Swarm Intelligence Resource Management (16 results)
Language: English
Published by Academic Press, 2020
Series: Book 14 of 20 - Intelligent Data-Centric Systems: Sensor Collected Intelligence
- Softcover
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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£ 118.85
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Condition: New. pp. 232.
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Language: English
Published by Academic Press, 2020
Series: Book 14 of 20 - Intelligent Data-Centric Systems: Sensor Collected Intelligence
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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£ 129.18
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Condition: New.
Language: English
Published by Academic Press, 2020
Series: Book 14 of 20 - Intelligent Data-Centric Systems: Sensor Collected Intelligence
- Softcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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£ 129.11
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Condition: New. pp. 232.
Language: English
Published by Elsevier Science Publishing Co Inc, 2020
Series: Book 14 of 20 - Intelligent Data-Centric Systems: Sensor Collected Intelligence
- Softcover
Seller: THE SAINT BOOKSTORE, Southport, United KingdomTHE SAINT BOOKSTORE
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£ 124.78
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Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
Language: English
Published by Academic Press, 2020
Series: Book 14 of 20 - Intelligent Data-Centric Systems: Sensor Collected Intelligence
- Softcover
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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£ 136.92
£ 8.54 shippingShips from Germany to U.S.A.Quantity: 3 available
Condition: New. pp. 232.
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Language: English
Published by Academic Press, 2020
Series: Book 14 of 20 - Intelligent Data-Centric Systems: Sensor Collected Intelligence
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contact seller5-star sellerCondition: Used - As new
£ 152.34
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Condition: As New. Unread book in perfect condition.
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Language: English
Published by Academic Press, 2020
Series: Book 14 of 20 - Intelligent Data-Centric Systems: Sensor Collected Intelligence
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: New
£ 135.83
£ 15.00 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Condition: New.
Language: English
Published by Academic Press, 2020
Series: Book 14 of 20 - Intelligent Data-Centric Systems: Sensor Collected Intelligence
- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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£ 140.67
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Condition: New. In.
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Language: English
Published by Academic Press, 2020
Series: Book 14 of 20 - Intelligent Data-Centric Systems: Sensor Collected Intelligence
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: Used - As new
£ 152.88
£ 15.00 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Condition: As New. Unread book in perfect condition.
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Language: English
Published by Elsevier Science Publishing Co Inc, US, 2020
Series: Book 14 of 20 - Intelligent Data-Centric Systems: Sensor Collected Intelligence
- Softcover
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
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£ 177.94
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Paperback. Condition: New. Internet of Things (IoT) is a new platform of various physical objects or "things equipped with sensors, electronics, smart devices, software, and network connections. IoT represents a new revolution of the Internet network which is driven by the recent advances of technologies such as sensor networks…(wearable and implantable), mobile devices, networking, and cloud computing technologies. IoT permits these the smart devices to collect, store and analyze the collected data with limited storage and processing capacities. Swarm Intelligence for Resource Management in the Internet of Things presents a new approach in Artificial Intelligence that can be used for resources management in IoT, which is considered a critical issue for this network. The authors demonstrate these resource management applications using swarm intelligence techniques. Currently, IoT can be used in many important applications which include healthcare, smart cities, smart homes, smart hospitals, environment monitoring, and video surveillance. IoT devices cannot perform complex on-site data processing due to their limited battery and processing. However, the major processing unit of an application can be transmitted to other nodes, which are more powerful in terms of storage and processing. By applying swarm intelligence algorithms for IoT devices, we can provide major advantages for energy saving in IoT devices. Swarm Intelligence for Resource Management in the Internet of Things shows the reader how to overcome the problems and challenges of creating and implementing swarm intelligence algorithms for each application.
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Language: English
Published by Elsevier Science, 2020
Series: Book 14 of 20 - Intelligent Data-Centric Systems: Sensor Collected Intelligence
- Softcover
Seller: moluna, Greven, Germanymoluna
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£ 148.43
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Condition: New. Examines the development and application of swarm intelligence systems in artificial intelligence as applied to the Internet of Things Discusses intelligent techniques for the implementation of swarm intelligence in IoT Prepared f.
