Author

H. Phuluwa

3 papers indexed here

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Open access Aug 2026

Optimization of surface roughness and tool life during the milling of zirconium alloy using response surface methodology and machine learning model

Commercially, zirconium alloys are beneficial for nuclear power generation with the capacity to increase electricity output. This study employed the Response Surface Methodology (RSM) and Machine Learning (ML) model validated by physical machining experiments to investigate the surface roughness (SR) and tool life (TL)...

I. Daniyan, H. Phuluwa · The International Journal of... · 0 citations

Open access Aug 2026

Deep learning-based time-series solar power prediction for automatic multisource energy generation systems

CNN-LSTM achieved a significantly high performance comparable to TCN-EMLP and the transformer model, and LSTM-AE showed superior performance relative to TCN-EMLP, LSTM-AE, and the transformer model.

N. A. Akinrinade, A. Onawumi, E. Sangotayo et al. · Frontiers of Mechanical Engi... · 0 citations

#explainable ai Open access Sep 2026

Explainable deep learning with novel marine domain metrics for oil spill detection

This study demonstrates the application of explainable artificial intelligence (XAI) specifically the deep learning model for oil spill detection, which integrates the SpillNet, a customised Convolutional Neural Network architecture with five XAI techniques and unique evaluation metrics suitable for marine environmenta...

Tokula I. Umaha, F. Ale, I. D. Ikpaya et al. · Frontiers of Mechanical Engi... · 0 citations