📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Anomaly Detection, Classification and Identification Tool (ADCIT) (2023)

First Author: Asefi S
Attributed to:  Supergen Energy Networks hub 2018 funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.simpa.2023.100465

Publication URI: http://dx.doi.org/10.1016/j.simpa.2023.100465

Type: Journal Article/Review

Parent Publication: Software Impacts

ISSN: 26659638