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Published by Engineering Science Reference, 2020
ISBN 10: 179983641X ISBN 13: 9781799836414
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Published by Engineering Science Reference, 2020
ISBN 10: 179983641X ISBN 13: 9781799836414
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Published by Engineering Science Reference, 2020
ISBN 10: 179983641X ISBN 13: 9781799836414
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Published by Engineering Science Reference, 2020
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Published by John Wiley & Sons Inc, New York, 2025
ISBN 10: 1394272596 ISBN 13: 9781394272594
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Hardcover. Condition: new. Hardcover. Master the cutting-edge field of computer vision and artificial intelligence with this accessible guide to the applications of machine learning and deep learning for real-world solutions in robotics, healthcare, and autonomous systems. Applied Computer Vision through Artificial Intelligence provides a thorough and accessible exploration of how machine learning and deep learning are driving breakthroughs in computer vision. This book brings together contributions from leading experts to present state-of-the-art techniques, tools, and frameworks, while demonstrating this technologys applications in healthcare, autonomous systems, surveillance, robotics, and other real-world domains. By blending theory with hands-on insights, this volume equips readers with the knowledge needed to understand, design, and implement AI-powered vision solutions. Structured to serve both academic and professional audiences, the book not only covers cutting-edge algorithms and methodologies but also addresses pressing challenges, ethical considerations, and future research directions. It serves as a comprehensive reference for researchers, engineers, practitioners, and graduate students, making it an indispensable resource for anyone looking to apply artificial intelligence to solve complex computer vision problems in todays data-driven world. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Language: English
Published by John Wiley & Sons Inc, New York, 2025
ISBN 10: 1394272596 ISBN 13: 9781394272594
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Hardcover. Condition: new. Hardcover. Master the cutting-edge field of computer vision and artificial intelligence with this accessible guide to the applications of machine learning and deep learning for real-world solutions in robotics, healthcare, and autonomous systems. Applied Computer Vision through Artificial Intelligence provides a thorough and accessible exploration of how machine learning and deep learning are driving breakthroughs in computer vision. This book brings together contributions from leading experts to present state-of-the-art techniques, tools, and frameworks, while demonstrating this technologys applications in healthcare, autonomous systems, surveillance, robotics, and other real-world domains. By blending theory with hands-on insights, this volume equips readers with the knowledge needed to understand, design, and implement AI-powered vision solutions. Structured to serve both academic and professional audiences, the book not only covers cutting-edge algorithms and methodologies but also addresses pressing challenges, ethical considerations, and future research directions. It serves as a comprehensive reference for researchers, engineers, practitioners, and graduate students, making it an indispensable resource for anyone looking to apply artificial intelligence to solve complex computer vision problems in todays data-driven world. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Add to basketHardback. Condition: New. Managing solid waste is one of the biggest challenges in urban areas around the world. Technologically advanced economies generate vast amounts of organic waste materials, many of which are disposed of in landfills. In the future, efficient use of carbon-containing waste and all other waste materials must be increased to reduce the need for virgin raw materials acquisition, including biomass, and reduce carbon emissions to the atmosphere, mitigating climate change. Moreover, expeditious development in information and communications technology (ICT) has made the machines more powerful and efficient, but at the same time, there is a simultaneous decrease in product life leading to an extensive rise in the annual production of e-waste, or electronic waste. Considering the health hazards and environmental implications of e-waste, it has become a global problem that needs serious attention.Safe Disposal Methods of Municipal Solid Wastes for a Sustainable Environment covers waste management principles and strategies in different fields and corresponding applications. The book also focuses on the waste management strategies for a sustainable environment that have emerged. Covering key topics such as waste, energy, and recycling, this premier reference source is an excellent resource for environmentalists, government officials, researchers, scholars, academicians, practitioners, instructors, and students.
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Published by John Wiley & Sons Inc, New York, 2025
ISBN 10: 1394272596 ISBN 13: 9781394272594
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Hardcover. Condition: new. Hardcover. Master the cutting-edge field of computer vision and artificial intelligence with this accessible guide to the applications of machine learning and deep learning for real-world solutions in robotics, healthcare, and autonomous systems. Applied Computer Vision through Artificial Intelligence provides a thorough and accessible exploration of how machine learning and deep learning are driving breakthroughs in computer vision. This book brings together contributions from leading experts to present state-of-the-art techniques, tools, and frameworks, while demonstrating this technologys applications in healthcare, autonomous systems, surveillance, robotics, and other real-world domains. By blending theory with hands-on insights, this volume equips readers with the knowledge needed to understand, design, and implement AI-powered vision solutions. Structured to serve both academic and professional audiences, the book not only covers cutting-edge algorithms and methodologies but also addresses pressing challenges, ethical considerations, and future research directions. It serves as a comprehensive reference for researchers, engineers, practitioners, and graduate students, making it an indispensable resource for anyone looking to apply artificial intelligence to solve complex computer vision problems in todays data-driven world. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Add to basketHardback. Condition: New. Managing solid waste is one of the biggest challenges in urban areas around the world. Technologically advanced economies generate vast amounts of organic waste materials, many of which are disposed of in landfills. In the future, efficient use of carbon-containing waste and all other waste materials must be increased to reduce the need for virgin raw materials acquisition, including biomass, and reduce carbon emissions to the atmosphere, mitigating climate change. Moreover, expeditious development in information and communications technology (ICT) has made the machines more powerful and efficient, but at the same time, there is a simultaneous decrease in product life leading to an extensive rise in the annual production of e-waste, or electronic waste. Considering the health hazards and environmental implications of e-waste, it has become a global problem that needs serious attention.Safe Disposal Methods of Municipal Solid Wastes for a Sustainable Environment covers waste management principles and strategies in different fields and corresponding applications. The book also focuses on the waste management strategies for a sustainable environment that have emerged. Covering key topics such as waste, energy, and recycling, this premier reference source is an excellent resource for environmentalists, government officials, researchers, scholars, academicians, practitioners, instructors, and students.
Language: English
Published by Engineering Science Reference, 2020
ISBN 10: 179983641X ISBN 13: 9781799836414
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Published by Engineering Science Reference, 2020
ISBN 10: 1799836401 ISBN 13: 9781799836407
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Language: English
Published by Engineering Science Reference, 2020
ISBN 10: 179983641X ISBN 13: 9781799836414
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Language: English
Published by Engineering Science Reference, 2020
ISBN 10: 179983641X ISBN 13: 9781799836414
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Covers existing and future possibilities of the area as well as the current challenges presented in the implementation of underwater sensor networks. The book highlights a range of topics, including digital signal processing, underwater localization, and ac.
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Add to basketHRD. 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.
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