Mechanical and thermal behaviours of grinding acoustic emission. - Xun Chen; James M. Griffin; Qiang Liu (Int. J. Manuf. Technol. Manag., 2007)

Fuzzy-Genetic System Applied to Topology Optimization of Cable-Trusses Modular Design. - Vitor C. Finotto; Wilson R. L. da Silva; James M. Griffin; Michael Valásek (ICHIT (1), 2012)

Real-time simulation of neural network classifications from characteristics emitted by acoustic emission during horizontal single grit scratch tests. - James M. Griffin; Xun Chen (J. Intell. Manuf., 2016)

Prediction of welding residual stresses using machine learning: Comparison between neural networks and neuro-fuzzy systems. - Jino Mathew; James M. Griffin; Miltiadis Alamaniotis; Stratis Kanarachos; Michael E. Fitzpatrick (Appl. Soft Comput., 2018)

The prediction of profile deviations from multi process machining of complex geometrical features using combined evolutionary and neural network algorithms with embedded simulation. - James M. Griffin (J. Intell. Manuf., 2018)

Incorporating machine learning in shot peening and laser peening: A review and beyond. - Rui Qin; Zhifen Zhang; James M. Griffin; Jing Huang; Guangrui Wen; Weifeng He; Xuefeng Chen 002 (Adv. Eng. Informatics, 2025)

Explainable deep learning framework for residual stress monitoring in laser shock peening via acoustic emission. - Rui Qin; Zhifen Zhang; James M. Griffin; Jie Wang; Guangrui Wen; Weifeng He; Xuefeng Chen 002; Jing Huang (J. Ind. Inf. Integr., 2025)