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, 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