Urvashi sugandh (22 risultati)

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Taschenbuch. Condizione: Neu. Neuware - Data Analytics and Artificial Intelligence for Predictive Maintenance in Industry 4.0 unites data science, machine learning, IIOT, and AI to enable predictive and prescriptive maintenance across manufacturing, energy, transportation, agriculture, and healthcare. With contributions from leading academics and practitioners, the book bridges foundational principles with cutting-edge industrial case studies ranging from digital twins and anomaly detection to federated learning and secure healthcare analytics. Key Features: -Explains fundamental concepts of data analytics, AI, and machine learning for predictive maintenance. -Integrates IIoT, digital twins, federated learning, and blockchain into industrial maintenance strategies. -Demonstrates real-world applications across manufacturing, energy, healthcare, and agriculture sectors. -Analyzes optimization techniques, anomaly detection, condition monitoring, and RUL prediction models. -Addresses security and ethical issues, including hardware protection and homomorphic encryption for healthcare. -Maps future trends and emerging technologies driving predictive maintenance research.…

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Condizione: New. 2026. 1st Edition. hardcover. . . . . .

Condizione: New. In English.

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Buch. Condizione: Neu. Neuware - Tackle the critical challenge of sustainability in modern technology with this essential book, which provides a comprehensive, expert-led exploration of energy-aware methodologies and machine learning strategies for optimizing IoT-based wireless sensor networks. With the rapid expansion of IoT applications in diverse domains such as smart cities, agriculture, healthcare, and industry, energy constraints pose significant challenges to maintaining sustainable operations. This book addresses these challenges by presenting a comprehensive exploration of methodologies, technologies, and strategies aimed at optimizing energy usage in IoT-based wireless sensor networks. Authored by experts from academia and industry, the book covers topics such as energy-aware routing protocols, edge computing, energy harvesting technologies, machine learning applications, and blockchain-based energy management frameworks. Each chapter provides cutting-edge insights and practical approaches to fostering energy efficiency while ensuring robust and scalable IoT solutions. This book serves as a valuable resource for researchers, professionals, and policymakers, offering actionable knowledge to navigate the evolving landscape of IoT and wireless sensor network technologies. Readers will find the volume: - Explores the intersection of Internet of Things, wireless sensor networks, and energy efficiency across fundamental concepts, protocols, applications, and advanced solutions; - Features chapters by leading researchers and industry professionals, providing authoritative perspectives; - Offers actionable insights for implementing sustainable and energy-efficient IoT solutions in diverse fields like healthcare, agriculture, and smart cities; - Highlights emerging trends, including AI, machine learning, and blockchain integration in wireless sensor networks. Audience Researchers, academics, engineers, system architects, technology developers, and policymakers specializing in IoT, wireless communications, and energy-efficient systems.…

Condizione: New. 2026. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condizione: new. Paperback. Data Analytics and Artificial Intelligence for Predictive Maintenance in Industry 4.0 unites data science, machine learning, IIOT, and AI to enable predictive and prescriptive maintenance across manufacturing, energy, transportation, agriculture, and healthcare. With contributions from leading academics and practitioners, the book bridges foundational principles with cutting-edge industrial case studies ranging from digital twins and anomaly detection to federated learning and secure healthcare analytics. Key Features: -Explains fundamental concepts of data analytics, AI, and machine learning for predictive maintenance. -Integrates IIoT, digital twins, federated learning, and blockchain into industrial maintenance strategies. -Demonstrates real-world applications across manufacturing, energy, healthcare, and agriculture sectors. -Analyzes optimization techniques, anomaly detection, condition monitoring, and RUL prediction models. -Addresses security and ethical issues, including hardware protection and homomorphic encryption for healthcare. -Maps future trends and emerging technologies driving predictive maintenance research. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…