Papers citing Machine Learning: New Ideas and Tools in Environmental Science and Engineering
Integrated Sensors into Artificial IntelligenceMining(AI-Mining) Data Acquisition of Environmental Features
Venue not supplied by source · 2022
Hanna Arini Parhusip, Suryasatriya Trihandaru, Atyanta Nika Rumaksari, Magdalena Dwi Puspitasari, Adrianus Herry Haryadi, Petrus Priyo Santosa
Read original paper ↗ ·Machine learning approach for climate change impact assessment in agricultural production
Elsevier eBooks · 2022
Swati Singh, K. V. Suresh Babu, Shivani Singh
Read original paper ↗ ·Leukemia can be Effectively Early Predicted in Routine Physical Examination with the Assistance of Machine Learning Models
Journal of Healthcare Engineering · 2022
Cheng Ching Yu, Yin-yin Peng, Lin Liu, Xin Wang, Qing Xiao
Read original paper ↗ ·Diagnosing the Model Bias in Simulating Daily Surface Ozone Variability Using a Machine Learning Method: The Effects of Dry Deposition and Cloud Optical Depth
Environmental Science & Technology · 2022
Xingpei Ye, Xiaolin Wang, Lin Zhang
Read original paper ↗ ·Environmental behavior, human health effect, and pollution control of heavy metal(loid)s toward full life cycle processes
Eco-Environment & Health · 2022
Haoyu Deng, Yuling Tu, Han Wang, Ziyi Wang, Yanyu Li, Liyuan Chai, Wenchao Zhang, Zhang Lin
Read original paper ↗ ·Bioplastic design using multitask deep neural networks
Communications Materials · 2022
Christopher Kuenneth, Jessica N. Lalonde, Babetta L. Marrone, Carl N. Iverson, Rampi Ramprasad, Ghanshyam Pilania
Read original paper ↗ ·Prediction of Solid Conversion Process in Direct Reduction Iron Oxide Using Machine Learning
Energies · 2022
Masih Hosseinzadeh, Hossein Mashhadimoslem, Farid Maleki, Ali Elkamel
Read original paper ↗ ·Machine learning-assisted exploration for carbon neutrality potential of municipal sludge recycling via hydrothermal carbonization
Bioresource Technology · 2022
Xinzhe Zhu, Bingyou Liu, Lianpeng Sun, Ruohong Li, Huanzhong Deng, Xiefei Zhu, Daniel C.W. Tsang
Read original paper ↗ ·Estimating the CO2 emissions of Chinese cities from 2011 to 2020 based on SPNN-GNNWR
Environmental Research · 2022
Lizhi Miao, Sheng Tang, Xinting Li, Dingyu Yu, Yamei Deng, Hang Tian, Haozhou Yang, Yunxuan Liang, Mei‐Po Kwan, Lei Huang
Read original paper ↗ ·Exploring the nonlinear partitioning mechanism of volatile organic contaminants between soil and soil vapor using machine learning
Chemosphere · 2022
Jun Man, Maosheng Zhong, Qing Zhou, Lin Jiang, Yijun Yao
Read original paper ↗ ·Application of Machine Learning Algorithms in Project Economics Review
International Conference on Knowledge Engineering and Communication Systems (ICKECS) · 2022
Chenhong Zheng, Mengzhe Liu, Ying Wang, Cong Zeng
Read original paper ↗ ·Algal community structure prediction by machine learning
Environmental Science and Ecotechnology · 2022
Muyuan Liu, Yuzhou Huang, Jing Hu, Junyu He, Xi Xiao
Read original paper ↗ ·Selective adsorption processes for fructooligosaccharides separation by activated carbon and zeolites through machine learning
Process Safety and Environmental Protection · 2022
Ana Carolina Ferreira Piazzi Fuhr, Yasmin Vieira, Raquel C. Kuhn, Nina Paula Gonçalves Salau
Read original paper ↗ ·A Comprehensive Prediction and Interpretation of Concrete Corrosion Induced by Carbon Dioxide Using Machine Learning
SSRN Electronic Journal · 2023
Jie Wang, Zengqi Zhang, Xiaoming Liu, Yang Shao, Xinyue Liu, Huimin Wang
Read original paper ↗ ·Data-driven approaches to heterogeneous datasets
Venue not supplied by source · 2023
Paul Villanueva
Read original paper ↗ ·Effect-directed analysis and beyond: how to find causal environmental toxicants
Exposome · 2023
Zhenyu Tian, Madison H. McMinn, Mingliang Fang
Read original paper ↗ ·Electrochemically and Ultrasonically-Enhanced Coagulation for Algae Removal
Green and Sustainable Chemistry · 2023
Djamel Ghernaout, Noureddine Ali Elboughdiri
Read original paper ↗ ·Ensemble Methods in Materials AI — Why Models Disagree and What It Means Scientifically
Journal of Artificial Intelligence for Materials Science · 2023
