Data-driven prediction methods for real-time indoor fire scenario inferences

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A review on enhancing energy efficiency and adaptability through system integration for smart buildings

I Ahmed, M Asif, HH Alhelou, M Khalid - Journal of Building Engineering, 2024 - Elsevier
The increasing need for reducing carbon emissions and promoting smart, energy-saving
buildings is fueling the rising trend of sophisticated control systems. This study provides …
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[HTML][HTML] A deep learning–based surrogate model for spatial-temporal temperature field prediction in subway tunnel fires via CFD simulation

ZC **e, ZD Xu, PP Gai, ZH **a, YS Xu - Journal of Dynamic Disasters, 2025 - Elsevier
The smoke temperature and toxic gas generated by subway tunnel fires threaten trapped
personnel and hinder rescue work. In this study, with a view to ensuring that smoke …
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Study on temperature prediction of subway tunnel fire based on improved GA-BP algorithm

Y Zhu, Z Wu, G Zhu, M Peng - Journal of Thermal Analysis and …, 2024 - Springer
In order to predict the fire heat release rate (HRR) and tunnel temperature field during
subway tunnel fires more accurately, a novel approach based on an improved genetic …
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