A fire hazard level classification method using deep learning models optimized by an improved dung beetle optimization algorithm

Research on temperature distribution and risk prediction of underground transformer fires: Experimental study, deep learning and numerical simulations

Changyang Zhang, Xu Zhai, Weiguang Kong, Hanchao Ma, Jianping Zhang, Jinlong Zhao

Advanced machine learning approach using Kolmogorov-Arnold Networks (KANs) and comparison with RSM for optimization of biodiesel yield from palm based waste cooking oil

Abdul Rehman, Zhang Yunhe, Ding Zhou, Fayaz Hussain, Luqman Razzaq, Meor Faisal Zulkifli, et al.

ANFIS based effectiveness and number of transfer units predictions of MWCNT/water nanofluids flow in a double pipe U-bend heat exchanger

L. Syam Sundar, B. Deepanraj, Hiren Mewada

In this study, the heat transfer coefficient, Nusselt number, effectiveness and number of transfer units of water mixed multi-walled carbon nanotubes nanofluids passes through a tube-in-tube heat exchanger was experimentally investigated. Investigations were performed in the oper…Read more

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