Claire Martin, Julien Robert, Sophie Bernard
Read original paper ↗ ·Gasification of Organic Waste: Parameters, Mechanism and Prediction with the Machine Learning Approach
JOURNAL OF RENEWABLE MATERIALS · 2023
Feng Gao, Liang Bao, Qin Wang
Read original paper ↗ ·Importance of machine learning in market research
AIP conference proceedings · 2023
Prashast Singh, Bhuvanesh Kumar Sharma
Read original paper ↗ ·Improved environmental chemistry property prediction of molecules with graph machine learning
Green Chemistry · 2023
Shang Zhu, Bichlien H. Nguyen, Yingce Xia, Kali Frost, Shufang Xie, Venkatasubramanian Viswanathan, Jake A. Smith
Read original paper ↗ ·Integrated Analysis of Distribution Patterns, Driving Factors, Source Apportionment, and Risk Assessment of Soil Contaminants in an Industrial Park: A Methodological Study
SSRN Electronic Journal · 2023
Minke Xu, Ruicheng He, Guannan Cui, Jinjin Wei, Xin Li, Yunfeng Xie, Peili Shi
Read original paper ↗ ·LSTM-Based Anomaly Detection in Manufacturing Environmental Monitoring Data
Automation and Machine Learning · 2023
Junjing Qiao, Enxian Zhou
Read original paper ↗ ·Machine Learning Application In Modeling Organic Pollutant Adsorption on Carbonaceous Materials: A Comprehensive Review with Statistical Insights
SSRN Electronic Journal · 2023
Zichu Wang, Jianwei Yu, Qi Wang, Fan Yang, Chunmiao Wang, Min Yang
Read original paper ↗ ·Machine Learning Based Model Construction and Identification of Dominant Factor for Simultaneous Sulfide and Nitrate Removal Process
SSRN Electronic Journal · 2023
Hong Jun Gao, Bilong Chen, Qaisar Mahmood, Juqing Lou, Yue Sun, Jing Cai
Read original paper ↗ ·Novel strategies and approaches toward toxicity assessment: a key factor for safety assessment and management of per- and polyfluoroalkyl substances
中国科学通报：英文版 · 2023
Yao Lü, Chunyan Zhao, Hanyong Peng, Jinghua Hao, Chunyang Liao, Yong Li Liang, Yawei Wang, Guibin Jiang
Read original paper ↗ ·Overcoming the challenges of data integration in ecosystem studies with machine learning workflows: an example from the Santos project
Ocean and Coastal Research · 2023
Gustavo Fonseca, Danilo Cândido Vieira
Read original paper ↗ ·Refining the Understanding of Ozone Formation Response Regulations Through Ensemble Machine Learning Analysis in Highly Polluted Areas
SSRN Electronic Journal · 2023
Qiaoli Wang, Shengdong Yao, Chengzhi Wu, Dongping Sheng, Jingkai Zhao, Feili Li, Xiaojie Ou, Shihan Zhang, Wei Li, Jianmeng Chen
Read original paper ↗ ·Tree-Based Ensemble Machine Learning Model For Predictive and Interpretability Analysis of Nitrate Reduction by Zero-Valent Iron Rate Constant and Product Conversion
SSRN Electronic Journal · 2023
Donghwi Jung, Nurul Alvia Istiqomah
Read original paper ↗ ·Prediction modelling framework comparative analysis of dissolved oxygen concentration variations using support vector regression coupled with multiple feature engineering and optimization methods: A case study in China
Ecological Indicators · 2023
Xizhi Nong, Cheng Lai, Lihua Chen, Dongguo Shao, Chi Zhang, Jiankui Liang
Read original paper ↗ ·Prediction of nano, fine, and medium colloidal phosphorus in agricultural soils with machine learning
Environmental Research · 2023
Kamel Mohamed Eltohamy, Sangar Khan, Shuang He, Jianye Li, Chunlong Liu, Xinqiang Liang
Read original paper ↗ ·Machine Learning-Based Predominant Driving Factors Impacting Urban Industrial Wastewater Discharge in the Yellow River Basin
ACS ES&T Water · 2023
Libo Xia, Beibei Wu, Anqi Dai, Yun Zhou
Read original paper ↗ ·Artificial Intelligence-Assisted Prediction of Effluent Phosphorus in a Full-Scale Wastewater Treatment Plant with Missing Phosphorus Input and Removal Data
ACS ES&T Water · 2023
Yanran Xu, Zixuan Wang, Shaker Nairat, Jianpeng Zhou, Zhen He
Read original paper ↗ ·A GENERIC MACHINE LEARNING-BASED FRAMEWORK FOR PREDICTIVE MODELING OF LAND SURFACE TEMPERATURE
The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · 2023
Nyenshu Seb Rengma, Manish Kumar Yadav
Read original paper ↗ ·More Than Half of Statistically Significant Research Findings in the Environmental Sciences are Actually Not
