Early accurate identification of luffa crop diseases is essential for timely treatment and high-quality agricultural production. Currently, luffa disease diagnosis relies solely on manual field inspection, which is labor-intensive and error-prone, and lacks assessment uniformity. While deep learning-based diagnostic me...
Rolling element bearings are critical components in rotating machinery, yet assessing and predicting their reliability under heavy industrial noise remains challenging. Existing methods suffer from three major limitations: (1) single-channel signal processing and single-scale indicators lack robustness against non-stat...
Yifan Yu, Shu-Xi Chen, Li-Ting Lei et al.· Journal of Manufacturing and...· 0 citations
A distributed data privacy protection framework tailored for multiscale collaborative optimization of electric vehicle clusters was proposed, which mitigated single-point failures and trust issues commonly found in centralized scheduling systems.
Haiyan Cao, Jianlin Qiu, Xiao-Dan Cai et al.· International Journal of Inf...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.