Proceedings of the International Conference on Cognitive and Intelligent Computing: ICCIC 2021, Volume 1

This book presents original, peer-reviewed select articles from the International Conference on Cognitive & Intelligent Computing (ICCIC - 2021), held in Hyderabad, India. The articles cover various areas of cognitive and intelligent computing, including machine learning, soft computing, pattern recognition, decision support systems, text analytics, statistical learning, neural network learning, fuzzy logic, evolution, reinforcement learning, multi-strategy learning, cooperative learning, planning and learning, multi-agent learning, online and incremental learning, scalability of learning algorithms, inductive learning, inductive logic programming, Bayesian networks, support vector machines, case-based reasoning, multi-agent systems, human-computer interaction, data mining and knowledge discovery, knowledge management and networks, data-intensive computing architecture, medicine, health, bioinformatics, and systems biology, industrial and engineering applications, security applications, smart cities, game playing and problem solving, intelligent virtual environments, economics, business, and forecasting applications. The content is expected to be valuable for professionals, researchers, and research students working in the field of cognitive and intelligent computing.

Format: Hardback
Length: 925 pages
Publication date: 01 November 2022
Publisher: Springer Verlag, Singapore

This book presents a comprehensive collection of original, peer-reviewed articles from the International Conference on Cognitive & Intelligent Computing (ICCIC – 2021), held in Hyderabad, India, on December 11th and 12th, 2021. The proceedings showcase cutting-edge research outcomes in various areas of cognitive and intelligent computing, including machine learning in control applications, soft computing, pattern recognition, decision support systems, text analytics and natural language processing, statistical learning, neural network learning, learning through fuzzy logic, learning through evolution (evolutionary algorithms), reinforcement learning, multi-strategy learning, cooperative learning, planning and learning, multi-agent learning, online and incremental learning, scalability of learning algorithms, inductive learning, inductive logic programming, Bayesian networks, support vector machines, case-based reasoning, multi-agent systems, human-computer interaction, data mining and knowledge discovery, knowledge management and networks, data-intensive computing architecture, medicine, health, bioinformatics, and systems biology, industrial and engineering applications, security applications, smart cities, game playing and problem solving, intelligent virtual environments, economics, business, and forecasting applications.

The articles in this book have been meticulously selected based on their practical applications, making them invaluable resources for professionals, researchers, and research students working in the field of cognitive and intelligent computing. The content is designed to provide valuable insights and advancements in these rapidly evolving domains, contributing to the progress and innovation in the field.

Whether you are an expert in the field or just starting your journey, this book offers a wealth of knowledge and expertise that will help you stay ahead of the curve. So, take advantage of this opportunity to expand your knowledge and explore the latest developments in cognitive and intelligent computing.

Weight: 1568g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811923494
Edition number: 1st ed. 2022