deep learning applications remote (32 risultati)

Condizione: New. pp. 260.

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Condizione: New. pp. 260.

Condizione: New. pp. 260.

Paperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.

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Condizione: New. Illustrates the innovative concepts, methodologies and frameworks that will increase the feasibility of the existing telemedicine system Focuses on showcasing prototypes of remote healthcare systemsRedaktion: D. Jude Hema.

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Taschenbuch. Condizione: Neu. Telemedicine Technologies | Big Data, Deep Learning, Robotics, Mobile and Remote Applications for Global Healthcare | D. Jude Hemanth (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2019 | Academic Press | EAN 9780128169483 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

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paperback. Condizione: New. Language:Chinese.Paperback. Pub Date: 2024-08 Pages: 220 Publisher: National Defense Industry Press This book comprehensively explains the application of deep learning algorithms such as Convolutional Neural Networks (CNN). single-stage object detection. two-stage object detection. multi-scale fusion. attention mechanisms. and semantic segmentation in remote sensing image classification. detection. segmentation. and extraction. It introduces the principles of various deep learning models and .

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Paperback. Condizione: Brand New. 250 pages. 9.25x7.50x0.75 inches. In Stock. This item is printed on demand.

Paperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

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. As the threat of climate change intensifies, environmental monitoring has now become more critical. Remote sensing enables the extraction of complex patterns and insights from vast amounts of satellite and aerial imagery. These advanced algorithms enhance the detection, classification, and prediction of climate-related phenomena such as deforestation, glacial retreat, sea-level rise, and extreme weather events. Deep Learning Applications in Remote Sensing for Climate Change Monitoring explores deep learning techniques and remote sensing technology to monitor climate change. It provides cutting-edge research, methodologies, and real-world applications of deep learning in remote sensing for monitoring and mitigating climate change. Covering topics such as climate science, remote sensing, and deep learning tools, this book is an excellent resource researcher and academicians in remote sensing, climate science, and deep learning, as well as policymakers, industry professionals, and international organizations working in sustainability and climate resilience. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

HRD. 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.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Telemedicine Technologies: Big Data, Deep Learning, Robotics, Mobile and Remote Applications for Global Healthcare illustrates the innovative concepts, methodologies and frameworks that will increase the feasibility of the existing telemedicine system. The book also focuses on showcasing prototypes of remote healthcare systems, thus emphasizing the data processing side that is often recognized as the backbone of any telemedicine system.

Paperback. Condizione: new. Paperback. As the threat of climate change intensifies, environmental monitoring has now become more critical. Remote sensing enables the extraction of complex patterns and insights from vast amounts of satellite and aerial imagery. These advanced algorithms enhance the detection, classification, and prediction of climate-related phenomena such as deforestation, glacial retreat, sea-level rise, and extreme weather events. Deep Learning Applications in Remote Sensing for Climate Change Monitoring explores deep learning techniques and remote sensing technology to monitor climate change. It provides cutting-edge research, methodologies, and real-world applications of deep learning in remote sensing for monitoring and mitigating climate change. Covering topics such as climate science, remote sensing, and deep learning tools, this book is an excellent resource researcher and academicians in remote sensing, climate science, and deep learning, as well as policymakers, industry professionals, and international organizations working in sustainability and climate resilience. 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. Condizione: new. Hardcover. As the threat of climate change intensifies, environmental monitoring has now become more critical. Remote sensing enables the extraction of complex patterns and insights from vast amounts of satellite and aerial imagery. These advanced algorithms enhance the detection, classification, and prediction of climate-related phenomena such as deforestation, glacial retreat, sea-level rise, and extreme weather events. Deep Learning Applications in Remote Sensing for Climate Change Monitoring explores deep learning techniques and remote sensing technology to monitor climate change. It provides cutting-edge research, methodologies, and real-world applications of deep learning in remote sensing for monitoring and mitigating climate change. Covering topics such as climate science, remote sensing, and deep learning tools, this book is an excellent resource researcher and academicians in remote sensing, climate science, and deep learning, as well as policymakers, industry professionals, and international organizations working in sustainability and climate resilience. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condizione: new. Hardcover. As the threat of climate change intensifies, environmental monitoring has now become more critical. Remote sensing enables the extraction of complex patterns and insights from vast amounts of satellite and aerial imagery. These advanced algorithms enhance the detection, classification, and prediction of climate-related phenomena such as deforestation, glacial retreat, sea-level rise, and extreme weather events. Deep Learning Applications in Remote Sensing for Climate Change Monitoring explores deep learning techniques and remote sensing technology to monitor climate change. It provides cutting-edge research, methodologies, and real-world applications of deep learning in remote sensing for monitoring and mitigating climate change. Covering topics such as climate science, remote sensing, and deep learning tools, this book is an excellent resource researcher and academicians in remote sensing, climate science, and deep learning, as well as policymakers, industry professionals, and international organizations working in sustainability and climate resilience. 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. Condizione: new. Paperback. As the threat of climate change intensifies, environmental monitoring has now become more critical. Remote sensing enables the extraction of complex patterns and insights from vast amounts of satellite and aerial imagery. These advanced algorithms enhance the detection, classification, and prediction of climate-related phenomena such as deforestation, glacial retreat, sea-level rise, and extreme weather events. Deep Learning Applications in Remote Sensing for Climate Change Monitoring explores deep learning techniques and remote sensing technology to monitor climate change. It provides cutting-edge research, methodologies, and real-world applications of deep learning in remote sensing for monitoring and mitigating climate change. Covering topics such as climate science, remote sensing, and deep learning tools, this book is an excellent resource researcher and academicians in remote sensing, climate science, and deep learning, as well as policymakers, industry professionals, and international organizations working in sustainability and climate resilience. 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.