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Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.09.
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Condition: New.
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Condition: New. pages cm First edition Includes bibliographical references.
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Condition: New. pages cm.
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Condition: As New. Unread book in perfect condition.
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Green Computing for Sustainable Smart Cities (Paperback)
Published by Taylor & Francis Ltd, London, 2025
ISBN 10: 1032483962 ISBN 13: 9781032483962
Language: English
Paperback. Condition: new. Paperback. Information and communication technology and the Internet of Things play key roles in smart city projects. It is challenging to handle the large amount of data generated by the different processes related to land use, the environment, the social and economic milieu, energy consumption, and transportation. This book emphasizes that green computing-based infrastructure initiatives benefit not only the environment but the enterprise as well.Green Computing for Sustainable Smart Cities: A Data Analytics Applications Perspective covers the need for smart green computing from various engineering disciplines and offers diversified applications for such computing with cases studies. The book highlights the sustainable development of smart cities using recent technology and emphasizes advances and cutting-edge techniques throughout. Focused on the different tools, platforms, and techniques associated with smart green computing, this book presents multiple perspectives from academia, industry, and research fields.The primary audience for this book includes academics, researchers, graduate students, smart city industry practitioners, and city administrators who are engaged in smart cities and related technology. Green Computing for Sustainable Smart Cities: A Data Analytics Applications Perspective covers the need for smart green computing from various engineering disciplines and offers diversified applications for smart green computing with use cases. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Handbook on Federated Learning (Paperback)
Published by Taylor & Francis Ltd, London, 2025
ISBN 10: 1032471638 ISBN 13: 9781032471631
Language: English
Paperback. Condition: new. Paperback. Mobile, wearable, and self-driving telephones are just a few examples of modern distributed networks that generate enormous amount of information every day. Due to the growing computing capacity of these devices as well as concerns over the transfer of private information, it has become important to process the part of the data locally by moving the learning methods and computing to the border of devices. Federated learning has developed as a model of education in these situations. Federated learning (FL) is an expert form of decentralized machine learning (ML). It is essential in areas like privacy, large-scale machine education and distribution. It is also based on the current stage of ICT and new hardware technology and is the next generation of artificial intelligence (AI). In FL, central ML model is built with all the data available in a centralised environment in the traditional machine learning. It works without problems when the predictions can be served by a central server. Users require fast responses in mobile computing, but the model processing happens at the sight of the server, thus taking too long. The model can be placed in the end-user device, but continuous learning is a challenge to overcome, as models are programmed in a complete dataset and the end-user device lacks access to the entire data package. Another challenge with traditional machine learning is that user data is aggregated at a central location where it violates local privacy policies laws and make the data more vulnerable to data violation. This book provides a comprehensive approach in federated learning for various aspects. Federated learning is a Distributed Machine Learning model that has been used in many applications today. Most edge devices can execute models with local dataset since their computation power is unutilized. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Internet of Drones: Applications, Opportunities, and Challenges
Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032171693 ISBN 13: 9781032171692
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 403.
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Internet of Drones
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Cloud IoT systems for smart agricultural engineering
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032028300 ISBN 13: 9781032028309
Language: English
Condition: New. pages cm.
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Internet of Drones : Applications, Opportunities, and Challenges
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Handbook of Artificial Intelligence in Biomedical Engineering
Published by Apple Academic Press, 2022
ISBN 10: 1774637618 ISBN 13: 9781774637616
Language: English
Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Green Computing for Sustainable Smart Cities: A Data Analytics Applications Perspective
Published by Taylor & Francis Ltd, 2025
ISBN 10: 1032483962 ISBN 13: 9781032483962
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 453.
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Cloud IoT Systems for Smart Agricultural Engineering (Chapman & Hall/CRC Internet of Things)
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032028300 ISBN 13: 9781032028309
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Cloud IoT systems for smart agricultural engineering
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032028300 ISBN 13: 9781032028309
Language: English
Condition: New. pages cm First edition Includes bibliographical references and index.
