Deep Learning for Heterogeneous Human Activity Recognition in Complex IoT Applications

Faculty Computer Science Year: 2020
Type of Publication: ZU Hosted Pages: Page(s): 5653 - 5665
Authors:
Mohammed Abdel Basset Metwally Attia
Journal: IEEE Internet of Things Journal IEEE Volume: Volume: 9
Keywords : Deep Learning , Heterogeneous Human Activity Recognition    
Abstract:
With continued improvements in wireless sensing technology, the notion of the Internet of Things (IoT) has been widely adopted and has become pervasive owing to its broad applications in scenarios such as ambient assisted living, smart heal
    
     
 
       

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Department Related Publications

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  • Ahmed Raafat Abass Mohamed Saliem, "Using General Regression with Local Tuning for Learning Mixture Models from Incomplete Data Sets", ScienceDirect, 2010 More
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