This book presents applied and validated solutions that demonstrate how intelligent technologies can be translated into real-world impact across education, healthcare, energy, and industry. Emphasis is placed on deployable models, lightweight architectures, and explainable approaches that address current operational constraints. What distinguishes this collection is its strong focus on combining artificial intelligence with sustainability, healthcare innovation, and smart industrial systems, supported by experimental evaluation and case-driven design. Contributions move beyond isolated algorithms to integrated, system-level solutions. This book covers machine learning, generative AI, edge intelligence, digital twins, renewable energy optimization, smart IoT applications, and industrial automation. It is intended for researchers, postgraduate students, and practitioners in computing and engineering. This book supports advanced study, applied research, and the development of scalable intelligent systems for modern environments.
