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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書目名稱Artificial Intelligence in IoT影響因子(影響力)




書目名稱Artificial Intelligence in IoT影響因子(影響力)學(xué)科排名




書目名稱Artificial Intelligence in IoT網(wǎng)絡(luò)公開度




書目名稱Artificial Intelligence in IoT網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Artificial Intelligence in IoT被引頻次




書目名稱Artificial Intelligence in IoT被引頻次學(xué)科排名




書目名稱Artificial Intelligence in IoT年度引用




書目名稱Artificial Intelligence in IoT年度引用學(xué)科排名




書目名稱Artificial Intelligence in IoT讀者反饋




書目名稱Artificial Intelligence in IoT讀者反饋學(xué)科排名

Delirium

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.

混雜人

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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