Jha Amitkumar (29 results)

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Condition: New. Dr. Bhargav Appasani received the Ph.D. (Engg.) degree from Birla Institute of Technology, Mesra, India. He is currently an Associate Professor with the School of Electronics Engineering, KIIT University, Bhubaneswar, India. He has published more .

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Hardcover. Condition: Brand New. 296 pages. 9.18x6.12x9.45 inches. In Stock.

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Buch. Condition: Neu. Neuware - Engineering Applications of AI for Demand Forecasting explores how Artificial Intelligence enhances prediction accuracy across modern engineering systems. As industries move toward Industry 4.0, the book highlights the role of AI in processing large, dynamic datasets for smarter decision-making. This book brings together contemporary research that demonstrates AI's ability to enhance precision, efficiency, and adaptability in diverse forecasting environments. By covering cybersecurity analytics, anomaly detection, logistics forecasting, sustainable supply chain management, and predictive maintenance, it demonstrates AI's versatility in complex environments. The book also showcases AI applications in renewable energy forecasting, peak load prediction, smart meter analytics, and prosumer-driven demand modeling. Combining theory with practical case studies, it serves as a valuable resource for engineers, researchers, practitioners, and students.

Hardcover. Condition: Brand New. 456 pages. 9.18x6.12x9.21 inches. In Stock.

Paperback. Condition: new. Paperback. The book covers the emerging communication and computational technologies for future cyber-physical systems and discusses the security of in-vehicle communication protocols using automotive embedded systems, presenting an in-depth analysis across various domains, such as manufacturing, transportation, health-care, and smart cities.This book:Discusses how communication and computing co-design provides dynamic adaptability and centralized control.Presents the convergence of physical and digital realities within the metaverse and multiverse, setting the stage for the future of cyber-physical-social systems (CPSS).Presents emerging communication and computational technologies, such as 6G, software-defined networking, cloud computing, blockchain, artificial intelligence, machine learning, virtual reality, and blockchain, for the design and implementation of cyber-physical systems.Explores advanced topics such as security and privacy in industrial CPS, strategies for protecting serial industrial networks, and enhancing firmware update security in automotive systems.It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science and engineering, and information technology. The book covers the emerging communication and computational technologies for future cyber-physical systems, discusses the security of in-vehicle communication protocols using automotive embedded systems, presenting an in-depth analysis across various domains such as manufacturing, transportation, healthcare, and smart cities. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condition: new. Hardcover. Engineering Applications of AI for Demand Forecasting explores how Artificial Intelligence enhances prediction accuracy across modern engineering systems. As industries move toward Industry 4.0, the book highlights the role of AI in processing large, dynamic datasets for smarter decision-making. This book brings together contemporary research that demonstrates AIs ability to enhance precision, efficiency, and adaptability in diverse forecasting environments. By covering cybersecurity analytics, anomaly detection, logistics forecasting, sustainable supply chain management, and predictive maintenance, it demonstrates AIs versatility in complex environments. The book also showcases AI applications in renewable energy forecasting, peak load prediction, smart meter analytics, and prosumer-driven demand modeling. Combining theory with practical case studies, it serves as a valuable resource for engineers, researchers, practitioners, and students. Engineering Applications of AI for Demand Forecasting explores how Artificial Intelligence enhances prediction accuracy across modern engineering systems. As industries move toward Industry 4.0, the book highlights the role of AI in processing large, dynamic datasets for smarter decision-making. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condition: new. Paperback. The book covers the emerging communication and computational technologies for future cyber-physical systems and discusses the security of in-vehicle communication protocols using automotive embedded systems, presenting an in-depth analysis across various domains, such as manufacturing, transportation, health-care, and smart cities.This book:Discusses how communication and computing co-design provides dynamic adaptability and centralized control.Presents the convergence of physical and digital realities within the metaverse and multiverse, setting the stage for the future of cyber-physical-social systems (CPSS).Presents emerging communication and computational technologies, such as 6G, software-defined networking, cloud computing, blockchain, artificial intelligence, machine learning, virtual reality, and blockchain, for the design and implementation of cyber-physical systems.Explores advanced topics such as security and privacy in industrial CPS, strategies for protecting serial industrial networks, and enhancing firmware update security in automotive systems.It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science and engineering, and information technology. The book covers the emerging communication and computational technologies for future cyber-physical systems, discusses the security of in-vehicle communication protocols using automotive embedded systems, presenting an in-depth analysis across various domains such as manufacturing, transportation, healthcare, and smart cities. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Condition: new. Hardcover. Engineering Applications of AI for Demand Forecasting explores how Artificial Intelligence enhances prediction accuracy across modern engineering systems. As industries move toward Industry 4.0, the book highlights the role of AI in processing large, dynamic datasets for smarter decision-making. This book brings together contemporary research that demonstrates AIs ability to enhance precision, efficiency, and adaptability in diverse forecasting environments. By covering cybersecurity analytics, anomaly detection, logistics forecasting, sustainable supply chain management, and predictive maintenance, it demonstrates AIs versatility in complex environments. The book also showcases AI applications in renewable energy forecasting, peak load prediction, smart meter analytics, and prosumer-driven demand modeling. Combining theory with practical case studies, it serves as a valuable resource for engineers, researchers, practitioners, and students. Engineering Applications of AI for Demand Forecasting explores how Artificial Intelligence enhances prediction accuracy across modern engineering systems. As industries move toward Industry 4.0, the book highlights the role of AI in processing large, dynamic datasets for smarter decision-making. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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

