Abstract: The misuse of AI-generated techniques in face forgery has raised significant concerns, driving advancements in detection methods. However, existing algorithms struggle with generalization in ...

run edge detection on images (no ROS, just OpenCV), wrap that into ROS (service + live topics), project the detected edges into 3D using depth and visualize them together with the robot model in RViz.

Abstract: Here, we concentrate on one specific use case: Twitter identifying spam using the Stochastic Gradient Boosting (SGB) technique. In order to improve the predictability of prediction models, ...

Gradient Saliency on the encoder to attribute anomaly scores to input features. Permutation Feature Importance (PFI) for model-agnostic attribution of the anomaly score. Synthetic data generators for ...

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 .

Department of Cardiology, Heart Center, Faculty of Medicine, University of Cologne, Germany (D.M., J.S., H.G., S.B., R.P., V.M., P. von Stein). Center for ...

EDGE Group entity, ORYXLABS, and the UAE Cyber Security Council (CSC), partnered to produce four platforms covering attack surface management, threat detection, attack disruption, and data compliance ...

The researchers identify critical limitations that restrict the full realization of AI’s potential in mine safety. A major ...

State Key Laboratory of Infrared Science and Technology, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China University of Chinese Academy of Sciences, Beijing ...