[HTML][HTML] AIoT-powered building digital twin for smart firefighting and super real-time fire forecast

W Xie, Y Zeng, X Zhang, HY Wong, T Zhang… - Advanced Engineering …, 2025 - Elsevier
Complex dynamics inherent of building fire poses big challenges to firefighting and rescue,
especially with limited access to critical fire-hazard information. This work proposes the …

A hydrogen concentration evolution prediction method for hydrogen refueling station leakage based on the Informer model

Q Wu, Y Bi, J Shi, S Wang, C Zhang, S Huang… - International Journal of …, 2025 - Elsevier
The utilization of hydrogen energy contributes to the alleviation of energy crisis and
environmental pollution. Hydrogen refueling stations are essential for hydrogen energy …

Hyper real-time flame detection: Dynamic insights from event cameras and FlaDE dataset

S Ding, H Zhang, Y Zhang, X Huang, W Song - Expert Systems with …, 2025 - Elsevier
Bio-inspired sensors known as event cameras offer significant advantages over traditional
frame-based RGB cameras, particularly in overcoming challenges like static backgrounds …

Human risk recognition and prediction in manned submersible diving tasks driven by deep learning models

Y Qiao, H Li, D Chen, H Zhao, L Ma, Y Wang - Advanced Engineering …, 2024 - Elsevier
The complexity of human cognition is increased by the multiple and interactive information
clusters brought about by the application of advanced intelligent information technologies …

Prediction and comparison of burning rate of n-heptane pool fire in open space based on BPNN and XGBoost

P Xu, Y Bi, J Chen, S Wang, J Shi, S Huang… - Process Safety and …, 2024 - Elsevier
Pool fires pose a threat to the safety and environmental protection of industrial production.
The burning rate is one of the most important burning parameters that determines the …

A multi-task machine learning approach for data efficient prediction of blast loading

Q Li, L Li, Y Shao, R Wang, H Hao - Engineering Structures, 2025 - Elsevier
Accurate and efficient prediction of blast loading is critical for structural protection and safety
management across various industries. With advancement in AI algorithms, various Machine …