3 papers
cs.AI2026
NSR-Boost: A Neuro-Symbolic Residual Boosting Framework for Industrial Legacy Models
Ziming Dai, Dabiao Ma, Jinle Tong +5
Although the Gradient Boosted Decision Trees (GBDTs) dominate industrial tabular applications, upgrading legacy models in high-concurrency production environments still faces prohi…
cs.CE2026
Deep Generative Models in Condition and Structural Health Monitoring: Opportunities, Limitations and Future Outlook
Xin Yang, Chen Fang, Yunlai Liao +3
Condition and structural health monitoring (CM/SHM) is a pivotal component of predictive maintenance (PdM) strategies across diverse industrial sectors, including mechanical rotati…
cs.CV2026
Out-of-Distribution Detection Based on Total Variation Estimation
Dabiao Ma, Zhiba Su, Jian Yang +1
This paper introduces a novel approach to securing machine learning model deployments against potential distribution shifts in practical applications, the Total Variation Out-of-Di…