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ORCIDMohammad Shiblee
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2020 – today
- 2022
[j5]Mohammed Zubair M. Shamim
, Sadatullah Syed, Mohammad Shiblee, Mohammed Usman, Syed Jaffar Ali, Hany S. Hussein, Mohammed Farrag:
Automated Detection of Oral Pre-Cancerous Tongue Lesions Using Deep Learning for Early Diagnosis of Oral Cavity Cancer. Comput. J. 65(1): 91-104 (2022)- [j4]Mohammed Zubair M. Shamim, Sattam Alotaibi, Hany S. Hussein, Mohammed Farrag, Mohammad Shiblee:
Diagnostic Accuracy of Smartphone-Connected Electrophysiological Biosensors for Prediction of Blood Glucose Level in a Type-2 Diabetic Patient Using Machine Learning: A Pilot Study. IEEE Embed. Syst. Lett. 14(1): 27-30 (2022) - 2021
- [j3]Aziz Alotaibi, Mohammad Shiblee, Adel Alshahrani:
Prediction of Severity of COVID-19-Infected Patients Using Machine Learning Techniques. Comput. 10(3): 31 (2021) - 2020
- [j2]A. Abdul Sathar, P. Muneer, V. P. Thafasal Ijyas, Mohammed Usman, Mohammed Zubair M. Shamim, Mohammad Shiblee:
Filter-Bank Modulation Based Signal Design and Transmission Techniques for Intensity Modulated MIMO Visible Light Communication Systems. Wirel. Pers. Commun. 111(2): 1129-1150 (2020)
2010 – 2019
- 2019
- [i1]Mohammed Zubair M. Shamim, Sadatullah Syed, Mohammad Shiblee, Mohammed Usman, Syed Ali:
Automated detection of oral pre-cancerous tongue lesions using deep learning for early diagnosis of oral cavity cancer. CoRR abs/1909.08987 (2019) - 2018
- [j1]Mohammed Usman, Mohammed Zubair, Mohammad Shiblee, Paul Rodrigues, Syed Jaffar Ali:
Probabilistic Modeling of Speech in Spectral Domain using Maximum Likelihood Estimation. Symmetry 10(12): 750 (2018)
Coauthor Index
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