Venue not supplied by source · 2023
Teshome Kebede Deressa, David I. Stern, Jaco Vangronsveld, Jan Christoph Minx, Sebastien Lizin, Robert Malina, Stephan B. Bruns
Read original paper ↗ ·Prediction heavy metals accumulation risk in rice using machine learning and mapping pollution risk
Journal of Hazardous Materials · 2023
Bing Zhao, Wenxuan Zhu, Shefeng Hao, Ming Hua, Qiling Liao, Jing Han Yang, Ling Liu, Xueyuan Gu
Read original paper ↗ ·Development of asphalt pavement temperature prediction models utilising multiple regression and artificial neural network approaches: a field study in North America
International Journal of Pavement Engineering · 2023
Xinyi Yang, Xingyu Wang, Joseph Herbert Podolsky, Ying Huang, Pan Lu
Read original paper ↗ ·Machine Learning Facilitates the Application of Electrochemically Induced Precipitation for the Removal of Phosphorous
ACS ES&T Water · 2023
Jingwei Hao, Junke Zhang, Xuewei Li, Meng Qiao, Xu Zhao
Read original paper ↗ ·Use of an artificial neural network model for estimation of unfrozen water content in frozen soils
Canadian Geotechnical Journal · 2023
Junping Ren, Xudong Fan, Xiong Bill Yu, Sai K. Vanapalli, Shoulong Zhang
Read original paper ↗ ·Operational parameter prediction of electrocoagulation system in a rural decentralized water treatment plant by interpretable machine learning model
Journal of Environmental Management · 2023
Bowen Li, Chaojie Lu, Jin Zhao, Jiayu Tian, Jingqiu Sun, Chengzhi Hu
Read original paper ↗ ·On the prediction of the mechanical properties of ultrafine grain Al-TiO2 nanocomposites using a modified long-short term memory model with beluga whale optimizer
Journal of Materials Research and Technology · 2023
Ghazi S. Alsoruji, Ayman M. Sadoun, Mohamed Abd Elaziz, Mohammed Azmi Al‐Betar, A.W. Abdallah, A. Fathy
Read original paper ↗ ·Feature extraction and prediction of fine particulate matter (PM2.5) chemical constituents using four machine learning models
Expert Systems with Applications · 2023
Young Su Lee, Eunhwa Choi, Minjae Park, Hyeri Jo, Man Ho Park, Eunjung Nam, Dai Gon Kim, Seung‐Muk Yi, Jae Young Kim
Read original paper ↗ ·A machine learning based approach for estimating site-specific partition coefficient Kd of organic compounds: Application to nonionic pesticides
Environmental Pollution · 2023
Wankai Ma, Meie Wang, Rong Jiang, Weiping Chen
Read original paper ↗ ·Source or sink role of an urban lake for microplastics from Guangdong-Hong Kong-Macao greater bay area, China
Environmental Research · 2023
Bo Li, Bowen Li, Qunpo Jia, Bin Hong, Yulei Xie, Yuan Xiao, Jinping Peng, Yanpeng Cai, Zhifeng Yang
Read original paper ↗ ·A Data-Driven Binary-Regression Framework for Rapid Screening of Marine Fuel Oil
Ocean Science Journal · 2023
Andrew Loh, Un Hyuk Yim
Read original paper ↗ ·Interpretable machine learning assisted spectroscopy for fast characterization of biomass and waste
Waste Management · 2023
Rui Liang, Chao Chen, Tingxuan Sun, Junyu Tao, Xiaoling Hao, Yude Gu, Yaru Xu, Beibei Yan, Guanyi Chen
Read original paper ↗ ·Spatial prediction of soil contamination based on machine learning: a review
Frontiers of Environmental Science & Engineering · 2023
Yang Zhang, Mei Lei, Kai Li, Tienan Ju
Read original paper ↗ ·Enhancing Biochar-Based Nonradical Persulfate Activation Using Data-Driven Techniques
Environmental Science & Technology · 2023
Rupeng Wang, Shiyu Zhang, Honglin Chen, Zixiang He, Guoliang Cao, Ke Wang, Fanghua Li, Nanqi Ren, Defeng Xing, Shih‐Hsin Ho
Read original paper ↗ ·Optimizing the Quality of Machine Learning for Identifying the Share of Biogenic and Fossil Carbon in Solid Waste
Analytical Chemistry · 2023
Dong-Ying Lan, Pinjing He, Ya-Ping Qi, Ting-Wei Wu, Hao-Yang Xian, Ruiheng Wang, Fan Lü, Hua Zhang
Read original paper ↗ ·People's olfactory perception potential mapping using a machine learning algorithm: A Spatio-temporal approach
Sustainable Cities and Society · 2023
Mahsa Farahani, Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi‐Niaraki, Soo-Mi Choi
Read original paper ↗ ·