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Jingshui Huang

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

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Sensors (Basel, Switzerland)|July 14, 2023
Determination of Optimal Predictors and Sampling Frequency to Develop Nutrient Soft Sensors Using Random ForestMuhammad Arhab, Jingshui Huang
Water Research|August 31, 2021
Photodegradation-induced biological degradation of treated wastewater effluent organic matter in receiving watersHailong Yin, Yue Wang, Jingshui Huang
Water Research|June 20, 2024
Enhancing insight into DOM fate in aquatic systems: Introducing the FLOTATION modelJingshui Huang, Hailong Yin, Tobias Houska
Water Research|July 5, 2025
A quantitative microbial risk assessment framework for cholera infection from post-flood pondsJingshui Huang, Carolina I Hotta, Jorge Leandro
Environmental Science. Processes & Impacts|July 19, 2019
Limited nitrogen retention in an urban river receiving raw sewage and wastewater treatment plant effluentJingshui Huang, Hailong Yin, Seifeddine Jomaa, et al.
Water Research|March 11, 2014
The influence of multivalent cations on the flocculation of activated sludge with different sludge retention timesHaisong Li, Yue Wen, Asheng Cao, et al.
Bioresource Technology|April 10, 2012
The influence of additives (Ca2+, Al3+, and Fe3+) on the interaction energy and loosely bound extracellular polymeric substances (EPS) of activated sludge and their flocculation mechanismsHaisong Li, Yue Wen, Asheng Cao, et al.
The Science of the Total Environment|August 17, 2018
Identification of sewage markers to indicate sources of contamination: Low cost options for misconnected non-stormwater source tracking in stormwater systemsHailong Yin, Ming Xie, Lunyuan Zhang, et al.
Environmental Science and Ecotechnology|October 20, 2023
Machine learning parallel system for integrated process-model calibration and accuracy enhancement in sewer-river systemYundong Li, Lina Ma, Jingshui Huang, et al.
Sensors (Basel, Switzerland)|July 2, 2021
Integration of Remote Sensing and Mexican Water Quality Monitoring System Using an Extreme Learning MachineLeonardo F Arias-Rodriguez, Zheng Duan, José de Jesús Díaz-Torres, et al.
Pageof 1

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

Sort By:
Pageof 1
Sensors (Basel, Switzerland)|July 14, 2023
Determination of Optimal Predictors and Sampling Frequency to Develop Nutrient Soft Sensors Using Random ForestMuhammad Arhab, Jingshui Huang
Water Research|August 31, 2021
Photodegradation-induced biological degradation of treated wastewater effluent organic matter in receiving watersHailong Yin, Yue Wang, Jingshui Huang
Water Research|June 20, 2024
Enhancing insight into DOM fate in aquatic systems: Introducing the FLOTATION modelJingshui Huang, Hailong Yin, Tobias Houska
Water Research|July 5, 2025
A quantitative microbial risk assessment framework for cholera infection from post-flood pondsJingshui Huang, Carolina I Hotta, Jorge Leandro
Environmental Science. Processes & Impacts|July 19, 2019
Limited nitrogen retention in an urban river receiving raw sewage and wastewater treatment plant effluentJingshui Huang, Hailong Yin, Seifeddine Jomaa, et al.
Water Research|March 11, 2014
The influence of multivalent cations on the flocculation of activated sludge with different sludge retention timesHaisong Li, Yue Wen, Asheng Cao, et al.
Bioresource Technology|April 10, 2012
The influence of additives (Ca2+, Al3+, and Fe3+) on the interaction energy and loosely bound extracellular polymeric substances (EPS) of activated sludge and their flocculation mechanismsHaisong Li, Yue Wen, Asheng Cao, et al.
The Science of the Total Environment|August 17, 2018
Identification of sewage markers to indicate sources of contamination: Low cost options for misconnected non-stormwater source tracking in stormwater systemsHailong Yin, Ming Xie, Lunyuan Zhang, et al.
Environmental Science and Ecotechnology|October 20, 2023
Machine learning parallel system for integrated process-model calibration and accuracy enhancement in sewer-river systemYundong Li, Lina Ma, Jingshui Huang, et al.
Sensors (Basel, Switzerland)|July 2, 2021
Integration of Remote Sensing and Mexican Water Quality Monitoring System Using an Extreme Learning MachineLeonardo F Arias-Rodriguez, Zheng Duan, José de Jesús Díaz-Torres, et al.
Pageof 1