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Papers citing Machine Learning: New Ideas and Tools in Environmental Science and Engineering

  1. Machine Learning-Based Prediction of Chlorophyll-a Variations in Receiving Reservoir of World’s Largest Water Transfer Project—A Case Study in the Miyun Reservoir, North China

    Water · 2021

    Zhenmei Liao, Nan Zang, Xuan Wang, Chunhui Li, Qiang Liu

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  2. Predicting Heavy Metal Adsorption on Soil with Machine Learning and Mapping Global Distribution of Soil Adsorption Capacities

    Environmental Science & Technology · 2021

    Hongrui Yang, Kuan Z. Huang, Kai Zhang, Qin Weng, Huichun Judy Zhang, Feier Wang

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  3. Antimony, beryllium, cobalt, and vanadium in urban park soils in Beijing: Machine learning-based source identification and health risk-based soil environmental criteria

    Environmental Pollution · 2021

    Yihang Wu, Qiyuan Liu, Jin Ma, Wenhao Zhao, Haiyan Chen, Yajing Qu

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  4. Novel Machine Learning-Based Energy Consumption Model of Wastewater Treatment Plants

    ACS ES&T Water · 2021

    Shike Zhang, Hongtao Wang, Arturo A. Keller

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  5. Sustainable and efficient technologies for removal and recovery of toxic and valuable metals from wastewater: Recent progress, challenges, and future perspectives

    Chemosphere · 2021

    Abdelnasser Abidli, Yifeng Huang, Zeineb Ben Rejeb, Aniss Zaoui, Chul B. Park

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  6. Machine Learning-Assisted QSAR Models on Contaminant Reactivity Toward Four Oxidants: Combining Small Data Sets and Knowledge Transfer

    Environmental Science & Technology · 2021

    Shifa Zhong, Yanping Zhang, Huichun Judy Zhang

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  7. Evaluating the capability of municipal solid waste separation in China based on AHP-EWM and BP neural network

    Waste Management · 2021

    Hao Xi, Zhiheng Li, Jingyi Han, Dongsheng Shen, Na Li, Yuyang Long, Zhenlong Chen, Linglin Xu, Xianghong Zhang, Dongjie Niu, Huijun Liu

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  8. [Retracted] The Influence of Public Mental Health Based on Artificial Intelligence Technology on the Teaching Effect of Business Administration Major

    Journal of Environmental and Public Health · 2022

    Yixia Lu

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  9. A Machine Learning Model to Predict Citation Counts of Scientific Papers in Otology Field

    BioMed Research International · 2022

    Yousef Al-Ohali, Mahmoud Samir Fayed, Tamer A. Mesallam, Yassin Abdelsamad, Fida Abdulaziz Almuhawas, Abdulrahman Abdullah Hagr

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  10. Image classification using disease classifier model for doctors and hospitals

    AIP conference proceedings · 2022

    Megha Agarwal, Vinti Gupta, Abhinav Goel, Aditya Raghav, Neeraj Dhiman

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  11. Machine Learning-Assisted Three-Dimensional Sensing Array for Simultaneous Discrimination and Quantification of Hypochlorite and Hydroxyl Radicals

    SSRN Electronic Journal · 2022

    Long Yu, Xin Li, Pengchen Su, Mingtai Sun, Chao Yuan, Suhua Wang

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  12. PregTox: A Resource of Knowledge about Drug Fetal Toxicity

    BioMed Research International · 2022

    Qingqing Chen, Yu Gan, Kejian Wang, Qing Li

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  13. Modeling the impact of some independent parameters on the syngas characteristics during plasma gasification of municipal solid waste using artificial neural network and stepwise linear regression methods

    Renewable and Sustainable Energy Reviews · 2022

    Chu Chu, Abdoulaye Boré, Xin Liu, J.C. Cui, Peisheng Wang, Xianchang Liu, Guanyi Chen, B. Liu, Wenchao Ma, Ziyang Lou, Y. Tao, A. Bary

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  14. Predicting Solute Descriptors for Organic Chemicals by a Deep Neural Network (DNN) Using Basic Chemical Structures and a Surrogate Metric

    Environmental Science & Technology · 2022

    Kai Zhang, Huichun Judy Zhang

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  15. Bioavailability of antimony and arsenic in a flowering cabbage–soil system: Controlling factors and interactive effect

    The Science of The Total Environment · 2022

    Chunying Chang, Fangbai Li, Qi Wang, Min Hu, Yanhong Du, Xiaoqing Zhang, Xiaolu Zhang, Chunyi Chen, Huanyun Yu

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  16. Developments in diagnostic applications of saliva in human organ diseases

    Medicine in Novel Technology and Devices · 2022

    Yangyang Cui, Mengying Yang, Jia Zhu, Zhang Hangkun, Zhili Duan, Song Wang, Zhenhua Liao, Weiqiang Liu

