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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)Statistical Characteristics and Community Analysis of Urban Road Networks., , , , , и . Complex., (2020)Multiscale Coherence Attribute and Its Application on Seismic Discontinuity Description., , , , и . IEEE Geosci. Remote. Sens. Lett., (2022)Context-based video frame interpolation via depthwise over-parameterized convolution., , и . J. Electronic Imaging, (2021)Scheduling-based method for estimating remaining capacity of oil product pipeline under the fair opening., , , , и . Comput. Chem. Eng., (2022)A methodology to restructure a pipeline system for an oilfield in the mid to late stages of development., , , , , и . Comput. Chem. Eng., (2018)A MILP model for the detailed scheduling of multiproduct pipelines with the hydraulic constraints rigorously considered., , , , , , и . Comput. Chem. Eng., (2019)Deeppipe: A hybrid model for multi-product pipeline condition recognition based on process and data coupling., , , , , , и . Comput. Chem. Eng., (2022)Wire melted mark metallographic image recognition and classification based on semantic segmentation., , , , , и . Expert Syst. Appl., 238 (Part E): 122146 (марта 2024)