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This book provides readers with innovative methodologies, practical solutions, and state-of-the-art developments that support both academic research and industrial innovation. By combining theoretical advances with real-world applications, it serves as a valuable reference for addressing current challenges, exploring emerging technologies, and identifying future research directions. The book adopts an interdisciplinary approach by presenting selected, peer-reviewed contributions spanning artificial intelligence, machine learning, blockchain technologies, communication systems, cybersecurity, the Internet of Things, cloud and edge computing, data science, software engineering, computer vision, natural language processing, healthcare technologies, smart applications, and other emerging digital technologies. Its distinctive feature is the integration of novel methodologies, optimization techniques, and practical case studies that bridge research with real-world implementation. This book is intended for researchers, academics, graduate students, engineers, and industry professionals. It serves as a valuable reference for research, graduate education, and the advancement of next-generation intelligent and secure digital technologies.