ST-DeepHAR: Deep Learning Model for Human Activity Recognition in IoHT Applications

Faculty Computer Science Year: 2020
Type of Publication: ZU Hosted Pages:
Authors:
Journal: IEEE Internet of Things Journals IEEE Volume:
Keywords : ST-DeepHAR: Deep Learning Model , Human Activity    
Abstract:
Human activity recognition (HAR) has been regarded as an indispensable part of many smart home systems and smart healthcare applications. Specifically, HAR is of great importance in the Internet of Healthcare Things (IoHT), owing to the rap
   
     
 
       

Author Related Publications

  • Hosam Rada mohamed abdel megeed hawash, "RCTE: A reliable and consistent temporal-ensembling framework for semi-supervised segmentation of COVID-19 lesions", ElSEVIER, 2021 More
  • Hosam Rada mohamed abdel megeed hawash, "PV-Net: An innovative deep learning approach for efficient forecasting of short-term photovoltaic energy production", ElSEVIER, 2021 More
  • Hosam Rada mohamed abdel megeed hawash, "Two-Stage Deep Learning Framework for Discrimination between COVID-19 and Community-Acquired Pneumonia from Chest CT scans", ElSEVIER, 2021 More
  • Hosam Rada mohamed abdel megeed hawash, "Deep learning approaches for human centered IoT applications in smart indoor environments: a contemporary survey", Springer, 2021 More
  • Hosam Rada mohamed abdel megeed hawash, "Energy-Net: A Deep Learning Approach for Smart Energy Management in IoT-Based Smart Cities", IEEE, 2021 More

Department Related Publications

  • Ahmed Raafat Abass Mohamed Saliem, "Determining Extractive Summary for a Single Document Based on Collaborative Filtering Frequency Prediction and Mean Shift Clustering", International Association of Engineers, 2019 More
  • Ibrahiem Mahmoud Mohamed Elhenawy, "Determining Extractive Summary for a Single Document Based on Collaborative Filtering Frequency Prediction and Mean Shift Clustering", International Association of Engineers, 2019 More
Tweet