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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书目名称Artificial Intelligence in IoT影响因子(影响力)




书目名称Artificial Intelligence in IoT影响因子(影响力)学科排名




书目名称Artificial Intelligence in IoT网络公开度




书目名称Artificial Intelligence in IoT网络公开度学科排名




书目名称Artificial Intelligence in IoT被引频次




书目名称Artificial Intelligence in IoT被引频次学科排名




书目名称Artificial Intelligence in IoT年度引用




书目名称Artificial Intelligence in IoT年度引用学科排名




书目名称Artificial Intelligence in IoT读者反馈




书目名称Artificial Intelligence in IoT读者反馈学科排名

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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