A critical part of ensuring that systems are advancing alongside technology without complications is problem solving. Practical applications of problem-solving theories can model conflict and cooperation and aid in creating solutions to real-world problems. Soft-Computing-Based Nonlinear Control Systems Design is a critical scholarly publication that examines the practical applications of control theory and its applications in problem solving to fields including economics, environmental management, and financial modelling. Featuring a wide range of topics, such as fuzzy logic, nature-inspired algorithms, and cloud computing, this book is geared toward academicians, researchers, and students seeking relevant research on control theory and its practical applications.

Pomegranate (Punica granatum L.) is one of the ancient fruits associated with several human cultures of the world. Its nutritional, therapeutic and ornamental values were known to humans since antiquity. Although pomegranate is an ancient fruit plant, it has gained commercial significance recently. In the present text, proven technologies and procedure for export have largely been complied for the end-users. The book has six broad chapters, with major focus on production technology, integrated disease and insect pest management (IDIPM), post harvest management and procedure for export of pomegranate. This publication will benefit the pomegranate growers, researchers, students, extension workers, processors, exporters, various developmental agencies and other stake holders involved in the promotion of the pomegranate industry in India.

This book presents high-quality research papers presented at 3rd International Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering and Technology (ICSISCET 2021) held at Madhav Institute of Technology & Science (MITS), Gwalior, India, from November 13-14, 2021. The book extensively covers recent research in artificial intelligence (AI) that knits together nature-inspired algorithms, evolutionary computing, fuzzy systems, computational intelligence, machine learning, deep learning, etc., which is very useful while dealing with real problems due to their model-free structure, learning ability, and flexible approach. These techniques mimic human thinking and decision-making abilities to produce systems that are intelligent, efficient, cost-effective, and fast. The book provides a friendly and informative treatment of the topics which makes this book an ideal reference for both beginners and experienced researchers.