Deep learning-based dispersion prediction model for hazardous chemical leaks using transfer learning
X Han, J Zhu, H Li, W Xu, J Feng, L Hao… - Process Safety and …, 2024 - Elsevier
Abstract Machine learning has been employed for the rapid and accurate prediction of gas
leak dispersion. However, existing models require extensive high-precision numerical …
leak dispersion. However, existing models require extensive high-precision numerical …
Predicting possible recommendations related to causes and consequences in the HAZOP study worksheet using natural language processing and machine learning …
A set of recommendations is one of the most valuable outputs of the hazard and operability
(HAZOP) study. The HAZOP study team provides recommendations when deficiencies are …
(HAZOP) study. The HAZOP study team provides recommendations when deficiencies are …
Prediction of external corrosion rate for buried oil and gas pipelines: a novel deep learning with DNN and attention mechanism method
Y Guang, W Wang, H Song, H Mi, J Tang… - International Journal of …, 2024 - Elsevier
Buried pipelines is easily subjected to external corrosion affected by complex underground
environment, such as soil resistivity, pH, dissolved ion concentration, water content and …
environment, such as soil resistivity, pH, dissolved ion concentration, water content and …