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Paperback. Zustand: new. Paperback. The evolution of wireless communication has been nothing short of revolutionary. From the early analog systems to the era of 5G and the emerging vision of 6G, each generation has brought unprecedented connectivity, speed, and access. As we now look toward the horizon of Seventh Generation (7G) wireless communication, it becomes increasingly evident that Artificial Intelligence (AI) will be the foundational pillar of this next wave of technological advancement. This book, Role of Artificial Intelligence in 7G Wireless Communication, is a forward-looking exploration into how AI and Machine Learning (ML) technologies will redefine mobile and wireless networks in the 7G era. Unlike previous generations that primarily focused on hardware and bandwidth enhancements, 7G is expected to be intelligent by design-autonomous, adaptive, predictive, and capable of self-optimization at unprecedented levels. AI will no longer be a peripheral tool; it will be embedded into the core infrastructure of communication networks, driving performance, efficiency, and new applications beyond imagination.Organized into twelve comprehensive chapters, this book provides a structured journey through the key domains shaping 7G wireless communications: Chapter 1 introduces the foundational role of AI in 7G systems, laying the groundwork for deeper exploration.Chapter 2 examines how AI integrates with wireless networks, from intelligent routing to dynamic spectrum management.Chapter 3 outlines the conceptual vision of 7G, including cross-layer intelligence and integration of terrestrial, aerial, and space-based networks.Chapter 4 focuses on the next phase of mobile connectivity, exploring what truly differentiates 7G from its predecessors.Chapter 5 offers a historical perspective, tracing the development of mobile communication and setting the stage for 7G.Chapter 6 discusses the inevitability of intelligent communication and how AI accelerates this paradigm shift.Chapter 7 dives into the technical and architectural innovations driving seventh-generation cellular technology.Chapter 8 showcases emerging innovations in 7G networks, including edge intelligence, swarm networking, and more.Chapter 9 explores high-speed internet access and the role of intelligent connectivity in enabling ultra-fast, low-latency communication.Chapter 10 highlights Terahertz (THz) communication, a key enabler for ultra-high data rates and 7G performance goals.Chapter 11 explores Generative AI's transformative role in network design, traffic modeling, anomaly detection, and beyond.Chapter 12 addresses real-world challenges in AI/ML-based network design and offers insight into practical solutions for scalability, security, and sustainability.This book is intended for students, researchers, engineers, and professionals who are keen to understand not only the technical dimensions of 7G and AI, but also the broader implications for society, industry, and global connectivity. It brings together current research, futuristic visions, and practical frameworks to foster deeper understanding and encourage further innovation.As we enter a new era where machines communicate, learn, and make decisions alongside humans, AI-powered 7G wireless communication will be the bedrock of the future digital world-seamless, autonomous, and truly intelligent.We hope this work provides valuable insights and ignites curiosity, research, and development in this exciting field. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Paperback. Zustand: new. Paperback. Artificial Intelligence (AI) is essentially transforming data analytics by making it quicker, more accurate, more efficient, and more insightful. Businesses use data as a motivator, using it to inform decisions about the future based on performance to date. Large Language Models (LLMs) are sophisticated artificial intelligence (AI) systems that use deep learning to comprehend large datasets, create content, summarize data, and make predictions. The need for data analysts has increased along with the importance of data analytics in today's data-driven world. If you are seeking to grasp the basics of data analytics, Data Analytics Essentials is a thorough yet concise guide that is ideal for you. Get started and learn how to collect data efficiently, guarantee repeatability, perform in-depth literature reviews, alter data, and clearly communicate your findings. There are eight chapters in this "Role of AI in Data Analytics" textbook: Chapter 1: Introduction of Data AnalyticsChapter 2: Data AnalysisChapter 3: Applications of Data AnalyticsChapter 4: Digital Data and Data ScienceChapter 5: Big Data and Management Chapter 6: Statistical MeasuresChapter 7: Predictive AnalyticsChapter 8: Role of AI in Data AnalyticsAfter finishing this book, you will receive: [1] A basic understanding of data analytics, including its various forms[2] Knowledge of data analytics procedures, and various analytics approaches[3] An examination of the potential and difficulties of the broad subject of big data analytics[4] Knowledge of current legal frameworks, as well as privacy and ethics concerns data analytics[5] Applying a range of real-world case studies to application-based learning Research and data analysts are examples of career professionals moving from academia to a workplace where career advancement is greatly impacted by production quality. Beyond just a theoretical guidebook, Data Analytics Essentials includes fun facts and real-world case studies to help you learn more. Regardless of your level of experience, this book will help you advance from novice to proficient data analyst-one clean dataset at a time. Beginners who work with data and those who need to understand how to interpret their consumer or corporate data should read this book. High-level ideas that are helpful to managers, such as data pipelines, machine learning, data storytelling, and visualizations, are also covered in the book. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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