دانلود کتاب الگوریتم‌ها برای فناوری‌های دنیای هوشمند -راهنمای جامع کاربردها در هوش مصنوعی

The rapid advancements in technology over the last few decades have fundamentally reshaped our world, ushering in an era that we now recognize as the Smart World. From smart cities and intelligent transportation to personalized healthcare and precision agriculture, this new paradigm is driven by complex systems, interconnected devices, and vast quantities of data. At the heart of this transformation lie algorithms—powerful tools that enable efficient decision-making, optimization, prediction, and communication in the face of immense complexity. This book, Algorithms for Smart World Technologies, has been meticulously crafted to serve as a comprehensive guide for understanding and leveraging the algorithms that power the Smart World. The treatise is divided into three major parts, each addressing distinct but interconnected aspects of algorithmic design, complexity, and application in modern technologies. Our goal is to provide students, researchers, and practitioners with the conceptual foundations, practical insights, and cutting-edge advancements needed to excel in this dynamic and rapidly evolving field. Part I: Complexities of Smart Algorithms The first part of the book delves into the inherent complexities associated with algorithms in the Smart World. Chapter 1 provides a foundational introduction to the concept of complexity, discussing its manifestations in complex systems, key features, challenges, and future research directions. Subsequent chapters explore topics, such as computational complexity (Chapter 2), communication complexity (Chapter 3), and data complexity (Chapter 4), offering insights into how these complexities shape algorithmic performance. Chapter 5 introduces risk measures, addressing pressing issues, such as algorithmic bias, fairness, and green computing, while Chapter 6 concludes the section with an in-depth discussion on the ethical boundaries of algorithmic decision-making and morality. Part II: Algorithmic Paradigms for Smart World Technologies The second part shifts focus to the core algorithmic paradigms underpinning Smart World technologies. Chapter 7 introduces the overarching themes of smart algorithms, including machine learning, optimization, Internet of Things (IoT) algorithms, and their roadmap for scalability, security, and sustainability. Subsequent chapters present specialized topics, such as optimization algorithms (Chapter 8), covering techniques like convex optimization and linear programming, and decision-making algorithms (Chapter 9), exploring reinforcement learning and Markov decision processes. Chapter 10 delves into prediction algorithms, including regression, classification, Bayesian algorithms, and neural networks, while Chapter 11 discusses secure algorithms, emphasizing cryptographic protocols, blockchain, and digital signatures.