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Muhammad Usman Akram
Also published under:M. Usman Akram, Muhammad Akram, Muhammad Zohaib Akram, Muhammad Waqar Akram
Affiliation
National University of Sciences and Technology, Islamabad, Pakistan
Topic
Convolutional Neural Network,Deep Learning,Deep Learning Models,F1 Score,Machine Learning,Deep Learning Approaches,Mean Average Precision,Medical Imaging,Object Detection,Vision Transformer,Attention Mechanism,Chaotic System,Computed Tomography,Convolutional Neural Network Architecture,Convolutional Neural Network Model,Data Augmentation,Differential Attacks,Image Encryption,Image Size,Incremental Learning,Instance Segmentation,Intersection Over Union,K-nearest Neighbor,Language Model,Learning Algorithms,Learning Rate,Neural Network,Particle Swarm Optimization,Random Number,Secret Key,Security Analysis,Segmentation Model,Self-supervised Learning,Semantic Segmentation,Sentiment Analysis,Stochastic Gradient Descent,Support Vector Machine,Threat Category,Transfer Learning,Validation Metrics,XGBoost,2D Model,30-day Readmission,3D Computed Tomography,3D Data,Acute Myocardial Infarction,Acute Respiratory Distress Syndrome,Air Travel,Airport,Angina Patients,
Biography
Muhammad Akram received the B.S. degree in computer engineering from the Balochistan University of Information Technology, Engineering, and Management Sciences, Quetta, Pakistan, the M.S. degree in software engineering from Hamdard University, Pakistan, and the Ph.D. degree in computer engineering from Sungkyunkwan University, South Korea, in 2018. He is currently an Assistant Professor with the Department of Software Engineering, Balochistan University of Information Technology, Engineering, and Management Sciences. His research interests include wireless sensor networks, machine learning, and context-aware computing.