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Navier-stokes Generative Adversarial Network: a physics-informed deep learning model for fluid flow generation., , , , , , и . Neural Comput. Appl., 34 (14): 11539-11552 (2022)Two-Stage Heuristic Algorithm for a New Model of Hazardous Material Multi-depot Vehicle Routing Problem., , , , и . UKCI, том 650 из Advances in Intelligent Systems and Computing, стр. 362-366. Springer, (2017)A Multi-Scale Method for PM2.5 Forecasting with Multi-Source Big Data., , , и . J. Syst. Sci. Complex., 36 (2): 771-797 (апреля 2023)Fast data assimilation (FDA): Data assimilation by machine learning for faster optimize model state., , , , , , и . J. Comput. Sci., (2021)Collective Intelligence in Knowledge Management., , , и . CONFENIS (1), том 254 из IFIP, стр. 651-655. Springer, (2007)A particle swarm optimization algorithm with random learning mechanism and Levy flight for optimization of atomic clusters., , , , , , и . Comput. Phys. Commun., (2017)A Bi-objective Mathematical Model for Hazmat Vehicle Routing Problem with Path-Based Risk Estimation., , , и . BIFE, стр. 643-646. IEEE Computer Society, (2013)A Digital Twin Framework Embedded with POD and Neural Network for Flow Field Monitoring of Push-Plate Kiln., , , , и . Future Internet, 15 (2): 51 (февраля 2023)Securing transportation of hazardous materials against terrorism: A novel game-based approach., , , и . Comput. Ind. Eng., (2022)