A key highlight of IRP v4.3 is the introduction of Automatic Anomaly Detection (AAD) - a new capability designed to identify abnormal traffic behavior and mitigate threats directly at the network edge ...
Abstract: Modulation recognition is critical in intelligent wireless communication, yet deep learning-based automatic modulation classification (AMC) models are vulnerable to adversarial attacks, ...
1 Department of Physics and Chemistry, University Iba Der Thiam of Thies, Thies, Senegal. 2 Applied Research Unit for Renewable Energies, University of Nouakchott, Nouakchott, Mauritania. Flexible ...
All fields interested in genetics have roots in studying resemblance among relatives, making efficient handling of large-scale pedigree data critical (Sham, 1996; Polubriaginof et al., 2018). Manually ...
With the increase of human travel, aviation activities become more frequent, and flight safety gains more attention. Faults in aircraft engine turbine blades seriously threaten flight safety, while ...
Abstract: Automatic modulation classification (AMC) enables automated wireless spectrum anomaly detection, facilitating efficient spectrum enforcement. Deep neural networks (DNNs), characterized by ...
Integrated Bioanlaysis, Clinical Pharmacology and Safety Sciences (CPSS), AstraZeneca R&D, Cambridge CB4 0WG, U.K. Department of Radiology, University of Cambridge School of Clinical Medicine, ...
Research Paper: Automatic Hate Speech Detection using Ensemble Method and Natural Language Processing Techniques A model that incorporates TF-IDF vectorization for feature extraction and employs an ...
Technology continues to make driving safer. That’s the message from a new study, which found automatic emergency braking systems have significantly improved when it comes to detecting pedestrians at ...
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