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Fahad Taha Al-Dhief
Also published under:Fahad Taha AL-Dhief, F. T. AL-Dhief
Affiliation
Faculty of Electrical Engineering, Universiti Teknologi Malaysia Johor, Bahru, Malaysia
Topic
Machine Learning,Support Vector Machine,Mel-frequency Cepstral Coefficients,Voice Disorders,Fast Fourier Transform,Pathological Classification,Voice Pathology,Detection Of Pathology,Discrete Cosine Transform,Dysphonia,Extreme Learning Machine,Learning Algorithms,Voice Features,Artificial Neural Network,Classification Of Samples,Confusion Matrix,Convolutional Neural Network,Healthy Ones,Internet Of Things,K-nearest Neighbor,Laryngitis,Long Short-term Memory,Normal Class,Pathological Samples,Support Vector Machine Algorithm,5G Applications,Ability Of The Model,Absence Of Integration,Acoustic,Anechoic Chamber,Antenna Array,Antenna Design,Audio Data,Audio Files,Audio Recordings,Balanced Dataset,Big Data,Cardiovascular Disease,Cellular Networks,Chronic Disease,Chronic Heart Disease,Chronic Hypertension,Classification Algorithms,Cohen’s Kappa,Conditional Random Field,Continuous Wave,Data Storage,Decision Tree,Decision Tree Algorithm,Deep Learning,
Biography
Fahad Taha Al-Dhief (Student Member, IEEE) was born in Amarah, Iraq. He received the B.S. degree in software engineering from Imam Ja’afar Al-Sadiq University, Iraq, in 2013, and the M.S. degree in computer science from Universiti Kebangsaan Malaysia, Malaysia, in 2016. He is currently pursuing the Ph.D. degree with the School of Electrical Engineering, Universiti Teknologi Malaysia, Malaysia. His research interests are sensor networks, routing protocols, mobile ad-hoc networks, social networks, the Internet of Things, machine learning, artificial neural networks, deep learning, and location-based service. He is a member of the IEEE Communications Society.