Artificial intelligence for electrode quality control in battery manufacturing: Evaluating machine learning, deep learning, and transfer learning models for Tin, Zinc, and Titanium electrodes

Anesu Nyabadza; Muhammad Usman; Muhammad Bilal; Muhammad Arslan Ashraf; Ahmed Abdullahi; Waqas Ali; Ajaykumar Dubey; Sindhuja Arepalli; Palak Choubey; Dimuthu Fernando; Lola Azoulay-Younes; Dermot Brabazon

doi:10.1016/j.jer.2026.02.010

Q4 2026

Artificial intelligence for electrode quality control in battery manufacturing: Evaluating machine learning, deep learning, and transfer learning models for Tin, Zinc, and Titanium electrodes

Anesu Nyabadza · Muhammad Usman · Muhammad Bilal · Muhammad Arslan Ashraf · Ahmed Abdullahi · Waqas Ali · Ajaykumar Dubey · Sindhuja Arepalli · Palak Choubey · Dimuthu Fernando · Lola Azoulay-Younes · Dermot Brabazon

10.1016/j.jer.2026.02.010 384 Views 0 Citations

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Cite this Article (APA)

Anesu, N., Muhammad, U., Muhammad, B., Muhammad, A. A., Ahmed, A., Waqas, A., Ajaykumar, D., Sindhuja, A., Palak, C., Dimuthu, F., Lola, A., Dermot, B. (2026). Artificial intelligence for electrode quality control in battery manufacturing: Evaluating machine learning, deep learning, and transfer learning models for Tin, Zinc, and Titanium electrodes. Journal Engineering Research. https://doi.org/10.1016/j.jer.2026.02.010