Generative adversarial network to alleviate information insufficiency in intelligent fault diagnosis by generating continuations of signals
Z Dai, L Zhao, K Wang, Y Zhou - Applied Soft Computing, 2023 - Elsevier
This paper introduces Con-GAN, an innovative improvement of GAN-based data
augmentation designed to address data insufficiency in fault diagnosis methodologies …
augmentation designed to address data insufficiency in fault diagnosis methodologies …
Low-Resource Cross-Domain Singing Voice Synthesis via Reduced Self-Supervised Speech Representations
In this paper, we propose a singing voice synthesis model, Karaoker-SSL, that is trained
only on text and speech data as a typical multi-speaker acoustic model. It is a low-resource …
only on text and speech data as a typical multi-speaker acoustic model. It is a low-resource …
Evasion Scheme for Intrusion Detection System Based on Demgan
D Xu, Y Lv, C Zhang, M Wang, J Zhao - Available at SSRN 4868511 - papers.ssrn.com
Network intrusion detection systems (IDS) are often an effective means of blocking attacks
on network traffic. Currently, IDS are mainly based on machine learning (ML) models, but …
on network traffic. Currently, IDS are mainly based on machine learning (ML) models, but …