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  17. Machine Learning for Melting Temperature Predictions and Design in Polyhydroxyalkanoate-Based Biopolymers

    The Journal of Physical Chemistry B · 2022

    Karteek K. Bejagam, Jessica N. Lalonde, Carl N. Iverson, Babetta L. Marrone, Ghanshyam Pilania

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  18. Appreciating the role of big data in the modernization of environmental governance

    Frontiers of Engineering Management · 2022

    Miaomiao Liu, Bing Zhang, Jun Bi

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  19. Data-Driven Machine Learning in Environmental Pollution: Gains and Problems

    Environmental Science & Technology · 2022

    Xian Liu, Dawei Lü, Aiqian Zhang, Qian Liu, Guibin Jiang

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  20. Potential Application of Machine-Learning-Based Quantum Chemical Methods in Environmental Chemistry

    Environmental Science & Technology · 2022

    Deming Xia, Jingwen Chen, Zhiqiang Fu, Tong Xu, Zhongyu Wang, Wenjia Liu, Hong‐Bin Xie, Willie J.G.M. Peijnenburg

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  21. Enlarging Applicability Domain of Quantitative Structure–Activity Relationship Models through Uncertainty-Based Active Learning

    ACS ES&T Engineering · 2022

    Shifa Zhong, Dylan R Lambeth, Thomas K. S. Igou, Yongsheng Chen

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  22. Quantum Machine Learning Approach for Studying Atmospheric Cluster Formation

    Environmental Science & Technology Letters · 2022

    Jakub Kubečka, Anders Steen Christensen, Freja Rydahl Rasmussen, Jonas Elm

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  23. Quantify the role of anthropogenic emission and meteorology on air pollution using machine learning approach: A case study of PM2.5 during the COVID-19 outbreak in Hubei Province, China

    Environmental Pollution · 2022

    Hongwei Liu, Fange Yue, Zhouqing Xie

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  24. Data Quality for AI Tool: Exploratory Data Analysis on IBM API

    International Journal of Intelligent Systems and Applications · 2022

    Ankur Jariwala, Aayushi Chaudhari, Chintan Bhatt, Dac‐Nhuong Le

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  25. Machine learning for the prediction of heavy metal removal by chitosan-based flocculants

    Carbohydrate Polymers · 2022

    Chun Lu, Zuxin Xu, Bin Dong, Yunhui Zhang, Mei Wang, Yifan Zeng, Chen Zhang

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  26. The structure-activity relationship of aromatic compounds in advanced oxidation processes:a review

    Chemosphere · 2022

    Mingzhu Ren, Sihan Sun, Yiqiu Wu, Yanchun Shi, Zhou‐jun Wang, Hongbin Cao, Yongbing Xie

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  27. Toward smarter management and recovery of municipal solid waste: A critical review on deep learning approaches

    Journal of Cleaner Production · 2022

    Kunsen Lin, Youcai Zhao, Jia‐Hong Kuo, Hao Deng, Feifei Cui, Zilong Zhang, Meilan Zhang, Chunlong Zhao, Xiaofeng Gao, Tao Zhou, Tao Wang

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  28. Machine learning-based modeling and analysis of PFOS removal from contaminated water by nanofiltration process

    Separation and Purification Technology · 2022

    Ahmad Hosseinzadeh, John L. Zhou, Javad Zyaie, Nahawand AlZainati, Ibrar Ibrar, Ali Altaee

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  29. A data-augmentation approach to deriving long-term surface SO2 across Northern China: Implications for interpretable machine learning

    The Science of The Total Environment · 2022

    Shifu Zhang, Tan Mi, Qinhuizi Wu, Yuzhou Luo, Michael L. Grieneisen, Guangming Shi, Fumo Yang, Zhan Yu

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  30. Effect of Bipolar Plate Material on Proton Exchange Membrane Fuel Cell Performance

    Energies · 2022

    Tabbi Wilberforce, Oluwatosin Ijaodola, Ahmad Baroutaji, Emmanuel Ogungbemi, Abdul Ghani Olabi

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  31. Artificial intelligence-incorporated membrane fouling prediction for membrane-based processes in the past 20 years: A critical review

    Water Research · 2022

    Chengxin Niu, Xuesong Li, Ruobin Dai, Zhiwei Wang

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  32. Data-driven prediction of neutralizer pH and valve position towards precise control of chemical dosage in a wastewater treatment plant

    Journal of Cleaner Production · 2022

    Yanran Xu, Xuhui Zeng, Sandy Bernard, Zhen He

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  33. Emerging Challenges and Opportunities for Electrified Membranes to Enhance Water Treatment

    Environmental Science & Technology · 2022

    Yumeng Zhao, Meng Sun, Lea R. Winter, Shihong Lin, Zhiwei Wang, John C. Crittenden, Jun Ma

