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Kunlun Xin

Showing results (1-10 of 29) with videos related to

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Nature|August 1, 2014
Public health: A sustainable plan for China's drinking waterTao Tao, Kunlun Xin
Journal of Environmental Sciences (China)|October 8, 2014
Experimental study using the dilution incubation method to assess water biostabilityQiuhua Wang, Tao Tao, Kunlun Xin
Water Research|September 5, 2024
A deep-level decomposed model to accelerate hydraulic simulations in large water distribution networksShuyi Guo, Kunlun Xin, Tao Tao, et al.
Environmental Science and Pollution Research International|November 21, 2019
Contamination source identification in water distribution networks using convolutional neural networkLian Sun, Hexiang Yan, Kunlun Xin, et al.
The Science of the Total Environment|January 26, 2019
Iron stability on the inner wall of prepared polyethylene drinking pipe: Effects of multi-water quality factorsJiaying Wang, Hexiang Yan, Kunlun Xin, et al.
The Science of the Total Environment|January 11, 2019
A practical multi-objective optimization sectorization method for water distribution networkKui Zhang, Hexiang Yan, Han Zeng, et al.
Water Research|June 13, 2026
Towards autonomous scheduling agents for water distribution networks: Self-evolving data-centric AI via continuous data-model coevolutionMinghai Chen, Zhengheng Pu, Hexiang Yan, et al.
Water Research X|December 16, 2024
Enhancing accuracy and interpretability of multi-steps water demand prediction through prior knowledge integration in neural network architectureZhengheng Pu, Deke Han, Hexiang Yan, et al.
Water Research|December 2, 2023
Improving the interpretability of deep reinforcement learning in urban drainage system operationWenchong Tian, Guangtao Fu, Kunlun Xin, et al.
Water Research|February 25, 2023
A convenient and stable graph-based pressure estimation methodology for water distribution networks: Development and field validationXiao Zhou, Juan Zhang, Shuyi Guo, et al.
Pageof 3

Showing results (1-10 of 29) with videos related to

Sort By:
Pageof 3
Nature|August 1, 2014
Public health: A sustainable plan for China's drinking waterTao Tao, Kunlun Xin
Journal of Environmental Sciences (China)|October 8, 2014
Experimental study using the dilution incubation method to assess water biostabilityQiuhua Wang, Tao Tao, Kunlun Xin
Water Research|September 5, 2024
A deep-level decomposed model to accelerate hydraulic simulations in large water distribution networksShuyi Guo, Kunlun Xin, Tao Tao, et al.
Environmental Science and Pollution Research International|November 21, 2019
Contamination source identification in water distribution networks using convolutional neural networkLian Sun, Hexiang Yan, Kunlun Xin, et al.
The Science of the Total Environment|January 26, 2019
Iron stability on the inner wall of prepared polyethylene drinking pipe: Effects of multi-water quality factorsJiaying Wang, Hexiang Yan, Kunlun Xin, et al.
The Science of the Total Environment|January 11, 2019
A practical multi-objective optimization sectorization method for water distribution networkKui Zhang, Hexiang Yan, Han Zeng, et al.
Water Research|June 13, 2026
Towards autonomous scheduling agents for water distribution networks: Self-evolving data-centric AI via continuous data-model coevolutionMinghai Chen, Zhengheng Pu, Hexiang Yan, et al.
Water Research X|December 16, 2024
Enhancing accuracy and interpretability of multi-steps water demand prediction through prior knowledge integration in neural network architectureZhengheng Pu, Deke Han, Hexiang Yan, et al.
Water Research|December 2, 2023
Improving the interpretability of deep reinforcement learning in urban drainage system operationWenchong Tian, Guangtao Fu, Kunlun Xin, et al.
Water Research|February 25, 2023
A convenient and stable graph-based pressure estimation methodology for water distribution networks: Development and field validationXiao Zhou, Juan Zhang, Shuyi Guo, et al.
Pageof 3