AI and IoT in Engineering, Life Science, and Healthcare (Innovations in Intelligent Internet of Everything IoE)

AI and IoT in Engineering, Life Science, and Healthcare presents an integrated, application-focused exploration of how intelligent algorithms and connected sensing systems are jointly designed, deployed, and evaluated to solve real-world challenges across engineering workflows, biological research, and clinical practice. Readers will gain a clear, practice-oriented understanding of how to build end-to-end solutions-from data acquisition with IoT devices to model development, deployment, and validation-supported by concise explanations, case studies, and reproducible workflows.The book explains how to select appropriate sensors, design data pipelines, apply learning models, and assess performance using relevant metrics, while addressing interoperability, scalability, and reliability.It also covers implementation considerations such as edge vs. cloud processing, system integration, and lifecycle management.By combining conceptual clarity with step-by-step examples and applied scenarios,