Bøger af Prasenjit Chatterjee

Embark on an extraordinary journey with "Mystic Labyrinth Tales," a spellbinding children's puzzle maze book that beckons junior trailblazers into a world of mystery and discovery. Each page unfolds a new chapter in this captivating adventure, where curious minds navigate enchanting mazes through mythical realms and secret passageways. This book is not just a collection of puzzles; it's a quest for young explorers to unravel the secrets hidden within the twists and turns of each labyrinth. "Mystic Labyrinth Tales" seamlessly weaves together entertainment and education, fostering problem-solving skills while kindling the flames of imagination. Join the expedition and let the magic of learning unfold in a maze-filled tapestry of wonder and excitement!

Immerse your young readers in the enchanting world of "WhimsiMaze Wonders," a captivating children's puzzle maze book that transforms learning into an interactive adventure. This delightful book is a treasure trove of imaginative mazes, each crafted to engage and challenge inquisitive minds. As children navigate through twists and turns, they unlock a world of creativity, problem-solving, and joy. "WhimsiMaze Wonders" isn't just a book; it's a journey of discovery where every maze is a stepping stone to cognitive growth. Join the adventure and watch as your little ones unravel the mysteries of whimsical landscapes, fostering a love for learning through the magic of mazes. With each turn of the page, young minds embark on a delightful quest for knowledge, making "WhimsiMaze Wonders" an essential addition to any child's library.

This book explores the significance, challenges and benefits of digital twin technologies; it focuses in particular on various architectures, applications and challenges in the implementation of digital twins to Machine Learning and Internet of Things capabilities. Through the analysis of smart city and smart manufacturing case studies, the book explores the benefits of digital technologies in the Industry 4.0 Era.

This book comprises select proceedings of the 1st International Conference on Computational Intelligence for Engineering and Management Applications (CIEMA - 2022). This book emphasizes applications of computational intelligence including machine intelligence, data analytics, and optimization algorithms for solving fundamental and advanced engineering and management problems. This book serves as a valuable resource for researchers, industry professionals, academicians, and doctoral scholars in engineering, production, thermal, materials, design, computer engineering, natural sciences, and management who work on computational intelligence. The book also serves researchers who are willing to use computational intelligence algorithms in real-time applications.

Discusses various applications of ML in engineering fields and the use of ML algorithms in solving challenging engineering problems ranging from biomedical to manufacturing and industrial. Through numerous case studies, it will assist researchers and practitioners in selecting the correct options and strategies for managing organizational tasks.

This book addresses the problem of waste management by using multi-criteria decision-making (MCDM) methods. The authors discuss how to apply MCDM, a complex decision-making tool that involves both quantitative and qualitative factors, to develop strategies for effective waste management using various optimization models to rank alternatives, while also incorporating the concerns and needs of multiple stakeholders to find the most optimal decisions for various types of wastes. Typically, there does not exist a single optimal solution to waste problems; with help of MCDM, far better solutions can often be found and utilized to facilitate sustainable waste management techniques in various industries.This book provides unique, effective, and quick decision-making strategies for waste management. With the ever-increasing population and continuing human development, the problem of managing waste becomes increasingly essential, and this volume helps lead the way to finding sustainable solutions.