Singla manish (17 Ergebnisse)

Zustand: New.

Zustand: New.

Zustand: New.

Zustand: New.

Zustand: New.

Zustand: New.

Zustand: New.

Zustand: New.

Paperback. Zustand: new. Paperback. Sustainable Energy Systems: Planning, Integration and Management provides integrated perspectives on engineering, management, and technological perspectives to examine how renewable energy sources, smart grids, artificial intelligence, and advanced forecasting methods can be effectively planned, integrated, and managed within contemporary energy infrastructures. The book begins by introducing AI-enabled smart grid systems and their role in improving energy efficiency, reliability, and grid optimisation. The book highlights the technology, storage and working principles behind major renewable energy sources, including solar, wind, hydro, geothermal, and biomass. Chapters also focus on the use of computational intelligence in forecasting, management and optimisation of major energy sources. The book examines frameworks, principles, supply chains, and policy-driven approaches to sustainable energy governance. Real-world case studies on energy management provide practical insights into scalable and implementable solutions. By combining theoretical foundations with applied case studies and modern digital technologies, this book serves as an essential resource for understanding the planning, integration, and management of sustainable energy systems in the era of intelligent and renewable-powered infrastructure. Key Features: -Comprehensive coverage of renewable energy technologies, including solar, wind, hydro, geothermal, biomass, and hydrogen energy -Exploration of AI-enabled smart grids, energy forecasting, and intelligent energy management systems -Integration of Industry 4.0, machine learning, and digital technologies in energy optimisation and planning -Detailed discussion on hybrid renewable systems, energy storage, and grid integration strategies This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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

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

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Garg ManishManish Garg received his M. Sc. and Ph. D. in Physics respectively in 2009 and 2014 from Punjabi University, Patiala, India. Presently, he is working as Lecturer in the Physics Department at S. D. College, Barnala, India. .…

PAP. Zustand: 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. Zustand: new. Paperback. Advanced Imaging Applications for Interdisciplinary Engineering is a multidisciplinary exploration of the applications of A.I based imaging technologies and predictive modelling across nanotechnology, quantum imaging, and environmental science. It covers AI-based image analysis and machine learning applications and innovations in nanoparticle-enhanced diagnostic imaging across modalities such as MRI, CT, and ultrasound. The book also explores quantum imaging techniques, including entanglement-based and ghost imaging, alongside applied computational models for tasks like air quality forecasting. Additional contributions include AI-driven traffic surveillance, image enhancement methods, and blockchain-based healthcare systems for secure data management. The final sections address environmental studies, including waste analysis and groundwater contamination assessment. Overall, the volume bridges theory and real-world applications across healthcare, environmental monitoring, and intelligent systems. Key Features: -Multidisciplinary coverage spanning artificial intelligence, nanotechnology, quantum imaging, and environmental science. -Detailed insights into advanced imaging techniques, including CT, MRI, PET/SPECT, and quantum imaging methods. -Integrated perspectives on machine learning models for predictive analytics, image enhancement, and environmental forecasting. -Explores blockchain-based healthcare frameworks for secure and interoperable data management. -Combines theoretical foundations with practical case studies and real-world applications to provide experimental analysis across medical diagnostics, environmental monitoring, and infrastructure surveillance. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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

Paperback. Zustand: new. Paperback. Sustainable Energy Systems: Planning, Integration and Management provides integrated perspectives on engineering, management, and technological perspectives to examine how renewable energy sources, smart grids, artificial intelligence, and advanced forecasting methods can be effectively planned, integrated, and managed within contemporary energy infrastructures. The book begins by introducing AI-enabled smart grid systems and their role in improving energy efficiency, reliability, and grid optimisation. The book highlights the technology, storage and working principles behind major renewable energy sources, including solar, wind, hydro, geothermal, and biomass. Chapters also focus on the use of computational intelligence in forecasting, management and optimisation of major energy sources. The book examines frameworks, principles, supply chains, and policy-driven approaches to sustainable energy governance. Real-world case studies on energy management provide practical insights into scalable and implementable solutions. By combining theoretical foundations with applied case studies and modern digital technologies, this book serves as an essential resource for understanding the planning, integration, and management of sustainable energy systems in the era of intelligent and renewable-powered infrastructure. Key Features: -Comprehensive coverage of renewable energy technologies, including solar, wind, hydro, geothermal, biomass, and hydrogen energy -Exploration of AI-enabled smart grids, energy forecasting, and intelligent energy management systems -Integration of Industry 4.0, machine learning, and digital technologies in energy optimisation and planning -Detailed discussion on hybrid renewable systems, energy storage, and grid integration strategies This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Zustand: new. Paperback. Advanced Imaging Applications for Interdisciplinary Engineering is a multidisciplinary exploration of the applications of A.I based imaging technologies and predictive modelling across nanotechnology, quantum imaging, and environmental science. It covers AI-based image analysis and machine learning applications and innovations in nanoparticle-enhanced diagnostic imaging across modalities such as MRI, CT, and ultrasound. The book also explores quantum imaging techniques, including entanglement-based and ghost imaging, alongside applied computational models for tasks like air quality forecasting. Additional contributions include AI-driven traffic surveillance, image enhancement methods, and blockchain-based healthcare systems for secure data management. The final sections address environmental studies, including waste analysis and groundwater contamination assessment. Overall, the volume bridges theory and real-world applications across healthcare, environmental monitoring, and intelligent systems. Key Features: -Multidisciplinary coverage spanning artificial intelligence, nanotechnology, quantum imaging, and environmental science. -Detailed insights into advanced imaging techniques, including CT, MRI, PET/SPECT, and quantum imaging methods. -Integrated perspectives on machine learning models for predictive analytics, image enhancement, and environmental forecasting. -Explores blockchain-based healthcare frameworks for secure and interoperable data management. -Combines theoretical foundations with practical case studies and real-world applications to provide experimental analysis across medical diagnostics, environmental monitoring, and infrastructure surveillance. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…