Nattha Jindapetch (39 results)
Rssi-based Localizations : Applications and Advancements With Machine Learning
Jindapetch, Nattha (EDT); Wattananavin, Thradon (EDT); Thongpull, Kittikhun (EDT); Booranawong, Apidet (EDT)
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Rssi-based Localizations : Applications and Advancements With Machine Learning
Jindapetch, Nattha (EDT); Wattananavin, Thradon (EDT); Thongpull, Kittikhun (EDT); Booranawong, Apidet (EDT)
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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- Softcover
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
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Paperback. Condition: New. This book explores RSSI-based localization, device-free detection, and machine learning integration, providing practical insights into wireless sensing applications for navigation, security, healthcare, and intelligent IoT systems. With its emphasis on practical implementation and real-world applicatio…ns, this book serves as an invaluable resource for those looking to harness RSSI for robust, efficient, and scalable solutions. It empowers the reader to develop advanced wireless sensing solutions across various domains. By starting with measurement techniques for RSSI and localization algorithms, the authors provide a strong foundation in RSSI localization. The reader also learns Device-Free Detection (DFD) using RSSI, applied in security, healthcare, and smart homes, which enables the design of more intelligent smart environments.An important topic covered in the book is the integration of machine learning (ML) with RSSI data. The authors cover supervised, unsupervised, and deep learning techniques, focusing on enhancing accuracy, scalability, and adaptability. The reader learns how to apply ML techniques and gain further insight into the advanced applications of RSSI data. Such knowledge allows for the development of more accurate and scalable systems, creation of intelligent IoT systems. An important hospital case is included to study RSSI-based monitoring in healthcare. It features a real-world example which details the implementation, challenges, and results of the case study. The practical insights demonstrate the potential benefits and challenges of RSSI-based healthcare solutions and inspires the development of innovative solutions in healthcare and potentially other domains, integrating machine learning capabilities.The readership for this book is graduate students in wireless sensor network and IoT courses, as well as professionals such as developers and researchers developing smart communications in factories, hospitals, and buildings.
Rssi-based Localizations : Applications and Advancements With Machine Learning
Jindapetch, Nattha (EDT); Wattananavin, Thradon (EDT); Thongpull, Kittikhun (EDT); Booranawong, Apidet (EDT)
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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- Softcover
Seller: Majestic Books, Hounslow, , United KingdomMajestic Books
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- Softcover
Seller: Rarewaves USA, OSWEGO, IL, U.S.A.Rarewaves USA
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Paperback. Condition: New. This book explores RSSI-based localization, device-free detection, and machine learning integration, providing practical insights into wireless sensing applications for navigation, security, healthcare, and intelligent IoT systems. With its emphasis on practical implementation and real-world applicatio…ns, this book serves as an invaluable resource for those looking to harness RSSI for robust, efficient, and scalable solutions. It empowers the reader to develop advanced wireless sensing solutions across various domains. By starting with measurement techniques for RSSI and localization algorithms, the authors provide a strong foundation in RSSI localization. The reader also learns Device-Free Detection (DFD) using RSSI, applied in security, healthcare, and smart homes, which enables the design of more intelligent smart environments.An important topic covered in the book is the integration of machine learning (ML) with RSSI data. The authors cover supervised, unsupervised, and deep learning techniques, focusing on enhancing accuracy, scalability, and adaptability. The reader learns how to apply ML techniques and gain further insight into the advanced applications of RSSI data. Such knowledge allows for the development of more accurate and scalable systems, creation of intelligent IoT systems. An important hospital case is included to study RSSI-based monitoring in healthcare. It features a real-world example which details the implementation, challenges, and results of the case study. The practical insights demonstrate the potential benefits and challenges of RSSI-based healthcare solutions and inspires the development of innovative solutions in healthcare and potentially other domains, integrating machine learning capabilities.The readership for this book is graduate students in wireless sensor network and IoT courses, as well as professionals such as developers and researchers developing smart communications in factories, hospitals, and buildings.
- Softcover
Seller: Chiron Media, Wallingford, , United KingdomChiron Media
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paperback. Condition: New.
Rssi-based Localizations : Applications and Advancements With Machine Learning
Jindapetch, Nattha (EDT); Wattananavin, Thradon (EDT); Thongpull, Kittikhun (EDT); Booranawong, Apidet (EDT)
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: Used - As new
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Condition: As New. Unread book in perfect condition.
- Softcover
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- Softcover
Seller: Revaluation Books, Exeter, , United KingdomRevaluation Books
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Paperback. Condition: Brand New. 9.18x6.12 inches. In Stock.
- Softcover
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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- Softcover
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- Softcover
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- Softcover
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- Softcover
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- Softcover
Seller: Revaluation Books, Exeter, , United KingdomRevaluation Books
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Paperback. Condition: Brand New. 200 pages. 9.18x6.12x9.21 inches. In Stock.
- Softcover
Seller: moluna, Greven, , Germanymoluna
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Condition: New. Nattha Jindapetch obtained her PhD from the University of Tokyo in advanced science and technology. She is currently an Associate Professor with the Department of Electrical Engineering at Prince of Songkla University, Thailand. Her research inter.
