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Abdus Samad
Also published under:Md Abdus Samad, M. Abdus Samad
Affiliation
Department of Ocean Engineering, IIT Madras, Chennai, India
Topic
Convolutional Neural Network,Long Short-term Memory,Machine Learning,Deep Learning,Support Vector Machine,Convolutional Neural Network Model,Deep Learning Models,Machine Learning Models,Artificial Neural Network,Feature Engineering,Machine Learning Techniques,Neural Network,Convolutional Layers,Explainable Artificial Intelligence,F1 Score,Hybrid Model,Learning Algorithms,Learning Models,Model Performance,Multi-label,Multilayer Perceptron,AdaBoost,Agricultural Sector,Antenna Height,Artificial Intelligence Applications,Artificial Intelligence Techniques,Bibliometric Analysis,Binary Classification,Crop Yield,Decision Tree,Delay Spread,Ensemble Technique,Gated Recurrent Unit,Gradient Boosting,Image Processing,K-nearest Neighbor,Leaf Images,Linear Model,ML Models,Mean Absolute Error,Operating Frequency,Particle Swarm Optimization,Path Loss,Path Loss Exponent,Recurrent Neural Network,Renewable Energy,Root Mean Square Error,SHapley Additive exPlanations,SHapley Additive exPlanations Values,Short-term Memory,
Biography
Md Abdus Samad (Member, IEEE) received the Ph.D. degree in information and communication engineering from Chosun University, Gwangju, South Korea. He was an Assistant Professor with the Department of Electronics and Telecommunication Engineering, International Islamic University Chittagong, Chattogram, Bangladesh, from 2013 to 2017. He has been a Research Professor with the Department of Information and Communication Engineering, Yeungnam University, South Korea. His research interests include signal processing, antenna design, electromagnetic wave propagation, applications of artificial neural networks, deep learning, and millimeter-wave propagation by interference and/or atmospheric causes for 5G and beyond wireless networks. He won the prestigious Korean Government Scholarship (GKS) for his Ph.D. study.