Books in the Science, Technology, and Management series

This multi-contributed handbook will contain chapters covering IoT and Big Data, as well as case studies. The book will play a key role for the reader to understand the current scenario and growing paradigm.

This book covers developments and advances of algorithm based optimization techniques These techniques were only used for non-engineering problems. This book applies them to engineering problems.

This book investigates design and management of digital manufacturing and assembly of products using Industry 4.0 technologies. It covers machine learning and AI processes, additive manufacturing, virtualization and simulation techniques, and other technologies. Includes case studies of modelling, simulation and optimization.

This book is about the Integration of Process Planning and Scheduling (IPPS) functions involving various machining environments. Fundamentals are presented, as well as benchmarking programs, to developed IPPS problems. The book is also for both beginners as well as advanced researchers in the field of manufacturing systems.

This book focuses on high-k materials for advanced FET devices. It discusses emerging challenges in the engineering and applications and considers issues with associated technologies.

This book discusses advanced materials and manufacturing processes with insights and overviews on tribology, automation, mechanical, biomedical, and aerospace engineering, and optimization of industrial applications. The book explores the different types of composite materials as well as reporting on the design considerations.

This book addresses topics related to AI, machine learning, deep learning, and cloud computing in materials science. It brings together researchers, developers, practitioners, and users to explore new ideas, techniques, and tools, and to exchange their experiences.