Hybrid Modeling of Engineered Biological Systems through Coupling Data-Driven Calibration of Kinetic Parameters with Mechanistic Prediction of System Performance (English)
- New search for: Cheng, Zhang
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https://orcid.org/0000-0001-7793-4176
- New search for: Ronen, Avner
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https://orcid.org/0000-0002-7134-6848
- New search for: Yuan, Heyang
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https://orcid.org/0000-0003-1146-2430
- New search for: Cheng, Zhang
- Further information on Cheng, Zhang:
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https://orcid.org/0000-0001-7793-4176
- New search for: Ronen, Avner
- Further information on Ronen, Avner:
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https://orcid.org/0000-0002-7134-6848
- New search for: Yuan, Heyang
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https://orcid.org/0000-0003-1146-2430
In:
ACS ES&T Water
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4
, 3
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958-968
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2024
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ISSN:
- Article (Journal) / Electronic Resource
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Title:Hybrid Modeling of Engineered Biological Systems through Coupling Data-Driven Calibration of Kinetic Parameters with Mechanistic Prediction of System Performance
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Additional title:ACS EST Water
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Contributors:
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Published in:ACS ES&T Water ; 4, 3 ; 958-968
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Publisher:
- New search for: American Chemical Society
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Publication date:2024-03-08
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ISSN:
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Coden:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents – Volume 4, Issue 3
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 761
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Applications of Artificial Intelligence, Machine Learning, and Data Analytics in Water EnvironmentsZhang, Huichun / Ng, Carla et al. | 2024
- 764
-
The Water Sector Was Born and Raised with Big-Impact Water DataZimmermann, Karl et al. | 2024
- 773
-
Machine Learning Modeling of Environmentally Relevant Chemical Reactions for Organic CompoundsZhang, Kai / Zhang, Huichun et al. | 2024
- 784
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A Review of Computational Modeling in Wastewater Treatment ProcessesDuarte, M. Salomé / Martins, Gilberto / Oliveira, Pedro / Fernandes, Bruno / Ferreira, Eugénio C. / Alves, M. Madalena / Lopes, Frederico / Pereira, M. Alcina / Novais, Paulo et al. | 2024
- 805
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Deep Learning in Environmental Toxicology: Current Progress and Open ChallengesTan, Haoyue / Jin, Jinsha / Fang, Chao / Zhang, Ying / Chang, Baodi / Zhang, Xiaowei / Yu, Hongxia / Shi, Wei et al. | 2024
- 820
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Machine Learning for Heavy Metal Removal from Water: Recent Advances and ChallengesYuan, Xiangzhou / Li, Jie / Lim, Juin Yau / Zolfaghari, Ashkan / Alessi, Daniel S. / Wang, Yin / Wang, Xiaonan / Ok, Yong Sik et al. | 2024
- 837
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Machine Learning Provides Opportunities to Recognize Greenhouse Gas Emissions from Water at a Large ScaleDeng, Peng / Hu, Xiangang / Mu, Li et al. | 2024
- 844
-
