Intelligent Computing Theories and Application: Lecture Notes in Computer Science, cartea 10362
Editat de De-Shuang Huang, Kang-Hyun Jo, Juan Carlos Figueroa-Garcíaen Limba Engleză Paperback – 20 iul 2017
The 221 full papers and 15 short papers of the three proceedings volumes were carefully reviewed and selected from 639 submissions. This second volume of the set comprises 74 papers. The papers are organized in topical sections such as Pattern Recognition; Image Processing; Virtual Reality and Human-Computer Interaction; Healthcare Informatics Theory and Methods; Genetic Algorithms; Blind Source Separation; Intelligent Fault Diagnosis; Machine Learning; Knowledge Discovery and Data Mining; Gene Expression Array Analysis; Systems Biology; Modeling, Simulation, and Optimization of Biological Systems; Intelligent Computing in Computational Biology; Computational Genomics; Computational Proteomics; Gene Regulation Modeling and Analysis; SNPs and Haplotype Analysis; Protein-Protein Interaction Prediction; Protein Structure and Function Prediction; Next-Gen Sequencing and Metagenomics; Structure Prediction and Folding; Biomarker Discovery; Applications of Machine Learning Techniques to Computational Proteomics, Genomics, and Biological Sequence Analysis; Biomedical Image Analysis; Human-Machine Interaction: Shaping Tools Which Will Shape Us; Protein and Gene Bioinformatics: Analysis, Algorithms and Applications; Special Session on Computer Vision based Navigation; Neural Networks: Theory and Application.
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Specificații
ISBN-13: 9783319633114
ISBN-10: 3319633112
Pagini: 868
Ilustrații: XXIII, 841 p. 274 illus.
Dimensiuni: 155 x 235 x 47 mm
Greutate: 1.29 kg
Ediția:1st edition 2017
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
ISBN-10: 3319633112
Pagini: 868
Ilustrații: XXIII, 841 p. 274 illus.
Dimensiuni: 155 x 235 x 47 mm
Greutate: 1.29 kg
Ediția:1st edition 2017
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
Cuprins
Pattern Recognition.- Image Processing.- Virtual Reality and Human-Computer Interaction.- Healthcare Informatics Theory and Methods.- Genetic Algorithms.- Blind Source Separation.- Intelligent Fault Diagnosis.- Machine Learning; Knowledge Discovery and Data Mining.- Gene Expression Array Analysis.- Systems Biology.- Modeling, Simulation, and Optimization of Biological Systems.- Intelligent Computing in Computational Biology.- Computational Genomics.- Computational Proteomics.- Gene Regulation Modeling and Analysis.- SNPs and Haplotype Analysis.- Protein-Protein Interaction Prediction.- Protein Structure and Function Prediction.- Next-Gen Sequencing and Metagenomics.- Structure Prediction and Folding.- Biomarker Discovery.- Applications of Machine Learning Techniques to Computational Proteomics, Genomics, and Biological Sequence Analysis; Biomedical Image Analysis.- Human-Machine Interaction: Shaping Tools Which Will Shape Us.- Protein and Gene Bioinformatics: Analysis, Algorithmsand Applications.- Special Session on Computer Vision based Navigation.- Neural Networks: Theory and Application.
Caracteristici
Includes supplementary material: sn.pub/extras