Fayha Almutairy

Also published under:Fayha ALmutairy

Affiliation

Department of Computer Science, Shaqra University, Shaqra, Saudi Arabia
Department of Computer Science, University of Vermont, Burlington, VT, USA

Topic

Deep Learning,Convolutional Neural Network,Deep Neural Network,False Data Injection Attacks,Injection Attacks,Long Short-term Memory,Power System,AC State,AC State Estimation,Activation Function,Additive Noise,Advanced Driver Assistance Systems,Asset Management,Automotive Industry,Autonomous Vehicles,Benchmark,Bidirectional Long Short-term Memory,Bounding Box,Computer Vision,Convolutional Network,Decoder Part,Denoising Autoencoder,Dense Layer,Depth Model,Detection Methods,Dilated Convolution,Encoder Part,Gated Recurrent Unit,Handcrafted Features,Hyperparameter Tuning,Light Signal,Machine Learning,Machine Learning Methods,Major Towns,Mean Square Error,Network Topology Information,Neural Network,Object Detection,Original Input,Output Layer,Performance Of Detection Methods,Performance Of Method,Phasor Measurement Units,Power Grid,Power System Applications,Range Of Signs,Receptive Field,Recurrent Neural Network,Region Of Interest Extraction,Region Proposal,

Biography

Fayha Almutairy received the B.S. and M.S. degrees in computer science from King Saud University, Riyadh, Saudi Arabia. She is currently pursuing the Ph.D. degree in computer science with the University of Vermont. She is also a Lecturer with Shaqra University. Her research interests include machine learning, smart grids, and cyber security.