Science and Educational Informatization [[electronic resource] ] : 5th International Conference, CSEI 2023, Kunming, China, August 11–13, 2023, Revised Selected Papers, Part II / / edited by Jianhou Gan, Yi Pan, Juxiang Zhou, Dong Liu, Xianhua Song, Zeguang Lu
| Computer Science and Educational Informatization [[electronic resource] ] : 5th International Conference, CSEI 2023, Kunming, China, August 11–13, 2023, Revised Selected Papers, Part II / / edited by Jianhou Gan, Yi Pan, Juxiang Zhou, Dong Liu, Xianhua Song, Zeguang Lu |
| Autore | Gan Jianhou |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (469 pages) |
| Disciplina | 005.3 |
| Altri autori (Persone) |
PanYi
ZhouJuxiang LiuDong SongXianhua LuZeguang |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Application software
Social sciences - Data processing Computers Education - Data processing Database management Artificial intelligence Computer and Information Systems Applications Computer Application in Social and Behavioral Sciences Computing Milieux Computers and Education Database Management System Artificial Intelligence |
| ISBN | 981-9994-92-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Innovative Application for the Deeper Integration of Education Practice and Information Technology -- Automatic Readability Assessment Based on Phraseological Complexity -- 1 Introduction -- 2 Related Works -- 3 Phraseological Complexity Feature System Construction -- 3.1 Phrase Definition and Types -- 3.2 Phraseological Complexity Features -- 4 Experiments -- 4.1 Datasets -- 4.2 Features Extraction -- 4.3 Experiments and Results -- 5 Conclusion and Future Work -- References -- Moonix: An Educational Operating System on Nezha D1-H RISC-V Development Board -- 1 Introduction -- 2 RISC-V Privileged Architecture -- 3 Overall Design -- 4 Booting -- 5 Interrupt -- 6 Memory -- 7 Process and Thread -- 8 User Shell -- 9 Conclusion -- References -- Visual Analysis of Research Progress of Blended Collaborative Learning Based on CiteSpace -- 1 Introduction -- 2 Materials and Methods -- 3 Data Processing and Analysis Results -- 3.1 Study Geographical Distribution -- 3.2 Keyword Co-occurrence Analysis -- 3.3 Keyword Timeline Clustering Map Analysis -- 3.4 Keyword Mutation Analysis -- 4 Conclusion and Discussion -- 5 Expectation -- References -- The Effect of English Vocabulary Memorization Applications (App) on College Students' English Learning -- 1 Introduction -- 1.1 Research Purpose -- 1.2 Research Questions -- 1.3 Research Significance -- 2 Methodology -- 2.1 Research Subject -- 2.2 Questionnaire -- 2.3 Data Collection and Data Analysis -- 3 Results -- 3.1 Overall Situation of the Way Students Choose to Memorize Vocabulary -- 3.2 The Reasons for Students' Preference for Apps -- 3.3 Frequency of Utilization of Apps -- 3.4 The Evaluation of Students' Vocabulary Retention -- 4 Suggestions -- 4.1 Suggestions for English Teaching -- 4.2 Suggestions for English Learners.
4.3 Suggestions for App Developers -- 5 Conclusions -- References -- Construction of Knowledge Graph Based on Design Thinking Cultivation -- 1 Introduction -- 2 The Current State of Research in Design Thinking -- 3 Theoretical Foundations for Design Thinking Development -- 3.1 Design Thinking Development Model -- 3.2 Knowledge Graph and the Development of Higher-Order Thinking -- 4 Construction of Knowledge Graph Based on Design Thinking Cultivation -- 4.1 Construction of Knowledge Graph -- 5 Summary -- References -- A Novel Teaching Strategy Based on EduCoder Platform for C Programming Language -- 1 Introduction -- 2 Related Work -- 3 A Novel Teaching Strategy Based on EduCoder Platform -- 3.1 EduCoder Platform -- 3.2 Experimental Teaching of C Programming Language Course -- 3.3 Experimental Teaching Based on LDEI Cycle -- 4 Experimental Teaching Outcome -- 5 Conclusion -- References -- Research on the Status of Website Video Service in Libraries Based on Bilibili -- 1 Introduction -- 2 Literature Review -- 3 Data and Methodology -- 3.1 Research Object -- 3.2 Data Collection -- 3.3 Data Analysis -- 4 Results -- 4.1 Registration and Maintenance -- 4.2 Effect Analysis -- 5 Findings and Suggestions -- 5.1 Insufficient Attention -- 5.2 Weak Influence -- 5.3 Content and Professionalism -- 6 Conclusion -- References -- Exploration of Teaching Mode of Intelligent Product Modeling Design Based on CDIO Active Learning -- 1 Introduction -- 2 Curriculum Characteristics Analysis -- 3 Active Learning Teaching Mode Design -- 3.1 Pre-knowledge of Online Networking Platforms -- 3.2 Design of Teaching Activities -- 3.3 Implementation of Comprehensive Projects -- 4 Teaching Effectiveness Tracking -- 4.1 Student Achievement -- 4.2 Questionnaire Survey -- 5 Conclusion -- References. Personalized Questioning Teaching Mode for English Reading in Junior High School Based on Automatic Question Generation -- 1 Introduction -- 2 DSQG Model -- 2.1 Overview of DSQG Model -- 2.2 Methodology for DSQG -- 2.3 Experiment -- 3 Construction of the Personalized Question Teaching Mode -- 3.1 Overview of the Personalized Questioning Teaching Mode -- 3.2 Four Modules of the Personalized Questioning Teaching Mode -- 4 Empirical Study of Personalized Questioning Teaching Mode -- 4.1 Teaching and Experimental