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- Computing and Processing
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Norulhusna Ahmad
Also published under:N. Ahmad, Norulhusna Binti Ahmad
Affiliation
Faculty of Artificial Intelligence, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia
Topic
Deep Learning,Machine Learning,Neural Network,Convolutional Neural Network,Artificial Neural Network,Bounding Box,Deep Learning Models,Deep Reinforcement Learning,Generative Adversarial Networks,Machine Learning Models,Mean Average Precision,Object Detection,Recurrent Neural Network,Support Vector Machine,You Only Look Once,Audio Data,Batch Size,COVID-19 Infection,Computation Time,Computer Vision,Convolutional Layers,Deep Convolutional Neural Network,Deep Neural Network,Detection System,F1 Score,Feed-forward Network,Forward Error Correction,Image Quality,Intersection Over Union,Latent Space,Leaf Diseases,Learning Algorithms,Learning Rate,Machine Learning Techniques,Network Throughput,Non-orthogonal Multiple Access,Packet Loss,Plant Disease,Random Forest,Resource Block,Reward Function,Service Quality,Wireless,Wireless Networks,Acceptable Quality,Accuracy And Precision,Active Speaker,Active Speaker Detection,Actor Network,Additive Noise,
Biography
Norulhusna Ahmad (Senior Member, IEEE) received the master’s degree in electrical engineering (telecommunication) and the Ph.D. degree in electrical engineering from the Universiti Teknologi Malaysia (UTM), Kuala Lumpur, in 2003 and 2014, respectively. She is currently a Senior Lecturer with the Razak Faculty of Technology and Informatics, UTM. Her current research interests include future communication theory, the massive IoT technologies, UAV communication, multiple access techniques, and green energy communications.