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An automatic detailed scheduling method of refined products pipeline., , , , , и . ICCA, стр. 816-823. IEEE, (2016)Pedestrian Trajectory Prediction in Extremely Crowded Scenarios., , , , , и . Sensors, 19 (5): 1223 (2019)A methodology to restructure a pipeline system for an oilfield in the mid to late stages of development., , , , , и . Comput. Chem. Eng., (2018)Deeppipe: A hybrid model for multi-product pipeline condition recognition based on process and data coupling., , , , , , и . Comput. Chem. Eng., (2022)PAN-cODE: COVID-19 forecasting using conditional latent ODEs., , и . J. Am. Medical Informatics Assoc., 29 (12): 2089-2095 (2022)DC Voltage Utilization Improvement to Enlarge Power Balance Constraint Range for Photovoltaic Cascaded Inverter., , , , , , и . IEEE Access, (2021)Invariance-based Multi-Clustering of Latent Space Embeddings for Equivariant Learning., , и . CoRR, (2021)A theory-guided deep-learning method for predicting power generation of multi-region photovoltaic plants., , , , , , , , и . Eng. Appl. Artif. Intell., (2023)Optimal design and operation for supply chain system of multi-state natural gas under uncertainties of demand and purchase price., , , , , , и . Comput. Ind. Eng., (2019)Motion Planning Using Reinforcement Learning Method for Underactuated Ship Berthing., , и . ICCA, стр. 354-359. IEEE, (2020)