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- Computing and Processing
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Myasar Mundher Adnan
Also published under:Myasar Mundher adnan, Myasar M. Adnan
Affiliation
Department of Computer Science, The Islamic University, Najaf, Iraq
Topic
Neural Network,Deep Learning,Convolutional Neural Network,Recurrent Neural Network,Deep Neural Network,Support Vector Machine,Long Short-term Memory,Artificial Neural Network,Optimization Algorithm,Internet Of Things,Convolutional Layers,Learning Algorithms,Machine Learning,K-nearest Neighbor,Performance Metrics,Short-term Memory,Convolutional Network,F1 Score,Convolutional Neural Network Model,Multilayer Perceptron,Random Forest,Cloud Computing,Deep Convolutional Neural Network,Deep Learning Models,Feature Maps,Generative Adversarial Networks,Hyperparameter Tuning,Particle Swarm Optimization,Transfer Learning,Anomaly Detection,Ant Colony Optimization,Attention Mechanism,Bidirectional Long Short-term Memory,Data Augmentation,Machine Learning Approaches,Service Quality,Computer-aided Diagnosis,Deep Reinforcement Learning,Facial Expressions,Gated Recurrent Unit,Gradient Boosting,Hidden Layer,Hidden State,Image Classification,Intrusion Detection,Intrusion Detection System,Load Balancing,Min-max Normalization,Training Data,Whale Optimization Algorithm,
Biography
Myasar Mundher Adnan received the B.E. degree in computer science from Alkufa University, Iraq, in 2011, and the M.S. degree in computer science from UTM, in 2014, where he is currently pursuing the Ph.D. degree. His current research interests include deep learning, image processing, and machine learning.