Publisher
European Journal of Science and Technology
Subject
General Earth and Planetary Sciences,General Environmental Science
Reference72 articles.
1. Abebe, M., Shin, Y., Noh, Y., Lee, S., & Lee, I. (2020). Machine Learning Approaches for Ship Speed Prediction towards Energy Efficient Shipping. Applied Sciences, 10(7). doi:10.3390/app10072325
2. Adi, T. N., Iskandar, Y. A., & Bae, H. (2020). Interterminal Truck Routing Optimization Using Deep Reinforcement Learning. Sensors, 20(20). doi:10.3390/s20205794
3. Al Hajj Hassan, L., Mahmassani, H. S., & Chen, Y. (2020). Reinforcement learning framework for freight demand forecasting to support operational planning decisions. Transportation Research Part E: Logistics and Transportation Review, 137, 101926.
doi:https://doi.org/10.1016/j.tre.2020.101926
4. Anwar, M., Henesey, L., & Casalicchio, E. (2019). Digitalization in Container Terminal Logistics : A Literature Review. Paper presented at the 27th Annual Conference of International Association of Maritime Economists, Athens.
http://urn.kb.se/resolve?urn=urn:nbn:se:bth-18482
5. Brouer, B. D., Karsten, C. V., & Pisinger, D. (2017). Optimization in liner shipping. 4OR, 15(1), 1-35. doi:10.1007/s10288-017-0342-6
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