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- Computing and Processing
- Components, Circuits, Devices and Systems
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- Power, Energy and Industry Applications
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- General Topics for Engineers
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- Engineered Materials, Dielectrics and Plasmas
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Talal Ali Ahmed Abdullah
Also published under:Talal A. A. Abdullah
Affiliation
Computer and Information Sciences Department, Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia
Topic
Machine Learning,1D Convolutional Neural Network,Electrocardiogram Signals,F1 Score,Gated Recurrent Unit,Linear Model,Machine Learning Models,Perturbation Technique,QRS Complex,Anomalous Behavior,Anomaly Detection,Arrhythmia Classification,Attack Detection,Attack Patterns,Behavioral Model,Benchmark Datasets,Concept Drift,Convolutional Neural Network,Convolutional Neural Network Algorithm,Convolutional Neural Network Model,Custom Dataset,Data Generation,Data Streams,Decision-making Process,Deep Learning,Deep Learning Models,Denial Of Service,Distributed Denial Of Service,Ectopic Beats,Electrocardiogram Data,Electrocardiogram Recordings,Ensemble Method,Ensemble Model,Exploratory Technique,False Alarm Rate,Feature Engineering,Flow Statistics,Flow Table,Gated Recurrent Unit Layer,Gated Recurrent Unit Model,Gaussian Noise,Heatmap,Improvement In Stability,Individual Classes,Integration Of Machine Learning,Interpretable Machine Learning,Intrusion Detection,Intrusion Detection System,Learning Models,Legitimate Users,
Biography
Talal Ali Ahmed Abdullah received the B.Sc. degree in computer science from the Faculty of Science, Taiz University, Yemen, in 2014, and the M.Sc. degree in information technology from the Kulliyyah of Information and Communication Technology, International Islamic University Malaysia (IIUM), Malaysia, in 2019. He is currently pursuing the Ph.D. degree with the Computer and Information Sciences Department, Universiti Teknologi PETRONAS (UTP), Malaysia. His research interest includes machine learning techniques and their applications.