1 citations · 1 across the 4 of their papers we have counts for
4 papers
Yes, DLGM! A novel hierarchical model for hazard classification
Zhenhua Wang, Ming Ren, Dong Gao +1
Hazards can be exposed by HAZOP as text information, and studying their classification is of great significance to the development of industrial informatics, which is conducive to…
A new hazard event classification model via deep learning and multifractal
Zhenhua Wang, Bin Wang, Ming Ren +1
Hazard and operability analysis (HAZOP) is the paradigm of industrial safety that can reveal the hazards of process from its node deviations, consequences, causes, measures and sug…
A Zipf's Law-based Text Generation Approach for Addressing Imbalance in Entity Extraction
Zhenhua Wang, Ming Ren, Dong Gao +1
Entity extraction is critical in the intelligent advancement across diverse domains. Nevertheless, a challenge to its effectiveness arises from the data imbalance. This paper propo…
Why KDAC? A general activation function for knowledge discovery
Zhenhua Wang, Dong Gao, Haozhe Liu +1
Deep learning oriented named entity recognition (DNER) has gradually become the paradigm of knowledge discovery, which greatly promotes domain intelligence. However, the current ac…