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

Faculty Computer Science Year: 2021
Type of Publication: ZU Hosted Pages:
Authors:
Wael Said AbdelMageed Mohamed
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, "High-Precision Brain Tumor Diagnosis Using SECNN-MNet Framework and Explainable AI", Springer Nature Link, 2025 More
  • Wael Said AbdelMageed Mohamed, "Deception and cloud integration: A multi-layered approach for DDoS detection, mitigation, and attack surface minimization in SD-IoT networks", .Elsevier Ltd, 2025 More
  • Wael Said AbdelMageed Mohamed, "Reinforcement Learning for Industrial Automation: A Comprehensive Review of Adaptive Control and Decision-Making in Smart Factories", MDPI, 2025 More
  • Wael Said AbdelMageed Mohamed, "RAUM-GANs: A Multi-Layer GAN-Enhanced Framework for Accurate Multiple Sclerosis Lesion Segmentation in MRI", Nature Portfolio, 2025 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