Based on original research and case experience, this book presents a structured approach to making the important decisions for developing a make or buy strategy for manufacturing business.

Design thinking represents a novel methodology for developing projects. Instead of focusing on the project itself, the main driver is the end user. The book takes the trainee engineer through the various stages of design thinking and provides case studies and tools for them to use to practice.

Starting with the theory and fundamentals behind antenna booster design and matching networks, the authors show readers how to put theory into practice to design antenna systems on wireless platforms and multiband design for wireless device operations with optimized matching networks either passive or active.

In this comprehensive edited book, the authors introduce edge caching from a theoretical perspective and discuss its role in saving bandwidth. Many physical layer models and techniques, including interference alignment and beamforming, are considered as well as recent advances in intelligent and proactive communication systems.

This edited book examines the application of blockchain technology and machine learning algorithms in various healthcare settings. This book covers the basic concepts of Blockchain and Machine Learning, and explores these issues with an eye on improving clinical outcomes and improving the patient's experience.

This two-volume book set explores how sensors and computer vision technologies are used for the navigation, control, stability, reliability, guidance, fault detection, self-maintenance, strategic re-planning and reconfiguration of unmanned aircraft systems (UAS).

This two-volume book set explores how sensors and computer vision technologies are used for the navigation, control, stability, reliability, guidance, fault detection, self-maintenance, strategic re-planning and reconfiguration of unmanned aircraft systems (UAS).

Serving as a bridge between researchers in the computing domain and computing hardware designers, this book presents ReRAM techniques for distributed computing using IMC accelerators, ReRAM-based IMC architectures for machine learning (ML) and data-intensive applications, and strategies to map ML designs onto hardware accelerators.