This book explores a variety of modern techniques that deal with estimated models and give resolutions to complex real-life issues. 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.

Samarjeet Borah, PhD, is Professor and Head of the Department of Computer Applications, SMIT, Sikkim Manipal University, Sikkim, India. Dr. Borah has carried out various funded projects from AICTE (GoI), DST-CSRI (GoI), etc. He has organized various workshops and conferences at national and international levels. Dr. Borah is involved with various book volumes and journals. He is the editor-in-chief of the book series Research Notes on Computing and Communication Sciences, published by Apple Academic Press. His areas of research are data mining, data science, and machine learning.

Ranjit Panigrahi, PhD, is Assistant Professor in the Department of Computer Applications at Sikkim Manipal University (SMU), Sikkim, India. His research interests are machine learning, pattern recognition, and wireless sensor networks. Dr. Panigrahi is actively involved in various national and international conferences of repute. He serves as a member of technical review committees for various international journals. He received his MTech in Computer Sciences and Engineering from Sikkim Manipal Institute of Technology and his PhD in Computer Applications from Sikkim Manipal University, India.

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 Networks 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