Applying artificial neural networks (ANNs) to solve solid waste-related issues: A critical review
A Xu, H Chang, Y Xu, R Li, X Li, Y Zhao - Waste Management, 2021 - Elsevier
Artificial neural networks (ANNs) have recently attracted significant attention in
environmental areas because of their great self-learning capability and good accuracy in …
environmental areas because of their great self-learning capability and good accuracy in …
Coastal water quality prediction based on machine learning with feature interpretation and spatio-temporal analysis
Coastal water quality management is a public health concern, as water of poor quality can
potentially harbor dangerous pathogens. In this study, we employ routine monitoring data of …
potentially harbor dangerous pathogens. In this study, we employ routine monitoring data of …
Improving the robustness of beach water quality modeling using an ensemble machine learning approach
Microbial pollution of beach water can expose swimmers to harmful pathogens. Predictive
modeling provides an alternative method for beach management that addresses several …
modeling provides an alternative method for beach management that addresses several …
Development of machine learning multi-city model for municipal solid waste generation prediction
W Lu, W Huo, H Gulina, C Pan - Frontiers of Environmental Science & …, 2022 - Springer
Integrated management of municipal solid waste (MSW) is a major environmental challenge
encountered by many countries. To support waste treatment/management and national …
encountered by many countries. To support waste treatment/management and national …
A day at the beach: Enabling coastal water quality prediction with high-frequency sampling and data-driven models
To reduce the incidence of recreational waterborne illness, fecal indicator bacteria (FIB) are
measured to assess water quality and inform beach management. Recently, predictive FIB …
measured to assess water quality and inform beach management. Recently, predictive FIB …
Evaluation of E. coli in sediment for assessing irrigation water quality using machine learning
Fresh produce irrigated with contaminated water poses a substantial risk to human health.
This study evaluated the impact of incorporating sediment information on improving the …
This study evaluated the impact of incorporating sediment information on improving the …
Prediction of antibiotic-resistance genes occurrence at a recreational beach with deep learning models
Antibiotic resistance genes (ARGs) have been reported to threaten the public health of
beachgoers worldwide. Although ARG monitoring and beach guidelines are necessary …
beachgoers worldwide. Although ARG monitoring and beach guidelines are necessary …
人工智能技术在水污染治理领域的研究进展
魏潇淑， 高红杰， 陈远航， 常明 - 环境工程技术学报, 2022 - hjgcjsxb.org.cn
人工智能技术具有自学习, 自适应和自组织的独特性能, 目前已被广泛地应用于水环境污染,
大气污染, 固废处理, 气候变化等环境领域, 是环境监控和治理的良好助力手段 …
大气污染, 固废处理, 气候变化等环境领域, 是环境监控和治理的良好助力手段 …
Real-time nowcasting of microbiological water quality at recreational beaches: a wavelet and artificial neural network-based hybrid modeling approach
The number of beach closings caused by bacterial contamination has continued to rise in
recent years, putting beachgoers at risk of exposure to contaminated water. Current …
recent years, putting beachgoers at risk of exposure to contaminated water. Current …
Comparing regression models with count data to artificial neural network and ensemble models for prediction of generic Escherichia coli population in agricultural …
Indicator microorganisms are monitored in agricultural waters to foster produce safety.
Various prediction models are used to estimate the population of indicator microorganisms …
Various prediction models are used to estimate the population of indicator microorganisms …