To avoid the hazards of vented flame and external explosion caused by hydrogen-air
explosion venting, the effects of metal foam and carbon dioxide on the characteristics of …

Natural language processing (NLP) based on deep learning provides a positive
performance for generative dialogue system, and the transformer model is a new boost in …

Accurate wind speed forecasting plays a crucial role in the efficient and economical
management of power supply systems. In this study, a novel framework combining …

The common risk of high-pressure hydrogen leakage seriously affects the safety of hydrogen
refueling stations (HRS). In this study, we have developed a hybrid model (WD-KNN-CNN) …

Accurate and efficient localization of hydrogen leakage is crucial for ensuring the safe and
stable operation of hydrogen refueling stations. In this paper, a hybrid model (CEEMDAN …

To improve the detection accuracy of gas pipeline leakage detection (PLD) especially when
the leakage is weak, we propose a hybrid deep learning model, named EMDet in this paper …

Water distribution networks (WDNs) experience significant water loss due to leaks,
necessitating advanced water leak detection methods. However, machine learning-based …

Green hydrogen is a clean energy, and its application scenarios have become increasingly
diverse with the development of hydrogen energy equipment. To ensure the safe use of …

The accidental leakage of gaseous hydrogen from hydrogen refueling station facilities has
the potential to result in a large fire and explosion catastrophe. The ability to forecast the …

Blow-outs occurred on offshore platform and associated fires have been recurrent during the
previous few decades, and poses a potential safety hazard to humans, property and the …