- Softcover
Seller: Rarewaves USA United, OSWEGO, IL, U.S.A.Rarewaves USA United
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Paperback. Condition: New. This book explores RSSI-based localization, device-free detection, and machine learning integration, providing practical insights into wireless sensing applications for navigation, security, healthcare, and intelligent IoT systems. With its emphasis on practical implementation and real-world applicatio…ns, this book serves as an invaluable resource for those looking to harness RSSI for robust, efficient, and scalable solutions. It empowers the reader to develop advanced wireless sensing solutions across various domains. By starting with measurement techniques for RSSI and localization algorithms, the authors provide a strong foundation in RSSI localization. The reader also learns Device-Free Detection (DFD) using RSSI, applied in security, healthcare, and smart homes, which enables the design of more intelligent smart environments.An important topic covered in the book is the integration of machine learning (ML) with RSSI data. The authors cover supervised, unsupervised, and deep learning techniques, focusing on enhancing accuracy, scalability, and adaptability. The reader learns how to apply ML techniques and gain further insight into the advanced applications of RSSI data. Such knowledge allows for the development of more accurate and scalable systems, creation of intelligent IoT systems. An important hospital case is included to study RSSI-based monitoring in healthcare. It features a real-world example which details the implementation, challenges, and results of the case study. The practical insights demonstrate the potential benefits and challenges of RSSI-based healthcare solutions and inspires the development of innovative solutions in healthcare and potentially other domains, integrating machine learning capabilities.The readership for this book is graduate students in wireless sensor network and IoT courses, as well as professionals such as developers and researchers developing smart communications in factories, hospitals, and buildings.
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Neuware - This book explores RSSI-based localization, device-free detection, and machine learning integration, providing practical insights into wireless sensing applications for navigation, security, healthcare, and intelligent IoT systems. With its emphasis on practical implementation and real-worl…d applications, this book serves as an invaluable resource for those looking to harness RSSI for robust, efficient, and scalable solutions. It empowers the reader to develop advanced wireless sensing solutions across various domains. By starting with measurement techniques for RSSI and localization algorithms, the authors provide a strong foundation in RSSI localization. The reader also learns Device-Free Detection (DFD) using RSSI, applied in security, healthcare, and smart homes, which enables the design of more intelligent smart environments.
- Softcover
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
Contact seller5-star sellerCondition: New
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US$ 87.19 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Paperback. Condition: New. This book explores RSSI-based localization, device-free detection, and machine learning integration, providing practical insights into wireless sensing applications for navigation, security, healthcare, and intelligent IoT systems. With its emphasis on practical implementation and real-world applicatio…ns, this book serves as an invaluable resource for those looking to harness RSSI for robust, efficient, and scalable solutions. It empowers the reader to develop advanced wireless sensing solutions across various domains. By starting with measurement techniques for RSSI and localization algorithms, the authors provide a strong foundation in RSSI localization. The reader also learns Device-Free Detection (DFD) using RSSI, applied in security, healthcare, and smart homes, which enables the design of more intelligent smart environments.An important topic covered in the book is the integration of machine learning (ML) with RSSI data. The authors cover supervised, unsupervised, and deep learning techniques, focusing on enhancing accuracy, scalability, and adaptability. The reader learns how to apply ML techniques and gain further insight into the advanced applications of RSSI data. Such knowledge allows for the development of more accurate and scalable systems, creation of intelligent IoT systems. An important hospital case is included to study RSSI-based monitoring in healthcare. It features a real-world example which details the implementation, challenges, and results of the case study. The practical insights demonstrate the potential benefits and challenges of RSSI-based healthcare solutions and inspires the development of innovative solutions in healthcare and potentially other domains, integrating machine learning capabilities.The readership for this book is graduate students in wireless sensor network and IoT courses, as well as professionals such as developers and researchers developing smart communications in factories, hospitals, and buildings.
- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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Taschenbuch. Condition: Neu. RSSI-Based Localizations | Applications and Advancements with Machine Learning | Apidet Booranawong (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2026 | Taylor & Francis Ltd | EAN 9781041124214 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[…at]libri[dot]de | Anbieter: preigu.
Rssi-based Localizations : Applications and Advancements With Machine Learning
Jindapetch, Nattha (EDT); Wattananavin, Thradon (EDT); Thongpull, Kittikhun (EDT); Booranawong, Apidet (EDT)
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contact seller5-star sellerCondition: Used - As new
US$ 274.55
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Condition: As New. Unread book in perfect condition.
Rssi-based Localizations : Applications and Advancements With Machine Learning
Jindapetch, Nattha (EDT); Wattananavin, Thradon (EDT); Thongpull, Kittikhun (EDT); Booranawong, Apidet (EDT)
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contact seller5-star sellerCondition: New
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Condition: New.
Rssi-based Localizations : Applications and Advancements With Machine Learning
Jindapetch, Nattha (EDT); Wattananavin, Thradon (EDT); Thongpull, Kittikhun (EDT); Booranawong, Apidet (EDT)
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: Used - As new
US$ 283.03
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Condition: As New. Unread book in perfect condition.
- Hardcover
Seller: Majestic Books, Hounslow, , United KingdomMajestic Books
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Condition: New.
Rssi-based Localizations : Applications and Advancements With Machine Learning
Jindapetch, Nattha (EDT); Wattananavin, Thradon (EDT); Thongpull, Kittikhun (EDT); Booranawong, Apidet (EDT)
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: New
US$ 293.89
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Condition: New.
- Hardcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condition: New.
- Hardcover
Seller: moluna, Greven, , Germanymoluna
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US$ 284.98
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Condition: New. Nattha Jindapetch obtained her PhD from the University of Tokyo in advanced science and technology. She is currently an Associate Professor with the Department of Electrical Engineering at Prince of Songkla University, Thailand. Her research inter.
- Hardcover
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
Contact seller4-star sellerCondition: New
US$ 346.20
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Condition: New.
