A Divergence-Dependent Transmission Model for Wearable Antenna Communication in Medical Application

Faculty Computer Science Year: 2021
Type of Publication: ZU Hosted Pages:
Authors:
Journal: Measurement: Journal of the International Measurement Confederation .Elsevier Ltd Volume: 75
Keywords : , Divergence-Dependent Transmission Model , Wearable Antenna Communication    
Abstract:
Wearable sensor technology in medical systems has led to the design and fabrication of body-worn tiny sensing devices. These devices are capable of sensing and transmitting the physiological vitals for clinical analysis and diagnosis. The p
   
     
 
       

Author Related Publications

  • Wael Said AbdelMageed Mohamed, "A big data approach to sentiment analysis using greedy feature selection with cat swarm optimization-based long short-term memory neural networks", Springer Nature, 2018 More
  • Wael Said AbdelMageed Mohamed, "Improving the reconstruction of dental occlusion using a reconstructed‑based identical matrix point technique", Springer Nature Switzerland AG, 2021 More
  • Wael Said AbdelMageed Mohamed, "Connection-Adjustable Network Slicing Process for Heterogeneous Service Handling in Real-Time Applications", American Scientific Publishers, 2022 More
  • Wael Said AbdelMageed Mohamed, "Space Division Multiple Access for Cellular V2X Communications", Tech Science Press, 2022 More
  • Wael Said AbdelMageed Mohamed, "A Multi-Factor Authentication-Based Framework for Identity Management in Cloud Applications", Tech Science Press, 2021 More

Department Related Publications

  • Ibrahiem Mahmoud Mohamed Elhenawy, "BERT-CNN: A Deep Learning Model for Detecting Emotions from Text", Tech Science Press, 2021 More
  • Ahmed Raafat Abass Mohamed Saliem, "BERT-CNN: A Deep Learning Model for Detecting Emotions from Text", Tech Science Press, 2021 More
  • Ahmed Raafat Abass Mohamed Saliem, "Using General Regression with Local Tuning for Learning Mixture Models from Incomplete Data Sets", ScienceDirect, 2010 More
  • Ahmed Raafat Abass Mohamed Saliem, "On determining efficient finite mixture models with compact and essential components for clustering data", ScienceDirect, 2013 More
  • Ahmed Raafat Abass Mohamed Saliem, "Unsupervised learning of mixture models based on swarm intelligence and neural networks with optimal completion using incomplete data", ScienceDirect, 2012 More
Tweet