Overview

This two-volume set of LNCS 12463 and LNCS 12464 constitutes - in conjunction with the volume LNAI 12465 - the refereed proceedings of the 16th International Conference on Intelligent Computing, ICIC 2020, held in Bari, Italy, in October 2020. The 162 full papers of the three proceedings volumes were carefully reviewed and selected from 457 submissions. The ICIC theme unifies the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. The theme for this conference is “Advanced Intelligent Computing Methodologies and Applications.” Papers related to this theme are especially solicited, addressing theories, methodologies, and applications in science and technology.

Full Product Details

Author:   De-Shuang Huang ,  Kang-Hyun Jo
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
Volume:   12464
Weight:   0.997kg
ISBN:  

9783030608019

ISBN 10:   3030608018
Pages:   638
Publication Date:   14 October 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

Gene Expression Array Analysis.- Gene Regulation Modeling and Analysis.- Protein-Protein Interaction Prediction.- Biomarker Discovery and Detection.- Systems Biology.- Modeling, Simulation, and Optimization of Biological Systems.- Intelligent Computing in Computational Biology.- Intelligent Computing in Drug Design.- Computational Genomics.- Artificial Intelligence in Biological and Medical Information Procession.- Recent Advances in Swarm Intelligence: computing and applications.- Machine Learning Techniques in Bioinformatics.- High-performance Modelling Methods on High-throughput Biomedical Data.- Intelligent Computing and Swarm Optimization.- Construction of Large-Scale Heterogeneous Molecular Association Network and its Application in Molecular Link Prediction.

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