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
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Department Related Publications

  • Saber Mohamed, "A surrogate-assisted differential evolution algorithm with dynamic parameters selection for solving expensive optimization problems", IEEE, 2014 More
  • Saber Mohamed, "Differential Evolution Combined with Constraint Consensus for Constrained Optimization", IEEE, 2011 More
  • Noha Mohamed Ibrahiem Mohamed Hamza, "A constraint consensus memetic algorithm for solving constrained optimization problems", Taylor & Francis, 2014 More
  • Mohammed Abdel Basset Metwally Attia, "An Interactive Multi-Criteria Decision-Making Approach for Autonomous Vehicles and Distributed Resources Based on Logistic Systems: Challenges for a Sustainable Future", MDPI, 2023 More
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