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Bio-Inspired Computing: Theories and Applications: 16th International Conference, BIC-TA 2021, Taiyuan, China, December 17-19, 2021, Revised Selected Papers, Part I

Bio-Inspired Computing: Theories and Applications: 16th International Conference, BIC-TA 2021, Taiyuan, China, December 17-19, 2021, Revised Selected Papers, Part I

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  • More about Bio-Inspired Computing: Theories and Applications: 16th International Conference, BIC-TA 2021, Taiyuan, China, December 17-19, 2021, Revised Selected Papers, Part I

The 16th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2021, held in Taiyuan, China, in December 2021, has published a two-volume set of selected and revised papers. The papers cover topics such as evolutionary computation and swarm intelligence, DNA and molecular computing, machine learning and computer vision.

Format: Paperback / softback
Length: 461 pages
Publication date: 24 March 2022
Publisher: Springer Verlag, Singapore

The 16th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2021, was held in Taiyuan, China, in December 2021, and this two-volume set (CCIS 1565 and CCIS 1566) comprises selected and revised papers from the conference. A total of 67 papers were presented at the conference, and after rigorous review, these papers were chosen from a pool of 211 submissions. The papers are organized into the following topical sections:

Evolutionary Computation and Swarm Intelligence: This section explores the use of evolutionary algorithms and swarm intelligence techniques in solving complex problems. It covers topics such as genetic algorithms, particle swarm optimization, ant colony optimization, and other bio-inspired approaches.

DNA and Molecular Computing: This section focuses on the application of DNA and molecular computing techniques to solve problems in bioinformatics, genetics, and other fields related to biological systems. It covers topics such as DNA sequencing, protein folding, and drug design.

Machine Learning and Computer Vision: This section explores the use of machine learning and computer vision algorithms to analyze and interpret biological data. It covers topics such as image recognition, object detection, and medical imaging.

The contributions made by the authors in these areas showcase the latest advancements in bio-inspired computing and its potential applications in various fields. The papers in this set provide valuable insights into the latest research trends and developments in this field.

Overall, this two-volume set serves as a valuable resource for researchers, academics, and practitioners interested in bio-inspired computing and its applications. It provides a comprehensive overview of the latest research and developments in this field and serves as a valuable reference for future research.

Weight: 735g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811912559
Edition number: 1st ed. 2022

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