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It delves into AI's applications in sustainable energy systems, biomedical innovations, image processing, cyber-security, and other critical domains, showcasing its ability to solve complex challenges with precision and creativity.\u003c\/p\u003e\u003cp\u003eThe content bridges theoretical foundations with practical implementations, incorporating case studies that highlight successful applications of AI-driven design optimization. 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This edited volume presents a diverse collection of chapters that blend classical theories with advanced computational methods and emerging technologies to address a wide spectrum of thermal-fluid phenomena.\u003c\/p\u003e\u003cp\u003eCovering foundational concepts as well as cutting-edge research, the book introduces readers to the fundamental principles of heat transfer and fluid mechanics, followed by in-depth discussions on non-Newtonian fluid models, nanofluid and hybrid nanofluid behaviors, magnetic and chemical interactions, and micropolar and porous media flows. A distinctive feature of this volume is the integration of advanced numerical techniques—including similarity transformations, finite difference solvers, special functions, and fractional calculus—with optimization strategies and machine learning tools.\u003c\/p\u003e\u003cp\u003eSpecial emphasis is placed on biomedical flows, multiphase systems, and the application of artificial intelligence in modeling and prediction. 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