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Anas M. Ali
Also published under:Anas Mohsen Ali
Affiliation
Topic
Convolutional Neural Network,Deep Learning Models,Feature Maps,Global Features,High-resolution Images,Input Image,L1 Loss,Mean Opinion Score,Peak Signal-to-noise Ratio,Reference Image,Structural Similarity Index Measure,Binary Cross-entropy Loss Function,Blurred Images,Brain Tumor Classification,Brain Tumor Patients,Cast Shadows,Classification Of Tumors,Clear Image,Color Consistency,Computational Cost,Customer Service,Data Augmentation,Dehazing Challenge,Dermoscopic Images,Dermoscopy,Diagnosis Of Disease,Diffusion Model,Early Detection,Early Detection Of Cancer,Error Matrix,Exponential Linear Unit,Extra Data,Extreme Learning Machine,Fast Fourier Transform,Feed-forward Network,Forward Process,Frequency Components,
Biography
Anas M. Ali was born in Alexandria, Egypt. He received the B.Sc. degree (Hons.) in electronics and communication engineering from the Alexandria Higher Institute of Engineering and Technology (AIET), Alexandria, Egypt, in 2016, and the M.Sc. degree in communications and electronics engineering from Menoufia University, in 2021. He is currently a Researcher Assistant with the Robotics and Internet-of-Things Laboratory, Prince Sultan University, Riyadh, Saudi Arabia. His research interests include image and video signal processing, medical image processing, the Internet of Things, medical diagnoses applications, image and video magnification, artificial intelligence for signal processing algorithms, deep learning in signal processing, modulation identification and classification, and image restoration.