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Language: English
Published by Elsevier Science Publishing Co Inc, US, 2020
Series: Book 14 of 20 - Intelligent Data-Centric Systems: Sensor Collected Intelligence
- Softcover
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
Contact seller5-star sellerCondition: New
£ 163.41
£ 65.00 shippingShips from United Kingdom to U.S.A.Quantity: Over 20 available
Paperback. Condition: New. Internet of Things (IoT) is a new platform of various physical objects or "things equipped with sensors, electronics, smart devices, software, and network connections. IoT represents a new revolution of the Internet network which is driven by the recent advances of technologies such as sensor networks…(wearable and implantable), mobile devices, networking, and cloud computing technologies. IoT permits these the smart devices to collect, store and analyze the collected data with limited storage and processing capacities. Swarm Intelligence for Resource Management in the Internet of Things presents a new approach in Artificial Intelligence that can be used for resources management in IoT, which is considered a critical issue for this network. The authors demonstrate these resource management applications using swarm intelligence techniques. Currently, IoT can be used in many important applications which include healthcare, smart cities, smart homes, smart hospitals, environment monitoring, and video surveillance. IoT devices cannot perform complex on-site data processing due to their limited battery and processing. However, the major processing unit of an application can be transmitted to other nodes, which are more powerful in terms of storage and processing. By applying swarm intelligence algorithms for IoT devices, we can provide major advantages for energy saving in IoT devices. Swarm Intelligence for Resource Management in the Internet of Things shows the reader how to overcome the problems and challenges of creating and implementing swarm intelligence algorithms for each application.
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Language: English
Published by Elsevier Science & Technology, Academic Press Jun 2020, 2020
Series: Book 14 of 20 - Intelligent Data-Centric Systems: Sensor Collected Intelligence
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
Contact seller5-star sellerCondition: New
£ 204.11
£ 53.23 shippingShips from Germany to U.S.A.Quantity: 2 available
Taschenbuch. Condition: Neu. Neuware - Internet of Things (IoT) is a new platform of various physical objects or 'things? equipped with sensors, electronics, smart devices, software, and network connections. IoT represents a new revolution of the Internet network which is driven by the recent advances of technologies such as sen…sor networks (wearable and implantable), mobile devices, networking, and cloud computing technologies. IoT permits these the smart devices to collect, store and analyze the collected data with limited storage and processing capacities. Swarm Intelligence for Resource Management in the Internet of Things presents a new approach in Artificial Intelligence that can be used for resources management in IoT, which is considered a critical issue for this network. The authors demonstrate these resource management applications using swarm intelligence techniques. Currently, IoT can be used in many important applications which include healthcare, smart cities, smart homes, smart hospitals, environment monitoring, and video surveillance. IoT devices cannot perform complex on-site data processing due to their limited battery and processing. However, the major processing unit of an application can be transmitted to other nodes, which are more powerful in terms of storage and processing. By applying swarm intelligence algorithms for IoT devices, we can provide major advantages for energy saving in IoT devices. Swarm Intelligence for Resource Management in the Internet of Things shows the reader how to overcome the problems and challenges of creating and implementing swarm intelligence algorithms for each application.
Language: English
Published by Academic Press, 2020
Series: Book 14 of 20 - Intelligent Data-Centric Systems: Sensor Collected Intelligence
- Softcover
- Print on Demand
Seller: Basi6 International, Irving, TX, U.S.A.Basi6 International
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£ 98.64
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Condition: Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days. Excellent Customer Service.
Language: English
Published by Academic Press, 2020
Series: Book 14 of 20 - Intelligent Data-Centric Systems: Sensor Collected Intelligence
- Softcover
- Print on Demand
Seller: Brook Bookstore On Demand, Napoli, NA, ItalyBrook Bookstore On Demand
Contact seller5-star sellerCondition: New
£ 105.07
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Condition: new. Questo è un articolo print on demand.
Language: English
Published by Academic Pr, 2020
Series: Book 14 of 20 - Intelligent Data-Centric Systems: Sensor Collected Intelligence
- Softcover
- Print on Demand
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
Contact seller5-star sellerCondition: New
£ 113.98
£ 10.00 shippingShips from United Kingdom to U.S.A.Quantity: 2 available
Paperback. Condition: Brand New. 155 pages. 9.00x7.25x0.50 inches. In Stock. This item is printed on demand.
