Mohd Azri Mohd Izhar

Employment

• Universiti Teknologi Malaysia Senior Lecturer
  2009 - Present

Education

• Universiti Teknologi Malaysia PhD
  2010 - Present
• University of Sheffield MEng
  2004 - 2008

Projects & Funding

Projects & funding information is unavailable.

Publications (26)

• A Comprehensive Review on Wireless Healthcare Monitoring: System Components
  IEEE Access 2024 DOI: 10.1109/ACCESS.2024.3349547
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• A Review on Machine Learning for Channel Coding
  IEEE Access 2024 DOI: 10.1109/ACCESS.2024.3412192
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• Active Speaker Detection Using Audio, Visual, and Depth Modalities: A Survey
  IEEE Access 2024 DOI: 10.1109/ACCESS.2024.3426670
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• Correction to “A Comprehensive Review on Wireless Healthcare Monitoring: System Components”
  IEEE Access 2024 DOI: 10.1109/ACCESS.2024.3487432
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• Critical assessment of medical devices on reliability, replacement prioritization and maintenance strategy criterion: Case study of Malaysian hospitals
  Quality and Reliability Engineering International 2024 DOI: 10.1002/qre.3447
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• Factors Influencing Healthcare Workers' Knowledge of COVID-19: A Cross-Sectional Study in Malaysia
  Open International Journal of Informatics 2023 DOI: 10.11113/oiji2023.11n2.288
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• Comparison of Wireless Sensor Node Localisation between Trilateration and Multi-Lateration Methods Using RSSI
  Proceedings of the 2022 IEEE Symposium on Future Telecommunication Technologies, SOFTT 2022 2022 DOI: 10.1109/SOFTT56880.2022.10010299
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• Performance Evaluation of the Azure Kinect Body Tracking Algorithm for Multi-Speaker Tracking
  Proceedings of the 2022 IEEE Symposium on Future Telecommunication Technologies, SOFTT 2022 2022 DOI: 10.1109/SOFTT56880.2022.10009962
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• Computation offloading and content caching and delivery in Vehicular Edge Network: A survey
  Computer Networks 2021 DOI: 10.1016/j.comnet.2021.108228
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• Enhancement of Antenna Array Bandwidth through Matching Impedance Modification Using Double Stub Matching on Feeding
  Proceedings of the 2021 IEEE Symposium on Future Telecommunication Technologies, SOFTT 2021 2021 DOI: 10.1109/SOFTT54252.2021.9673147
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