Toward a Predictive Understanding of Cyanobacterial Harmful Algal Blooms through AI Integration of Physical, Chemical, and Biological DataMarrone, Babetta L. / Banerjee, Shounak / Talapatra, Anjana / Gonzalez-Esquer, C. Raul / Pilania, Ghanshyam et al. | 2024
- 859
-
Abatement of Sewer Overflow Pollution Based on Distributed Optimal Control ApproachZhao, Zhichao / Zhang, Huijin / Yu, Ziwen / Yin, Hailong / Xu, Zuxin et al. | 2024
- 869
-
Insight into the Adsorption of Nutrients from Water by Pyrogenic Carbonaceous Adsorbents Using a Bootstrap Method and Machine LearningNguyen, Xuan Cuong / Nguyen, Thi Thanh Huyen / Hang, Nguyen Thi Thuy / Thai, Van Nam / Doan, Thi Oanh / Duong, Thi Thuy / Duong, Thanh Nghi / Hwang, Yuhoon / Lam, Vinh Son / Ly, Quang Viet et al. | 2024
- 880
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Artificial Intelligence-Assisted Prediction of Effluent Phosphorus in a Full-Scale Wastewater Treatment Plant with Missing Phosphorus Input and Removal DataXu, Yanran / Wang, Zixuan / Nairat, Shaker / Zhou, Jianpeng / He, Zhen et al. | 2024
- 890
-
Machine Learning-Based Predominant Driving Factors Impacting Urban Industrial Wastewater Discharge in the Yellow River BasinXia, Libo / Wu, Beibei / Dai, Anqi / Zhou, Yun et al. | 2024
- 899
-
Predicting THM Formation and Revealing Its Contributors in Drinking Water Treatment Using Machine LearningSikder, Rabbi / Zhang, Tianyu / Ye, Tao et al. | 2024
- 913
-
A Holistic Evaluation of Multivariate Statistical Process Monitoring in a Biological and Membrane Treatment SystemNewhart, Kathryn B. / Klanderman, Molly C. / Hering, Amanda S. / Cath, Tzahi Y. et al. | 2024
- 925
-
Functional Data Analysis Approach for Detecting Faults in Cyclic Water and Wastewater Treatment ProcessesKuras, Aurora / Cath, Tzahi Y. / Hering, Amanda S. et al. | 2024
- 936
-
Spatiotemporal Patterns of Methane and Nitrous Oxide Emissions in China’s Inland Waters Identified by Machine Learning TechniqueYang, Cheng / Du, Wen Jie / He, Ru-Li / Hu, Yi-Rong / Liu, Houqi / Huang, Tianyin / Li, Wen-Wei et al. | 2024
- 948
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The Total Oxidizable Precursor (TOP) Assay as a Forensic Tool for Per- and Polyfluoroalkyl Substances (PFAS) Source ApportionmentAntell, Edmund H. / Yi, Shan / Olivares, Christopher I. / Ruyle, Bridger J. / Kim, Jacob T. / Tsou, Katerina / Dixit, Fuhar / Alvarez-Cohen, Lisa / Sedlak, David L. et al. | 2024
- 958
-
Hybrid Modeling of Engineered Biological Systems through Coupling Data-Driven Calibration of Kinetic Parameters with Mechanistic Prediction of System PerformanceCheng, Zhang / Ronen, Avner / Yuan, Heyang et al. | 2024
- 969
-
Prediction of 35 Target Per- and Polyfluoroalkyl Substances (PFASs) in California Groundwater Using Multilabel Semisupervised Machine LearningDong, Jialin / Tsai, Gabriel / Olivares, Christopher I. et al. | 2024
- 982
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Freshwater Microscopic Algae Detection Based on Deep Neural Network with GAN-Based Augmentation for Imbalanced Algal DataFung, Benjamin S. B. / Chan, Wang Hin / Lo, Irene M. C. / Tsang, Danny H. K. et al. | 2024
- 991
-
Machine Learning Prediction of Adsorption Behavior of Xenobiotics on Microplastics under Different Environmental ConditionsBryant, Michael Taylor / Ma, Xingmao et al. | 2024
- 1000
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Predicted Endocrine Disrupting Activity of Unregulated Drinking Water ContaminantsNguyen, Thuy / Appiah Nsiah, Gloria / Crowder, Emily / Garland, Sarah / Williams, Clinton F. / Conroy-Ben, Otakuye et al. | 2024
- 1014
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Machine-Learning-Based Approach To Assessing Water Quality in a Specific Basin: The Case of Wujingang BasinZhang, Shubo / He, Ruonan / Wang, Qian / Qu, Zhan / Wang, Jinfeng / Wang, Yanru / Ren, Hongqiang et al. | 2024
