4 papers indexed
Youcheng Zong, Runda Jia, Minxuan Hu, Weilan Su, Dakuo He
Segmenting slender curvilinear structures such as retinal vessels, cracks, and roads demands topological correctness, as even a single-pixel discontinuity can fragment a continuous network and invalidate downstream analysis. Under standard binary-mask supervision, models optimize…
Youcheng Zong, Runda Jia, Ranmeng Lin, Mingxuan Ren, Dakuo He
Process industries have accumulated validated specialist models, yet sensor drift, feedstock variation, and regime switching cause these models to degrade systematically in new scenarios. Collecting new labeled data and retraining is costly, while continuing with the original mod…
Youcheng Zong, Runda Jia, Mingxuan Ren, Dakuo He
Process industries rely on time-series forecasting and soft sensing to estimate quality variables that are hard to measure online. Labeled data are scarce, operating regimes change frequently, and retraining models or rebuilding alignment pipelines for each scenario is costly. Su…
Youcheng Zong, Runda Jia, Dakuo He
Industrial prediction and soft sensing depend on credible input measurements. In field deployment, a predictor may receive biased, delayed, stale, or derived measurements that still look plausible. Prediction can then fail before the forecasting backbone becomes the main limitati…