Our project partners from UPM and TID have successfully submitted a paper titled “A Methodological Framework for Optimizing the Energy Consumption of Deep Neural Networks A Case Study of a Cyber Threat Detector”. This paper has been accepted for publication in the prestigious, peer reviewed journal Neural Computing and Applications, published by Springer. The journal is indexed in the Journal Citation Reports and was ranked in the Q2 category under Computer Science, Artificial Intelligence with a Journal Impact Factor of 6.0 (2022) at the time of publication.
The publication (DOI: 10.1007/s00521-024-09588-z) is available online, and you may access it by following this link: https://doi.org/10.1007/s00521-024-09588-z
Congratulations to the authors!