- 1024
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Comparative Performance of Three Machine Learning Models in Predicting Influent Flow Rates and Nutrient Loads at Wastewater Treatment PlantsWei, Xiaoou / Yu, Jiang / Tian, Yong / Ben, Yujie / Cai, Zongwei / Zheng, Chunmiao et al. | 2024
- 1036
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Exploring Advanced Statistical Data Analysis Techniques for Interpolating Missing Observations and Detecting Anomalies in Mining Influenced Water DataMore, Kagiso S / Wolkersdorfer, Christian et al. | 2024
- 1046
-
Investigating Biodegradation of 1,4-Dioxane by Groundwater and Soil Microbiomes: Insights into Microbial Ecology and Process PredictionMiao, Yu / Zhou, Tianxiang / Zheng, Xiaoru / Mahendra, Shaily et al. | 2024
- 1061
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Machine Learning Algorithm Integrated with Real-Time In Situ Sensors and Physiochemical Principle-Driven Soft Sensors toward an Anaerobic Digestion-Data Fusion FrameworkWang, Xingyu / Rashid, Ishrat / Zhao, Zhiyuan / Oladele, Mayowa / Xiang, Wenjun / Huang, Yuankai / Wazer, Edward / McCutcheon, Jeffery / Bollas, George / Contreras, Jason et al. | 2024
- 1073
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Examining the Effect of Physicochemical and Meteorological Variables on Water Quality Indicators of Harmful Algal Blooms in a Shallow Hypereutrophic Lake Using Machine Learning TechniquesWherry, Susan A. / Schenk, Liam et al. | 2024
- 1083
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Reducing Arsenic, Cadmium, and Lead Exposure in Urban Areas via Limiting Nutrient Discharges into RiversWang, Minyan / Bian, Haohao / Shen, Cheng / Deng, Chao / Huang, Junhao / Liang, Ruting / Wong, Ming Hung / Shan, Shengdao / Zhang, Jin et al. | 2024
- 1094
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In Vitro Biodescriptors Derived from Time Series Toxicogenomics Data in In Silico QSAR Improve the Phenotypic Toxicity PredictionRahman, Sheikh Mokhlesur / Lan, Jiaqi / Gou, Na / Alshawabkeh, Akram / Gu, April Z. et al. | 2024
- 1107
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Machine Learning-Assisted Insights into Sources and Fate of Microplastics in Wastewater Treatment PlantsWu, Pengfei / Wang, Bolun / Lu, Yi / Cao, Guodong / Xie, Peisi / Wang, Wei / Chen, Duoli / Huang, Gefei / Jin, Hangbiao / Yang, Zhu et al. | 2024
- 1119
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Spatial and Temporal Modeling on Energy Consumption of Wastewater Treatment Based on Machine Learning AlgorithmsHuang, Runyao / Yu, Chenyang / Wang, Hongtao / Zhang, Shike / Wang, Leyi / Li, Huiping / Zhang, Zhenjian / Zhou, Zhen et al. | 2024
- 1131
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Optimizing Photodegradation Rate Prediction of Organic Contaminants: Models with Fine-Tuned Hyperparameters and SHAP Feature Analysis for Informed Decision MakingSchossler, Rodrigo Teixeira / Ojo, Samuel / Yu, Xiong Bill et al. | 2024
- 1146
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Fingerprinting and Differentiation of Landfill Leachate and Domestic Sewage in Surface Water with Machine Learning Based Surface Enhanced Raman SpectroscopyLi, Juan / Wang, Xinghong / Tang, Jiaxi / Li, Fan / Wang, Xueqing / Muhammad, Tabdar Ali Deip / Hu, Zhangmei / Wang, Dongmei / Gong, Zhengjun / Fan, Meikun et al. | 2024
- 1155
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A Two-Stage Interpretable Machine Learning Framework for Accurate Prediction of Trace Pollutants: With an Application to MicrocystinWu, Sifeng / Liang, Zhongyao / Qiu, Qianlinglin et al. | 2024