A Machine Learning Framework for Efficient Ice Cover Forecasting in the Great Lakes Leveraging Long-Term Extensive Simulation Data
Published in ASME 45th International Conference on Ocean, Offshore and Arctic Engineering (OMAE), Tokyo, Japan, 2026
Conference paper on AI-enabled environmental modeling for offshore engineering design.
Recommended citation: Javaherian, M. J., Abdelhady, H., Cannon, D., Wang, J., Fujisaki-Manome, A., & Zuo, L. (2026). "A Machine Learning Framework for Efficient Ice Cover Forecasting in the Great Lakes Leveraging Long-Term Extensive Simulation Data." ASME OMAE.