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Shakir A. H. Alhuthali
Also published under:Shakir Ahmed Hameed Alhuthali
Affiliation
Department of Electrical and Computer Engineering, King Abdulaziz University, Jeddah, Saudi Arabia
Topic
Access Control,Anti-collision Algorithms,Application Programming Interface,Artificial Neural Network,Background Subtraction,Binary Image,Bit Error Rate,Blind Source Separation,Carrier Frequency,Circuit Design,Collision Happens,Complex Gaussian Distribution,Computer Vision,Computer Vision Techniques,Convolutional Neural Network,Cyclic Redundancy Check,Detection Technology,Frame Length,Frame Size,Gaussian Mixture Model,Image Processing Techniques,Intelligent Transportation Systems,Intensity Values,Internet Of Things,Internet Of Things Systems,Large Farms,Light Signal,Lower Frame,Month Of Ramadan,Morphological Techniques,Multiple Tags,Number Of Experiments,Object Detection,Precision Agriculture,Precision Agriculture Applications,Present System,Radio Frequency Identification,Radio Frequency Identification Reader,Radio Frequency Identification Tags,Reading Times,Receiver Antenna,Reflection Coefficient,Road Surface,Simulation Setup,Single Camera,Successful Reading,Suitable Locations,System Architecture,Throughput,Time Slot,
Biography
Shakir A. H. Alhuthali received the master’s degree in electric and computer engineering from King Abdulaziz University, Jeddah, Saudi Arabia, in 2014, where he is currently pursuing the Ph.D. degree.
He has been a Researcher with Umm Al Qura University, Makkah, Saudi Arabia, since 2008. He has served as a Laboratory Instructor for Computer Engineering Department and provided tutorial classes for students. His research interests include computer vision, the Internet of Things, and reliability by using Boolean equations.
He has been a Researcher with Umm Al Qura University, Makkah, Saudi Arabia, since 2008. He has served as a Laboratory Instructor for Computer Engineering Department and provided tutorial classes for students. His research interests include computer vision, the Internet of Things, and reliability by using Boolean equations.