This book is designed for use in courses on A Handbook on Cloud Computing- Concepts, virtualization and Management at the undergraduate/postgraduate level, particularly designed for the structured curriculum of Computer Science & Engineering. Although the contents of the book follows the essential content of complete A Handbook on Cloud Computing- Concepts, virtualization and Management is sufficiently broad in scope and rigorous in coverage to satisfy any undergraduate and postgraduate requirements in the field of Computer Science & Engineering. The book is organized into eight sections:...

Machine Learning Applications in Mechanical Engineering is a comprehensive guide exploring the transformative role of machine learning (ML) across key domains in mechanical engineering. It combines theoretical insights and practical applications to address design optimization, predictive maintenance, robotics, material discovery, and energy systems, making it invaluable for students, researchers, and professionals.The book begins with an introduction to ML, highlighting its relevance and challenges in mechanical engineering. It explores learning models like supervised, unsupervised, and...

The exponential growth of data generated from cameras, sensors, social media, and the public web has created both opportunities and challenges. While this data holds immense potential for extracting meaningful insights, its heterogeneity and volume make processing and analysis a daunting task. Among the various data formats, video data has emerged as a critical area of focus due to its widespread applications in surveillance, healthcare, security, smart cities, traffic management, and more.Analysis of Multi-Source Data Streaming with Soft Computing," is a culmination of our research and...

Soft computing is a powerful approach to artificial intelligence that enables intelligent systems to handle uncertainty, imprecision, and complexity through techniques such as fuzzy logic, neural networks, evolutionary computing, and probabilistic reasoning. Unlike traditional models, soft computing leverages approximation, learning, and optimization for adaptive decision-making, making it essential in fields like healthcare, finance, robotics, and cloud computing. This book bridges the gap between theory and practice by providing a structured exploration of fundamental concepts, hybrid...

Machine Learning Applications in Mechanical Engineering est un guide complet qui explore le rôle transformateur de l'apprentissage machine (ML) dans les domaines clés de l'ingénierie mécanique. Il combine des idées théoriques et des applications pratiques pour aborder l'optimisation de la conception, la maintenance prédictive, la robotique, la découverte de matériaux et les systèmes énergétiques, ce qui le rend inestimable pour les étudiants, les chercheurs et les professionnels.Le livre commence par une introduction à la ML, soulignant sa pertinence et ses défis dans le...

Machine Learning Applications in Mechanical Engineering ist ein umfassendes Handbuch, das die transformative Rolle des maschinellen Lernens (ML) in wichtigen Bereichen des Maschinenbaus untersucht. Es kombiniert theoretische Erkenntnisse und praktische Anwendungen in den Bereichen Konstruktionsoptimierung, vorausschauende Wartung, Robotik, Materialerkennung und Energiesysteme und ist damit für Studenten, Forscher und Fachleute von unschätzbarem Wert. Das Buch beginnt mit einer Einführung in ML, die die Relevanz und die Herausforderungen im Maschinenbau hervorhebt. Es erforscht Lernmodelle...