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Trihalomethane prediction model for water supply system based on machine learning and Log-linear regression
Laboratory determination of trihalomethanes (THMs) is a very time-consuming task. Therefore, establishing a THMs model using easily obtainable water...
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Potential impact of future climate change on grassland cover in Burkina Faso
The objective of this study was to analyse the potential impact of future climate change on grassland cover in Burkina Faso. MODIS NDVI 250 m time...
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Scientific evidence invalidates health assumptions underlying the FCC and ICNIRP exposure limit determinations for radiofrequency radiation: implications for 5G
In the late-1990s, the FCC and ICNIRP adopted radiofrequency radiation (RFR) exposure limits to protect the public and workers from adverse effects...
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Impact of climate and weather extremes on soybean and wheat yield using machine learning approach
The escalating climate instability and extreme weather events significantly jeopardize food security. The study assessed the impact of long-term...
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Effects of 4G mobile phone radiation exposure on reproductive, hepatic, renal, and hematological parameters of male Wistar rat
Background and objectiveMobile phones have become a vital part of human life. Due to drastic increase in the number of mobile phone subscribers,...
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Socioeconomic and environmental factors of poverty in China using geographically weighted random forest regression model
Correlations between socioeconomic factors and poverty in regression models do not reflect actual relationships, especially when data exhibit...
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Cyanobacteria blue-green algae prediction enhancement using hybrid machine learning–based gamma test variable selection and empirical wavelet transform
This study aims to evaluate the usefulness and effectiveness of four machine learning (ML) models for modelling cyanobacteria blue-green algae ( CBGA )...
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A new prediction method of industrial atmospheric pollutant emission intensity based on pollutant emission standard quantification
Industrial emissions are the main source of atmospheric pollutants in China. Accurate and reasonable prediction of the emission of atmospheric...
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Meteorological AQI and pollutants concentration-based AQI predictor
Over the past few decades, rapid industrialization and urbanization have severely deteriorated urban air quality. Forecasting the value of air...
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Multiple forecasting approach: a prediction of CO2 emission from the paddy crop in India
This paper compares four prediction methods, namely random forest regressor (RFR), SARIMAX, Holt-Winters (H-W), and the support vector regression...
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Optimization of Cascade Aeration Characteristics and Predicting Aeration Efficiency with Machine Learning Model in Multistage Filtration
The study assesses the optimal aeration efficiency of a stepwise cascade aeration system through experimental trials in a lab scale model setup,...
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Application of machine learning in prediction of Pb2+ adsorption of biochar prepared by tube furnace and fluidized bed
AbstractData mining by machine learning (ML) has recently come into application in heavy metals purification from wastewater, especially in exploring...
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Development of health-based exposure limits for radiofrequency radiation from wireless devices using a benchmark dose approach
BackgroundEpidemiological studies and research on laboratory animals link radiofrequency radiation (RFR) with impacts on the heart, brain, and other...
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Prediction of Interface Friction Angle Between Landfill Liner and Soil Using Machine Learning
This study employs machine learning (ML) techniques and artificial neural networks (ANN) to predict the interface friction angle between the landfill...
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Prediction of water quality parameters using machine learning models: a case study of the Karun River, Iran
Accurate water quality predicting has an essential role in improving water management and pollution control. The machine learning models have been...
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Forecasting of solar radiation for a cleaner environment using robust machine learning techniques
Intensified research is going on worldwide to increase renewable energy sources like solar and wind to reduce emissions and achieve worldwide targets...
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Multivariate statistical analysis of potentially toxic elements in soils under different land uses: Spatial relationship, ecological risk assessment, and source identification
The Qinghai–Tibet Plateau is one of the most fragile and susceptible areas to climate change and human disturbances in the world. Here, a total of 48...
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Review on the impact of cell phone radiation effects on green plants
The aim of this review is to assess the impact of cell phone radiation effects on green plants. Rapid progress in networking and communication...
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Relationship between land surface temperature and urbanization in Vilnius district
The present study aims to evaluate the effect of vegetation on land surface temperature (LST) in different land uses and covers in Vilnius district...
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Optimization of biocementation responses by artificial neural network and random forest in comparison to response surface methodology
In this article, the optimization of the specific urease activity (SUA) and the calcium carbonate (CaCO 3 ) using microbially induced calcite...
