Applied Soft Computing: Techniques and Applications

✍ Scribed by Samarjeet Borah (editor), Ranjit Panigrahi (editor)

• Publisher: Apple Academic Press
• Year: 2022
• Tongue: English
• Leaves: 287
• Edition: 1
• Category: Library

✦ Synopsis

Applied Soft Computing: Techniques and Applications explores a variety of modern techniques that deal with estimated models and give resolutions to complex real-life issues. Involving the concepts and practices of soft computing in conjunction with other frontier research domains, this book explores a variety of modern applications in soft computing, including bioinspired computing, reconfigurable computing, fuzzy logic, fusion-based learning, intelligent healthcare systems, bioinformatics, data mining, functional approximation, genetic and evolutionary algorithms, hybrid models, machine learning, meta heuristics, neuro fuzzy system, and optimization principles. The book acts as a reference book for AI developers, researchers, and academicians as it addresses the recent technological developments in the field of soft computing.

Soft computing has played a crucial role not only with the theoretical paradigms but is also popular for its pivotal role for designing a large variety of expert systems and artificial intelligent-based applications. Beginning with the basics of soft computing, this book deeply covers applications of soft computing in areas such as approximate reasoning, artificial neural networks, Bayesian networks, big data analytics, bioinformatics, cloud computing, control systems, data mining, functional approximation, fuzzy logic, genetic and evolutionary algorithms, hybrid models, machine learning, meta heuristics, neuro fuzzy system, optimization, randomized searches, and swarm intelligence.

This book is destined for a wide range of readers who wish to learn applications of soft computing approaches. It will be useful for academicians, researchers, students, and machine learning experts who use soft computing techniques and algorithms to develop cutting-edge artificial intelligence-based applications.

✦ Table of Contents

Cover
Half Title
Title Page
Copyright Page
Research Notes on Computing and Communication Sciences
Books in the Research Notes on Computing and Communication Sciences Series
About the Editors
Table of Contents
Contributors
Abbreviations
Preface
Introduction
1. Swarm Intelligence and Bio-Inspired Computation
2. User vs. Self-Tuning Optimization: A Case Study on Image Registration
3. Secure Communication Using a Novel 4-D Double Scroll Chaotic System
4. Detecting Hate Speech Through Machine Learning
5. Optimization of Logical Resources in Reconfigurable Computing
6. A Sophisticated Similarity Measure for Picture Fuzzy Sets and Their Application
7. Semi-Circular Fuzzy Variable and Its Properties
8. Virtual Machine Selection Optimization Using Nature-Inspired Algorithms
9. Extractive Text Summarization Using Convolutional Neural Network
10. Theory, Concepts, and Applications of Artificial Neural Network
11. Comparing Word Embeddings on Authorship Identification
12. Fusion-Based Learning Approach for Predicting Diseases in an Earlier Stage
13. A Fuzzy-Based Framework for an Agriculture Recommender System Using Membership Function
14. Implying Fuzzy Set for Computing Agricultural Vulnerability
15. Modeling an Intelligent System for Health Care Management
Index