Awurum, N.P. (2025) Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience. Open Access Library Journal, 12, 1-17. doi: 10.4236/oalib.1114210 .
D 3 Former: Dual-Decoder Dual-Transformer Reconstruction Network for Hyperspectral Anomaly Detection
Abstract: Hyperspectral anomaly detection (HAD) aims to identify and locate anomalous targets in hyperspectral image (HSI) data that are significantly different from the surrounding background or ...
Kalyana Krishna Kondapalli, a patented AI innovator and educator who trained 50,000+ students, now leads U.S. government ...
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
Pipeline 1 (VAE - Scenario Generation): • Input: macro_features.csv (FRED + Market) • Purpose: Generate stress test scenarios • Shape ...
Abstract: The increasing complexity and volume of network traffic have made anomaly detection a critical challenge in cybersecurity. Traditional methods often struggle to balance accuracy and ...
1 Analytics Department, School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India 2 Department of Data Science, School of Computer Science and Engineering ...
College of Informatics, Huazhong Agricultural University, Wuhan, Hubei 430070, China ...
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