The fines were collected through the newly implemented e-detection system from Aug 7, 2024 to April 7, 2025, as vehicles passed through various toll plazas across the state. The e-detection system ...

In efforts to make Metro safer for riders and operators, the transit system rolled out new weapons detection technology that it is testing at two stations in hopes of finding a permanent safety ...

Endpoint detection and response (EDR) empowers security teams to identify and eliminate threats that evade traditional ...

Q1 2025 Management View CEO Tony Scott highlighted achieving the fourth consecutive quarter of sequential revenue growth, driven by increased demand for products across domestic and Asia-Pacific ...

Abstract: The machine learning-based approach to network intrusion detection presents a groundbreaking research paradigm, positioned to replace traditional rule-based and signature-based methods.

In this paper, we propose a federated learning framework for intrusion detection on IoT networks that incorporates a distributed storage system based on the Ethereum blockchain, enhancing the security ...

This project implements a Federated Learning approach for Network Intrusion Detection Systems. Instead of centralizing all network data (which may contain sensitive information), the system uses ...

The funds are earmarked for the final stages of clinical validation and to accelerate the regulatory approval process of its UllCORE diagnostic system for pathogen detection. Columbus Venture Partners ...

We propose the unsupervised AutoTSAD system, which parameterizes, executes, and ensembles various highly effective anomaly detection algorithms. The ensembling system automatically presents an ...