文章预览
Machine Learning for Sustainable Maritime Transportation: Empirical Insights and Policy Implications The Special Issue accepts research on machine learning for sustainable maritime transportation: empirical insights and policy implications. Guest editors: Jasmine Siu Lee Lam , Ph.D., Chair Professor, Technical University of Denmark, Denmark ( jasmlam@dtu.dk ) Xiwen Bai , Ph.D., Associate Professor, Tsinghua University, China ( xiwenbai@tsinghua.edu.cn ) Zhong Shuo Chen , Ph.D., Assistant Professor, Xi'an Jiaotong-Liverpool University, China ( zhongshuo.chen@xjtlu.edu.cn ) Maohan Liang , Ph.D., Research Fellow, National University of Singapore, Singapore ( mhliang@nus.edu.sg ) Special issue information: We are interested in reviews and original research on the following topics, but are not limited to: • Monitoring, assessing, predicting, and mitigating environmental impacts of maritime transportation, including emissions of greenhouse gases, pollutants, and noise, using ML approaches;
………………………………
