Computational Intelligence and Smart Technologies: Theory and Practice - Volume 2

Computational Intelligence and Smart Technologies: Theory and Practice, Volume 2 is a multidisciplinary academic and professional reference exploring the design, application, and interpretation of intelligent computational systems. Bringing together thirteen research-oriented chapters, the volume examines practical developments across artificial intelligence, machine learning, deep learning, computer vision, the Internet of Things, predictive analytics, and data-driven decision-making.     

The book addresses a diverse range of real-world applications. Its opening chapters explore an IoT-enabled smart cradle for infant monitoring, AI-driven face-recognition attendance management, and stock-price forecasting. Further contributions examine plant-disease prediction, machine-learning-based fake-news detection, intelligent crop and fertilizer recommendations, T-shirt measurement through computer vision, and crop-yield forecasting. The later chapters focus on AI-assisted tumor malignancy assessment, geospatial vehicle detection, explainable diabetic retinopathy analysis, real-time hand-gesture recognition, and deep convolutional neural networks for breast-cancer detection.

A central feature of the volume is its emphasis on translating computational techniques into practical systems. The chapters discuss proposed architectures, methodological approaches, algorithms, implementation frameworks, evaluation strategies, limitations, and directions for future research.

Designed for students, educators, researchers, engineers, developers, and practitioners, the book provides a useful bridge between computational theory and applied intelligent technologies. Its interdisciplinary scope makes it relevant to readers interested in smart healthcare, agriculture, financial forecasting, automation, digital information systems, computer vision, and emerging AI-driven applications.