H2HI-Net: A Dual-Branch Network for Recognizing Human-to-Human Interactions From Channel-State Information

Faculty Computer Science Year: 2021
Type of Publication: ZU Hosted Pages: Page(s): 10010 - 10021
Authors:
Mohammed Abdel Basset Metwally Attia
Journal: IEEE Internet of Things Journal IEEE Volume: Volume: 9
Keywords : H2HI-Net: , Dual-Branch Network , Recognizing Human-to-Human Interactions    
Abstract:
Recognizing human activities is considered a vital research challenge because of its essential significance for improving human–machine collaboration in the Internet of Things environments. The present deep learning (DL) literature focused
   
     
 
       

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Department Related Publications

  • Mohammed Abdel Basset Metwally Attia, "Discrete greedy flower pollination algorithm for spherical traveling salesman problem", Springer, 2019 More
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  • Saber Mohamed, "Training and Testing a Self-Adaptive Multi-Operator Evolutionary Algorithm for Constrained Optimization", ELSEVEIR, 2015 More
  • Saber Mohamed, "An Improved Self-Adaptive Differential Evolution Algorithm for Optimization Problems", IEEE, 2013 More
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