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Internet of Drones : Applications, Opportunities, and Challenges
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Handbook on Federated Learning (Paperback)
Published by Taylor & Francis Ltd, London, 2025
ISBN 10: 1032471638 ISBN 13: 9781032471631
Language: English
Paperback. Condition: new. Paperback. Mobile, wearable, and self-driving telephones are just a few examples of modern distributed networks that generate enormous amount of information every day. Due to the growing computing capacity of these devices as well as concerns over the transfer of private information, it has become important to process the part of the data locally by moving the learning methods and computing to the border of devices. Federated learning has developed as a model of education in these situations. Federated learning (FL) is an expert form of decentralized machine learning (ML). It is essential in areas like privacy, large-scale machine education and distribution. It is also based on the current stage of ICT and new hardware technology and is the next generation of artificial intelligence (AI). In FL, central ML model is built with all the data available in a centralised environment in the traditional machine learning. It works without problems when the predictions can be served by a central server. Users require fast responses in mobile computing, but the model processing happens at the sight of the server, thus taking too long. The model can be placed in the end-user device, but continuous learning is a challenge to overcome, as models are programmed in a complete dataset and the end-user device lacks access to the entire data package. Another challenge with traditional machine learning is that user data is aggregated at a central location where it violates local privacy policies laws and make the data more vulnerable to data violation. This book provides a comprehensive approach in federated learning for various aspects. Federated learning is a Distributed Machine Learning model that has been used in many applications today. Most edge devices can execute models with local dataset since their computation power is unutilized. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Cloud IoT systems for smart agricultural engineering
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032028300 ISBN 13: 9781032028309
Language: English
Condition: New. pages cm.
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Cloud IoT Systems for Smart Agricultural Engineering
Published by Taylor & Francis Ltd, 2025
ISBN 10: 1032028300 ISBN 13: 9781032028309
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 520.
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Cloud IoT Systems for Smart Agricultural Engineering (Paperback)
Published by Taylor & Francis Ltd, 2025
ISBN 10: 1032028300 ISBN 13: 9781032028309
Language: English
Paperback. Condition: new. Paperback. Agriculture plays a vital role in a countrys growth. Modern-day technologies drive every domain toward smart systems. The use of traditional agricultural procedures to satisfy modern-day requirements is a challenging task. Cloud IoT Systems for Smart Agricultural Engineering provides substantial coverage of various challenges of the agriculture domain through modern technologies such as the Internet of Things (IoT), cloud computing, and many more.This book offers various state-of-the-art procedures to be deployed in a wide range of agricultural activities. The concepts are discussed with the necessary implementations and clear examples. Necessary illustrations are depicted in the chapters to ensure the effective delivery of the proposed concepts. It presents the rapid advancement of the technologies in the existing agricultural model by applying the cloud IoT techniques. A wide variety of novel architectural solutions are discussed in various chapters of this book.This book provides comprehensive coverage of the most essential topics, including: New approaches on urban and vertical farming Smart crop management for Indian farmers Smart livestock management Precision agriculture using geographical information systems Machine learning techniques combined with IoT for smart agriculture Effective use of drones in smart agricultureThis book provides solutions for the diverse domain of problems in agricultural engineering. It can be used at the basic and intermediary levels for agricultural science and engineering graduate students, researchers, and practitioners. The book presents a detailed exploration of adaption and implementation of cloud IoT systems in the field of agriculture. It covers all the aspects of the smart agriculture with state-of-the-art Cloud IoT systems. It is aimed primarily at graduates, researchers and practitioners who are engaged in agriculture engineering. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Paperback. Condition: Brand New. 218 pages. 9.18x6.12x9.21 inches. In Stock.
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Smart Technologies for Sustainable Development Goals: No Poverty
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 5 out of 5 stars
hardcover. Condition: Fine.
