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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  • Mohammed Abdel Basset Metwally Attia, "A novel equilibrium optimization algorithm for multi-thresholding image segmentation problems", Springer London, 2021 More
  • Mohammed Abdel Basset Metwally Attia, "An efficient binary slime mould algorithm integrated with a novel attacking-feeding strategy for feature selection", Pergamon, 2021 More
  • Mohammed Abdel Basset Metwally Attia, "An efficient teaching-learning-based optimization algorithm for parameters identification of photovoltaic models: Analysis and validations", Pergamon, 2021 More

Department Related Publications

  • Saber Mohamed, "Self-adaptive Mix of Particle Swarm Methodologies for Constrained Optimization", ELSEVIER, 2014 More
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  • Saber Mohamed, "GA with a New Multi-Parent Crossover for Constrained Optimization", IEEE, 2011 More
  • Eman samir hasan sayed, "Decision Making Assessment for Site Selection Using the AHP and TOPSIS Methods", Statistical studies institution, Cairo University, Egypt, 2007 More
  • Israa Abdel Ghaffar Salem Mohammed, "Estimating Bed Requirements for a Pediatric Department in a University Hospital in Egypt", Modern Management Science & Engineering, 2016 More
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