AI's role in predictive analytics for energy savings helps Smart Cities manage resources more efficiently, say experts ...

Flow Metals is pleased to report that the YESAB (Yukon Environmental and Socio-economic Assessment Board) application for the ...

Contribute to Crowd-Flow-Anomaly-Detection/web_and_yolo_sql development by creating an account on GitHub.

The data represents network activity during a one-hour period, including source and destination IP addresses, protocols, and packet sizes. Using visualization techniques, this study delves into ...

In recent years, low recall rates and high dependencies on data labelling have become the biggest obstacle to developing deep anomaly detection (DAD) techniques. Inspired by the success of generative ...

Although a few commonly used datasets may not reflect realistic ICS network data, lack necessary features for effective anomaly detection, or be outdated. This paper introduces the ‘ICS-Flow’ dataset, ...

We define two types of robustness evaluation indicators based on network maximum flow: flow capacity robustness, which assesses the ability of the network to resist attack, and flow recovery ...

To fully explore the resulting high-dimensional single cell datasets, high-dimensional analysis is needed, as opposed to the common practice of manual gating in conventional flow cytometry. However, ...