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The Science of the Total Environment
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July 7, 2024
Machine learning for high-precision simulation of dissolved organic matter in sewer: Overcoming data restrictions with generative adversarial networks
Feng Hou, Shuai Liu, Wan-Xin Yin, et al.
Environmental Science and Ecotechnology
|
December 11, 2024
Augmented machine learning for sewage quality assessment with limited data
Jia-Qiang Lv, Wan-Xin Yin, Jia-Min Xu, et al.
Journal of Hazardous Materials
|
April 9, 2026
From pollutant profiling to source attribution: An interpretable staged machine learning framework for sewer surveillance
Jia-Qiang Lv, Yanchen Liu, Bo Li, et al.
Bioresource Technology
|
October 16, 2024
Microbial-Guided prediction of methane and sulfide production in Sewers: Integrating mechanistic models with Machine learning
Wan-Xin Yin, Jia-Qiang Lv, Shuai Liu, et al.
Water Research
|
January 31, 2026
In-Situ sulfur implantation efficiently promoting nitrogen removal in low-carbon anoxic-oxic systems
Jia-Min Xu, Miao Gu, Yi-Fan Zhang, et al.
Environmental Science & Technology
|
May 16, 2025
Federated Machine Learning Enables Risk Management and Privacy Protection in Water Quality
Yu-Qi Wang, Hong-Cheng Wang, Wen-Zhe Wang, et al.
Environmental Science & Technology
|
February 12, 2025
Deciphering and Mitigating of Dynamic Greenhouse Gas Emission in Urban Drainage Systems with Knowledge-Infused Graph Neural Network
Wan-Xin Yin, Ke-Hua Chen, Jia-Qiang Lv, et al.
Water Research
|
June 24, 2026
Machine learning-driven prediction and control system for practical application of sulfur-based autotrophic denitrification biofilters
Jia-Qiang Lv, Jia-Min Xu, Wen-Ke He, et al.
Water Research
|
June 27, 2026
Machine learning-integrated multi-objective application and optimization framework for sulfur-based reactive filler towards nutrient removal
Jia-Min Xu, Jia-Qiang Lv, Wen-Ke He, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 9) with videos related to
Sort By:
Page
of 1
The Science of the Total Environment
|
July 7, 2024
Machine learning for high-precision simulation of dissolved organic matter in sewer: Overcoming data restrictions with generative adversarial networks
Feng Hou, Shuai Liu, Wan-Xin Yin, et al.
Environmental Science and Ecotechnology
|
December 11, 2024
Augmented machine learning for sewage quality assessment with limited data
Jia-Qiang Lv, Wan-Xin Yin, Jia-Min Xu, et al.
Journal of Hazardous Materials
|
April 9, 2026
From pollutant profiling to source attribution: An interpretable staged machine learning framework for sewer surveillance
Jia-Qiang Lv, Yanchen Liu, Bo Li, et al.
Bioresource Technology
|
October 16, 2024
Microbial-Guided prediction of methane and sulfide production in Sewers: Integrating mechanistic models with Machine learning
Wan-Xin Yin, Jia-Qiang Lv, Shuai Liu, et al.
Water Research
|
January 31, 2026
In-Situ sulfur implantation efficiently promoting nitrogen removal in low-carbon anoxic-oxic systems
Jia-Min Xu, Miao Gu, Yi-Fan Zhang, et al.
Environmental Science & Technology
|
May 16, 2025
Federated Machine Learning Enables Risk Management and Privacy Protection in Water Quality
Yu-Qi Wang, Hong-Cheng Wang, Wen-Zhe Wang, et al.
Environmental Science & Technology
|
February 12, 2025
Deciphering and Mitigating of Dynamic Greenhouse Gas Emission in Urban Drainage Systems with Knowledge-Infused Graph Neural Network
Wan-Xin Yin, Ke-Hua Chen, Jia-Qiang Lv, et al.
Water Research
|
June 24, 2026
Machine learning-driven prediction and control system for practical application of sulfur-based autotrophic denitrification biofilters
Jia-Qiang Lv, Jia-Min Xu, Wen-Ke He, et al.
Water Research
|
June 27, 2026
Machine learning-integrated multi-objective application and optimization framework for sulfur-based reactive filler towards nutrient removal
Jia-Min Xu, Jia-Qiang Lv, Wen-Ke He, et al.
Page
of 1