Omiya Hassan
Orcid: 0000-0002-1080-3398
  According to our database1,
  Omiya Hassan
  authored at least 16 papers
  between 2019 and 2025.
  
  
Collaborative distances:
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Bibliography
  2025
AI-Driven Technology in Heart Failure Detection and Diagnosis: A Review of the Advancement in Personalized Healthcare.
    
  
    Symmetry, 2025
    
  
Lightweight Binarized Neural Network for Real-Time Sleep Apnea Detection on Edge Hardware.
    
  
    Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2025
    
  
  2024
Design of a Power-Efficient Digital Classifier for Neural Network-Based Sleep Apnea Detection System.
    
  
    Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2024
    
  
    Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2024
    
  
  2023
Correction to: Energy Efficient Deep Learning Inference Embedded on FPGA for Sleep Apnea Detection.
    
  
    J. Signal Process. Syst., November, 2023
    
  
An Optimized Hardware Inference of SABiNN: Shift-Accumulate Binarized Neural Network for Sleep Apnea Detection.
    
  
    IEEE Trans. Instrum. Meas., 2023
    
  
  2022
    J. Signal Process. Syst., 2022
    
  
A Multi-Sensor Based Automatic Sleep Apnea Detection System for Adults Using Neural Network Inference on FPGA.
    
  
    Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2022
    
  
SABiNN: FPGA Implementation of Shift Accumulate Binary Neural Network Model for Real-Time Automatic Detection of Sleep Apnea.
    
  
    Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2022
    
  
  2021
An Optimized Hardware Implementation of Deep Learning Inference for Diabetes Prediction.
    
  
    Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2021
    
  
    Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2021
    
  
  2020
    IET Circuits Devices Syst., 2020
    
  
Machine Learning Model Based Digital Hardware System Design for Detection of Sleep Apnea Among Neonatal Infants.
    
  
    Proceedings of the 63rd IEEE International Midwest Symposium on Circuits and Systems, 2020
    
  
Machine Learning Based Hardware Model for a Biomedical System for Prediction of Respiratory Failure.
    
  
    Proceedings of the 2020 IEEE International Symposium on Medical Measurements and Applications, 2020
    
  
Smart Infant-Monitoring System with Machine Learning Model to Detect Physiological Activities and Ambient Conditions.
    
  
    Proceedings of the 2020 IEEE International Instrumentation and Measurement Technology Conference, 2020
    
  
  2019
DC-DC Boost Converter Design with Maximum Power Point Tracker (MPPT) used in RF- Energy Harvester.
    
  
    Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2019