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A novel self-organizing constructive neural network for estimating aircraft trip fuel consumption
Khan, Waqar Ahmed; Chung, Sai Ho; Ma, Hoi-Lam; Liu, Shi … - In: Transportation research / E : an international journal 132 (2019), pp. 72-96
Persistent link: https://www.econbiz.de/10012133370
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A novel CNN-DDPG based AI-trader : performance and roles in business operations
Luo, Suyuan; Lin, Xudong; Zheng, Zunxin - In: Transportation research / E : an international journal 131 (2019), pp. 68-79
Persistent link: https://www.econbiz.de/10012129057
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A comparison of the predictive potential of artificial neural networks and nested logit models for commuter mode choice
Hensher, David A.; Ton, Tu T. - In: Transportation research / E : an international journal 36 (2000) 3, pp. 155-172
Persistent link: https://www.econbiz.de/10001506760
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Hybrid approaches based on SARIMA and artificial neural networks for inspection time series forecasting
Ruiz-Aguilar, Juan Jesus; Turias, I. J.; Jiménez-Come, … - In: Transportation research / E : an international journal 67 (2014), pp. 1-13
Persistent link: https://www.econbiz.de/10010384606
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TS-STNN : spatial-temporal neural network based on tree structure for traffic flow prediction
Lv, Yang; Lv, Zhiqiang; Cheng, Zesheng; Zhu, Zhanqi; … - In: Transportation research / E : an international journal 177 (2023), pp. 1-16
Persistent link: https://www.econbiz.de/10014419340
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An application-oriented testing regime and multi-ship predictive modeling for vessel fuel consumption prediction
Nguyen, Son Canh; Fu, Xiuju; Ogawa, Daichi; Qin, Zheng - In: Transportation research / E : an international journal 177 (2023), pp. 1-22
Persistent link: https://www.econbiz.de/10014419376
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Estimating intercity heavy truck mobility flows using the deep gravity framework
Yang, Yitao; Jia, Bin; Yan, Xiao-Yong; Chen, Yan; Song, … - In: Transportation research / E : an international journal 179 (2023), pp. 1-16
Persistent link: https://www.econbiz.de/10014487501
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The flying sidekick traveling salesman problem with stochastic travel time : a reinforcement learning approach
Liu, Zeyu; Li, Xueping; Khojandi, Anahita - In: Transportation research / E : an international journal 164 (2022), pp. 1-25
Persistent link: https://www.econbiz.de/10013366774
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Reinforcement learning for logistics and supply chain management : methodologies, state of the art, and future opportunities
Yan, Yimo; Chow, Andy H. F.; Ho, Chin Pang; Kuo, Yong-Hong - In: Transportation research / E : an international journal 162 (2022), pp. 1-44
Persistent link: https://www.econbiz.de/10013275974
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A combined forecasting and packing model for air cargo loading : a risk-averse framework
Tseremoglou, Iordanis; Bombelli, Alessandro; Santos, … - In: Transportation research / E : an international journal 158 (2022), pp. 1-27
Persistent link: https://www.econbiz.de/10013194721