Deep learning-based adversarial multi-classifier optimization for cross-domain machinery fault diagnostics
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Manufacturing Systems"
DOI: 10.1016/j.jmsy.2020.04.017
Abstract: Abstract Despite the recent success in data-driven machinery fault diagnosis, cross-domain diagnostic tasks still remain challenging where the supervised training data and unsupervised testing data are collected under different operating conditions. In order to address… read more here.
Keywords: adversarial multi; cross domain; domain; machinery fault ... See more keywords
Earning While Learning: An Adversarial Multi-Armed Bandit Based Real-Time Bidding Scheme in Deregulated Electricity Market
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Network Science and Engineering"
DOI: 10.1109/tnse.2022.3185060
Abstract: As the specific incarnation of cyber-physical-social systems, in deregulated electricity market, the market gaming behaviors may have significantly affected the costs of electricity delivered to the market. Especially, from the supply side, the primary goal… read more here.
Keywords: market; adversarial multi; deregulated electricity; bidding ... See more keywords