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  34. Application of machine learning to predict the inhibitory activity of organic chemicals on thyroid stimulating hormone receptor

    Environmental Research · 2022

    Xiaotian Xu, Chen Wang, Bingxin Gui, Xiangyi Yuan, Chao Li, Yuan Hui Zhao, Christopher Joseph Martyniuk, Limin Su

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  35. Insight into the synthesis and adsorption mechanism of adsorbents for efficient phosphate removal: Exploration from synthesis to modification

    Chemical Engineering Journal · 2022

    Meng Du, Yueyan Zhang, Zeyi Wang, Mengran Lv, Aiqi Tang, Yu Lan Yang, Xuan Qu, Zhiqiang Chen, Qinxue Wen, Ang Li

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  36. Geogenic manganese and iron in groundwater of Southeast Asia and Bangladesh – Machine learning spatial prediction modeling and comparison with arsenic

    The Science of The Total Environment · 2022

    Joel E. Podgorski, Dahyann Araya, Michael Berg

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  37. Utilization of Improved Machine Learning Method Based on Artificial Hummingbird Algorithm to Predict the Tribological Behavior of Cu-Al2O3 Nanocomposites Synthesized by In Situ Method

    Mathematics · 2022

    Ayman M. Sadoun, Ismail R. Najjar, Ghazi S. Alsoruji, Mohamed S. Abd-Elwahed, Mohamed Abd Elaziz, A. Fathy

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  38. A comprehensive review on algae removal and control by coagulation-based processes: mechanism, material, and application

    Separation and Purification Technology · 2022

    Bangxing Ren, Katelin A. Weitzel, Xiaodi Duan, Mallikarjuna N. Nadagouda, Dionysios D. Dionysiou

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  39. Iron-based advanced oxidation processes for enhancing sludge dewaterability: State of the art, challenges, and sludge reuse

    Water Research · 2022

    Jialin Liang, Yan Chun Zhou

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  40. Advancement in Deep Learning Methods for Diagnosis and Prognosis of Cervical Cancer

    Current Genomics · 2022

    Pankaj Yadav, Akshat Gupta, Alisha Parveen, Abhishek Kumar

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  41. Establishment of New Genetic Markers and Methods for Sex Determination of Mouse and Human Cells using Polymerase Chain Reactions and Crude DNA Samples

    Current Genomics · 2022

    Hong Ma, Dezhong Joshua Liao, Keyin Zhang, Jianglin Yang, Zhenwei Qin, Tianzu Lu, Didong Lou, Qianchuan Ran, Hai Huang, Shuqiang Cheng, Lucas Zellmer

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  42. Machine Learning in Computational Chemistry

    Venue not supplied by source · 2022

    David Kuntz

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  43. Algal bloom forecasting with time-frequency analysis: A hybrid deep learning approach

    Water Research · 2022

    Muyuan Liu, Junyu He, Yuzhou Huang, Tao Tang, Jing Hu, Xi Xiao

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  44. Enhanced understanding of osmotic membrane bioreactors through machine learning modeling of water flux and salinity

    The Science of The Total Environment · 2022

    Hau‐Ming Chang, Yanran Xu, Shiao‐Shing Chen, Zhen He

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  45. Recent Trends in AI-Based Intelligent Sensing

    Electronics · 2022

    Abhishek Sharma, Vaidehi Sharma, Mohita Jaiswal, Hwang-Cheng Wang, Dushantha Nalin K. Jayakody, Chathuranga M. Wijerathna Basnayaka, Ammar Muthanna

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  46. AI and Big Data in Water Environments

    ACS ES&T Water · 2022

    Huichun Judy Zhang

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  47. Insights into the Mechanism of Ozone Activation and Singlet Oxygen Generation on N-Doped Defective Nanocarbons: A DFT and Machine Learning Study

    Environmental Science & Technology · 2022

    Guangfei Yu, Yiqiu Wu, Hongbin Cao, Qingfeng Ge, Qin Dai, Sihan Sun, Yongbing Xie

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  48. Assessment of perfluorohexane sulfonic acid (PFHxS)-related compounds degradation potential: Computational and experimental approaches

    Journal of Hazardous Materials · 2022

    Huifang Zhong, Wencheng Liu, Ningqi Li, Donghui Ma, Chunyan Zhao, Juan Li, Yawei Wang, Guibin Jiang

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  49. Direct Prediction of Physicochemical Properties and Toxicities of Chemicals from Analytical Descriptors by GC–MS

    Analytical Chemistry · 2022

    Yasuyuki Zushi

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  50. Urban–Rural Disparities in Air Quality Responses to Traffic Changes in a Megacity of China Revealed Using Machine Learning

    Environmental Science & Technology Letters · 2022

    Yifan Wen, Zihang Zhou, Shaojun Zhang, Timothy J. Wallington, Wei Shen, Qinwen Tan, Ye Deng, Ye Wu

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