[HTML][HTML] Tutorial: Guidelines for implementing low-cost sensor networks for aerosol monitoring
N Zimmerman - Journal of Aerosol Science, 2022 - Elsevier
Over the past decade, there has been exponential growth in low-cost air pollution sensing
technology. While low-cost sensors can provide a path towards more accessible air quality …
technology. While low-cost sensors can provide a path towards more accessible air quality …
A Comparative and Systematic Study of Machine Learning (ML) Approaches for Particulate Matter (PM) Prediction
Air quality in metropolitan areas has deteriorated due to growing urbanisation and
industrialisation, leading to severe health and significant economic consequences. This …
industrialisation, leading to severe health and significant economic consequences. This …
Calibration methodology of low-cost sensors for high-quality monitoring of fine particulate matter
ML Aix, S Schmitz, DJ Bicout - Science of The Total Environment, 2023 - Elsevier
Low concentrations of pollutants may already be associated with significant health effects.
An accurate assessment of individual exposure to pollutants therefore requires measuring …
An accurate assessment of individual exposure to pollutants therefore requires measuring …
Significance of sources and size distribution on calibration of low-cost particle sensors: Evidence from a field sampling campaign
Low-cost sensors (LCS) are gathering the interest of researchers and monitoring agencies
worldwide due to their compact size and economic feasibility. However, the data recorded …
worldwide due to their compact size and economic feasibility. However, the data recorded …
Thermal conductivity prediction of nano enhanced phase change materials: a comparative machine learning approach
F Jaliliantabar - Journal of Energy Storage, 2022 - Elsevier
Thermal conductivity is one of the crucial properties of nano enhanced phase change
materials (NEPCM). Then, in this study three different machine learning methods namely …
materials (NEPCM). Then, in this study three different machine learning methods namely …
Spatiotemporal analysis of fine particulate matter for India (1980–2021) from MERRA-2 using ensemble machine learning
Particle exposure affects more humans globally than any other air pollutant. However, due to
expensive instruments and infrastructural deficiency, a high spatiotemporal network of …
expensive instruments and infrastructural deficiency, a high spatiotemporal network of …
Improving groundwater nitrate concentration prediction using local ensemble of machine learning models
H Mahboobi, A Shakiba, B Mirbagheri - Journal of Environmental …, 2023 - Elsevier
Groundwater is one of the most important water resources around the world, which is
increasingly exposed to contamination. As nitrate is a common pollutant of groundwater and …
increasingly exposed to contamination. As nitrate is a common pollutant of groundwater and …
Investigating the Sensitivity of Low-Cost Sensors in Measuring Particle Number Concentrations across Diverse Atmospheric Conditions in Greece and Spain
Low-cost sensors (LCSs) for particulate matter (PM) concentrations have attracted the
interest of researchers, supplementing their efforts to quantify PM in higher spatiotemporal …
interest of researchers, supplementing their efforts to quantify PM in higher spatiotemporal …
Multiple machine learning algorithms assisted QSPR models for aqueous solubility: Comprehensive assessment with CRITIC-TOPSIS
T Zhu, Y Chen, C Tao - Science of The Total Environment, 2023 - Elsevier
As an essential environmental property, the aqueous solubility quantifies the hydrophobicity
of a compound. It could be further utilized to evaluate the ecological risk and toxicity of …
of a compound. It could be further utilized to evaluate the ecological risk and toxicity of …
Mathematical optimization and prediction of Febuxostat xanthine oxidase inhibitor solubility through supercritical CO2 system using machine-learning approach
U Hani, ZAB Sinnah, AJ Obaidullah, J Alanazi… - Journal of Molecular …, 2023 - Elsevier
Scientific research towards the synthesis and discovery of novel therapeutic agents with
optimal safety, great biological efficiency and acceptable toxicity profile is known as the …
optimal safety, great biological efficiency and acceptable toxicity profile is known as the …