Scheme -- 4.2 Case Design of the New Teaching Mode -- 4.3 Effect Analysis of the Application for the New Teaching Mode -- 5 Conclusion -- References -- Learner Portrait Project Integrated into the Python Programming Course: A Case of Integration of Professional Education and Innovation and Entrepreneurship Education -- 1 Introduction -- 2 Aims and Significances of the Python Programming Course Based on IPEIEE -- 2.1 Course Basics and Course Orientation -- 2.2 Course Status and Main Problems -- 2.3 Concept and Significance of "Student-Centered" Course Based on IPEIEE -- 3 "OBE" Concept+ "Frontier Projectization" Course Design Based on IPEIEE -- 3.1 General Idea of Course Design -- 3.2 Teaching Objective System Setting -- 3.3 "Online-Offline Hybrid"-Small Private Online Course (SPOC) Model -- 3.4 "Frontier Projectization" Teaching Content Reconstruction -- 3.5 "Progressive" Teaching Resources and Online Platform Construction -- 3.6 Diversity Teaching Evaluation Based on "Monitoring Teaching Through Evaluation" -- 4 Learner Portrait Project Integrated into the Python Programming Course -- 4.1 Learner Portrait Project and Staged Outputs -- 4.2 Learner Portrait Project and Staged Outputs -- 4.3 Teaching Methods and Means -- 4.4 A Unit Teaching Case that Reflects "Higher-Order, Innovation, and Challenge". 5 Teaching Features and Effects of Python Programming Course Based on IPEIEE -- 5.1 Teaching Features -- 5.2 Teaching Effect -- 6 Conclusion -- References -- Construction and Implementation of Artificial Intelligence Classroom Teaching Model Based on the AI Open Platform -- 1 Introduction -- 1.1 A Subsection Sample -- 2 Experiential Learning Theory -- 2.1 Theoretical Sources -- 2.2 Main Points -- 3 Artificial Intelligence Classroom Teaching Model Construction -- 3.1 Application of AI Open Platform -- 3.2 AI Open Platform-Based Teaching Strategies for Artificial Intelligence Classrooms -- 3.3 Construction of an Artificial Intelligence Classroom Teaching Model Based on the AI Open Platform -- 4 Implementation and Evaluation of Artificial Intelligence Classroom Teaching -- 4.1 Object of Implementation -- 4.2 Implementation Process -- 4.3 Evaluation Questionnaire Design -- 4.4 Analysis of the Reliability of the Questionnaire Results -- 4.5 Analysis of Questionnaire Responses -- 5 Conclusion -- References -- Research and Innovation of Artificial Intelligence Curriculum System-Under the Background of "Double First-Class" Construction -- 1 Introduction -- 2 Literature Review -- 2.1 Domestic Research Status -- 2.2 Research Abroad -- 2.3 Research Review -- 3 Curriculum System Construction -- 3.1 The Concept of Curriculum System Construction -- 3.2 Construting the Curriculum System of Intelligent Science and Technology -- 4 Construction and Practice of Artificial Intelligence Curriculum System -- 4.1 Curriculum Relationship Structure -- 4.2 Solve the Short Board of Software and Hardware in the Frontier of Intelligent Science Theory and Intelligent Science Practice Environment -- 4.3 The Contradiction Between Traditional Teaching Method and Interdisciplinary Teaching Method and the Limitation of Intelligent Teaching Method. 4.4 The High-Performance Platform Combining Virtual Reality and Reality Provides the Support of Practice Environment -- 4.5 Optimize Teaching Feedback and Teaching Evaluation through Accurate Quantitative and Digital Teaching Evaluation -- 4.6 Add Innovative Assessment Elements, Improve Diversified Assessment Methods of Teaching and Optimize Teaching Evaluation -- 4.7 Using School Enterprise Cooperation to Cultivate Students' Ability to Solve Complex Engineering Problems -- 5 Discussion -- 6 Conclusions -- References -- Research on the Architecture of Intelligent Teaching Platform Based on Educational Neuroscience and Humanism Perspective -- 1 Introduction -- 2 Basic Teaching Philosophy -- 2.1 Influencing Factors of Implicit Learning -- 2.2 Learners' Emotion Regulation -- 2.3 Necessary Repetitive and Intensive Training -- 2.4 Creation of a Good Peripheral Learning Environment -- 2.5 Practice of Multi-perception Teaching -- 2.6 Use of Diversified Teaching -- 2.7 Simulation of Situational Teaching -- 2.8 Formative Evaluation and Feedback -- 3 Technical Characteristics of People-Oriented Intelligent Teaching -- 3.1 The Combination of Cloud, Network and Terminal, and the Interconnection of People, Machines and Things -- 3.2 Real Time Collection, Analysis and Processing of Environmental Data -- 3.3 Learner Characteristics Analysis -- 3.4 Self-Adaptive Learning Path Recommendation and Content Push -- 3.5 Cooperation and Integration of Man and Machine -- 3.6 Application of Multiple Scenarios -- 3.7 Cross Border Integration of Ubiquitous Networks -- 4 Basic Architecture and Process -- 4.1 Basic Architecture of Intelligent Teaching Platform -- 4.2 The Process Architecture of Learner Model -- 5 Limitations and Development Trends of Intelligent Teaching Platforms -- 6 Conclusion -- References. Designing and Implementing an Online Judging System Based on Docker and Vue. |
| Record Nr. | UNINA-9910799209603321 |
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Gan Jianhou
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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