IEEE

Network Intrusion Detection System Using Machine Learning and Ns2 in Smart City Networks

Abstract: This research pioneers an NS2 (Network Simulator 2)-driven Network Intrusion Detection System (NIDS) for smart city cybersecurity, leveraging NS2's discrete-event simulation to model ...

Rhino Restoration Identifies Top Five Hidden Water Damage Sources in Tampa Bay Homes

Restoration Experts Share Critical Warning Signs Property Owners Often Overlook Until Costly Damage Occurs TAMPA, FL, ...
The Business & Financial Times

The importance of networking in today’s cybersecurity industry

By Ben TAGOE In the modern cybersecurity landscape, computer networking serves as both the foundation of organizational ...
Forbes India

Synthetic Data: The new backbone of next gen cybersecurity

Synthetic data allows regulators to test the resilience of critical infrastructure defenders under extreme hypothetical scenarios.
BMJ

Machine learning methods, applications and economic analysis to predict heart failure hospitalisation risk: a scoping review

Background Machine Learning (ML) has been transformative in healthcare, enabling more precise diagnostics, personalised treatment regimens and enhanced patient care. In cardiology, ML plays a crucial ...
IEEE

Web Attack Intrusion Detection System Using Machine Learning Approaches for Cybersecurity

Abstract: This paper presents a real-time intrusion detection system (IDS) for web attacks that leverages machine learning techniques applied to web server logs. The increasing sophistication of web ...
GitHub

Steel Defect Detection with YOLOv8

The dataset is already organized in YOLO format in the steel_dataset/ directory. If you need to reorganize from original format, see utility/reorganize_dataset.py. steel-defect-detection/ ├── ...