Kesse A., M., Buah, E., Handroos, H., and Ayetor, K., G. Development of an Artificial Intelligence Powered TIG Welding Algorithm for the Prediction of Bead Geometry for TIG Welding Processes using Hybrid Deep Learning.MDPI Vol. 10(4): 451, pp. 1–14, 2020 © 2020, MDPI

Buah, E.; Linnanen, L.; Wu, H.; Kesse, M.A. Can Artificial Intelligence Assist Project Developers in Long-Term Management of Energy Projects? The Case of CO₂ Capture and Storage. Energies 2020, 13, 6259. https://doi.org/10.3390/en13236259

G. K. Ayetor, Albert K. Sunnu & M. A. Kesse (2022) Engine performance and emissions of fuel produced from palm kernel oil, Biofuels, 13:2, 211-217, DOI: 10.1080/17597269.2019.1672006

Kesse, A., M., Gyasi, A. E., and Kah, P. Usability of Laser-TIG Hybrid Welding Processes. ISBN 978-1-880653-97-5; ISSN 1098-6189, pp. 42-49, 2017 © 2017, ISOPE

Atta-Agyemang S-A, Kesse MA, Kah P, Martikainen J. Improvement of strength and toughness: The effect on the weldability of high-strength steels used in offshore structures. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture. 2017;231(3):369-376. doi:10.1177/0954405415600366

Emmanuel Afrane Gyasi, Paul Kah, Juho Ratava, Martin Appiah Kesse, and Esa Hiltunen Study of Adaptive Automated GMAW Process for Full Penetration Fillet Welds in Offshore Steel Structures

Gyasi, A., E., Kah., P., Wu., H., and Kesse, A. M Modeling of an artificial intelligence system to predict structural integrity in robotic GMAW of UHSS fillet welded joints. The International Journal of Advanced Manufacturing Technology volume Vol. 93, pp. 1139–1155, 2017 © 2017, Springer

Kesse, A., M., Kah, P., and Martikainen, J. Investigations into enhanced TIG welding processes proceedings of 20th International Scientific Conference, Kaunas. pp. 149-154, 2015 © 2015, Mechanik