Название: Smart Factories for Industry 5.0 Transformation Автор: R. Nidhya, Manish Kumar, S. Karthik, Rishabh Anand, S. Balamurugan Издательство: Wiley-Scrivener Год: 2025 Страниц: 347 Язык: английский Формат: pdf (true) Размер: 25.2 MB
Smart Factories for Industry 5.0 Transformation provides a thorough examination of the history of Industry 5.0. The purpose of this book is intended to help readers manage new industrial revolution problems and manage opportunities. As an essential tool for maximizing the potential of Industry 5.0, the book goes beyond a simple technical explanation and investigates the wider effects of international supply chains and socioeconomic fallout. The book offers readers of any experience level the opportunity to capture the innovative spirit of teamwork and creativity that characterizes the Industry 5.0 era. It is a useful manual for putting Industry 5.0 ideas into practice and influencing the changing direction of the industrial environment.
Throughout the incisive book, readers will travel through the history of industry, from the early mechanization eras to the emergence of Industry 5.0's new cutting-edge technologies. With the goal of inspiring and guiding readers toward Industry 5.0 knowledge, each chapter provides practical techniques and real-world examples ranging from improving supply chain management to optimizing production processes. Delve into topics on technological underpinnings, operational optimization tactics, and more on the evolution of Industry 5.0. Additionally, the book includes discussions on how Industry 5.0 analyzes healthcare data using fuzzy-supported Machine Learning algorithms and utilizing Machine Learning algorithms to extract relevant insights from voice patterns.
Chapter 1 explores the evolution of Industry 5.0, which emerged after the widespread benefits of Industry 4.0 in the past decade.
Chapter 2 discusses Artificial Intelligence (AI) in healthcare, marking a new era of personalized medicine driven by heuristic reasoning. AI algorithms can analyze complex healthcare data, enabling customized interventions.
Chapter 3 provides an in-depth survey of the Internet of Things (IoT), focusing on the role of edge devices in data collection and transmission. It explores the challenges of securing wireless communication for these dispersed, resource-constrained devices, examining protocols, encryption methods, and intrusion detection systems.
Chapter 4 introduces the use of Deep Learning technologies to improve accuracy and efficiency in healthcare diagnostics.
Chapter 5 explores personalized recommendation systems, focusing on a novel method combining Bayesian Personalized Ranking (BPR) with deep item-based collaborative filtering for book recommendations.
By exploring the transformative power of Industry 5.0, this volume highlights how cutting-edge technologies like AI, IoT, and Machine Learning are revolutionizing industries such as healthcare, agriculture, cybersecurity, and more.
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