Intelligent Computing Theories and Application

13th International Conference, ICIC 2017, Liverpool, UK, August 7-10, 2017, Proceedings, Part II

AvDe-Shuang Huang,Kang-Hyun Jo

Häftad, Engelska, 2017

Del 10362 i serien Lecture Notes in Computer Science

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Beskrivning

?This three-volume set LNCS 10361, LNCS 10362, and LNAI 10363 constitutes the refereed proceedings of the 13th International Conference on Intelligent Computing, ICIC 2017, held in Liverpool, UK, in August 2017. Applications of Machine Learning Techniques to Computational Proteomics, Genomics, and Biological Sequence Analysis;

Produktinformation

Utgivningsdatum:2017-07-20
Mått:155 x 235 x 47 mm
Vikt:1 288 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:841
Förlag:Springer International Publishing AG
ISBN:9783319633114

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Biovetenskap inom Naturvetenskap och teknik
Tillämpad datateknik inom Data och IT

Innehållsförteckning

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.