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

Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The book covers the emerging communication and computational technologies for future cyber-physical systems and discusses the security of in-vehicle communication protocols using automotive embedded systems, presenting an in-depth analysis across various domains, such as manufacturing, transportation, health-care, and smart cities.This book:Discusses how communication and computing co-design provides dynamic adaptability and centralized control.Presents the convergence of physical and digital realities within the metaverse and multiverse, setting the stage for the future of cyber-physical-social systems (CPSS).Presents emerging communication and computational technologies, such as 6G, software-defined networking, cloud computing, blockchain, artificial intelligence, machine learning, virtual reality, and blockchain, for the design and implementation of cyber-physical systems.Explores advanced topics such as security and privacy in industrial CPS, strategies for protecting serial industrial networks, and enhancing firmware update security in automotive systems.It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science and engineering, and information technology. 360 pp. Englisch.

Condition: New. PRINT ON DEMAND.

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

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

Hardcover. Condition: new. Hardcover. Engineering Applications of AI for Demand Forecasting explores how Artificial Intelligence enhances prediction accuracy across modern engineering systems. As industries move toward Industry 4.0, the book highlights the role of AI in processing large, dynamic datasets for smarter decision-making. This book brings together contemporary research that demonstrates AIs ability to enhance precision, efficiency, and adaptability in diverse forecasting environments. By covering cybersecurity analytics, anomaly detection, logistics forecasting, sustainable supply chain management, and predictive maintenance, it demonstrates AIs versatility in complex environments. The book also showcases AI applications in renewable energy forecasting, peak load prediction, smart meter analytics, and prosumer-driven demand modeling. Combining theory with practical case studies, it serves as a valuable resource for engineers, researchers, practitioners, and students. Engineering Applications of AI for Demand Forecasting explores how Artificial Intelligence enhances prediction accuracy across modern engineering systems. As industries move toward Industry 4.0, the book highlights the role of AI in processing large, dynamic datasets for smarter decision-making. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The book covers the emerging communication and computational technologies for future cyber-physical systems and discusses the security of in-vehicle communication protocols using automotive embedded systems, presenting an in-depth analysis across various domains, such as manufacturing, transportation, health-care, and smart cities.This book:Discusses how communication and computing co-design provides dynamic adaptability and centralized control.Presents the convergence of physical and digital realities within the metaverse and multiverse, setting the stage for the future of cyber-physical-social systems (CPSS).Presents emerging communication and computational technologies, such as 6G, software-defined networking, cloud computing, blockchain, artificial intelligence, machine learning, virtual reality, and blockchain, for the design and implementation of cyber-physical systems.Explores advanced topics such as security and privacy in industrial CPS, strategies for protecting serial industrial networks, and enhancing firmware update security in automotive systems.It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science and engineering, and information technology.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Amitkumar V. Jha received his MTech degree from the Indian Institute of Industrial Technology, Guwahati, India, and his PhD degree from the Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, India. He has working as an assistant profe.