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Titlebook: Artificial Intelligence in IoT; Fadi Al-Turjman Book 2019 Springer Nature Switzerland AG 2019 Internet of Things.Wireless Sensor Networks

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發(fā)表于 2025-3-21 18:01:02 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Artificial Intelligence in IoT
影響因子2023Fadi Al-Turjman
視頻videohttp://file.papertrans.cn/163/162474/162474.mp4
發(fā)行地址Includes the most up-to-date research and applications related to IoT artificial intelligence (AI);.Provides new and innovative operational ideas regarding the IoT artificial intelligence that help ad
學科分類Transactions on Computational Science and Computational Intelligence
圖書封面Titlebook: Artificial Intelligence in IoT;  Fadi Al-Turjman Book 2019 Springer Nature Switzerland AG 2019 Internet of Things.Wireless Sensor Networks
影響因子.This book provides an insight into IoT intelligence in terms of applications and algorithmic challenges. The book is dedicated to addressing the major challenges in realizing the artificial intelligence in IoT-based applications including challenges that vary from cost and energy efficiency to availability to service quality in multidisciplinary fashion. The aim of this book is hence to focus on both the algorithmic and practical parts of the artificial intelligence approaches in IoT applications that are enabled and supported by wireless sensor networks and cellular networks. Targeted readers are from varying disciplines who are interested in implementing the smart planet/environments vision via intelligent wireless/wired enabling technologies..Includes the most up-to-date research and applications related to IoT artificial intelligence (AI);.Provides new and innovative operational ideas regarding the IoT artificial intelligence that help advance the telecommunications industry;.Presents AI challenges facing the IoT scientists and provides potential ways to solve them in critical daily life issues..
Pindex Book 2019
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發(fā)表于 2025-3-21 22:48:43 | 只看該作者
Norbert Welsch,Claus Chr Liebmannts in the Internet of Things (IoT) with robust modeling algorithms such as EANN. Relying on the huge amount of knowledge within IoT components, the hybrid IoT-EANN can yield in the high-resolution space-time estimations of runoff that is a practical way to mitigate potential hazards of flooding thro
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Bau des menschlichen Sehsystemscomprising two fundamental steps of color quantization and unique pixels selection. The experiments, performed on color images using the proposed algorithm, show improved performance in extracting objects of interest with high accuracy. We also test the algorithm on several noisy images; the obtaine
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Norbert Welsch,Claus Chr. Liebmannion. Experimental results show that the proposed algorithm has a good forensics performance for different FRUC forgery methods. Especially after the attacks of de-noising and compression, the proposed algorithm can still ensure high detection accuracy.
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Improving the Physical Layer Security of IoT-5G Systems,ubset of these subcarriers, which are corresponding to high subchannel gains, are selected and used for data transmission, while the remaining ones, which are corresponding to low subchannel gains, are used for sending artificially interfering signals. The selected subcarriers are determined through
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A Hybrid Approach for Image Segmentation in the IoT Era,comprising two fundamental steps of color quantization and unique pixels selection. The experiments, performed on color images using the proposed algorithm, show improved performance in extracting objects of interest with high accuracy. We also test the algorithm on several noisy images; the obtaine
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