Evaluation of PM10 concentration by using Mars and XGBOOST algorithms in Iğdır Province of Türkiye
S Tırınk, B Öztürk - International Journal of Environmental Science and …, 2023 - Springer
Air pollution is extremely harmful to human health, ecosystems and the climate. In this
context, the level of particulate matter at high concentrations is one of the most important …
context, the level of particulate matter at high concentrations is one of the most important …
Modeling Sulphur Dioxide (SO2) Quality Levels of Jeddah City Using Machine Learning Approaches with Meteorological and Chemical Factors
Modeling air quality in city centers is essential due to environmental and health-related
issues. In this study, machine learning (ML) approaches were used to approximate the …
issues. In this study, machine learning (ML) approaches were used to approximate the …
Random forest regression for statistical modeling and forecasting of PM10
A Ivanov, S Gocheva-Ilieva… - AIP Conference …, 2022 - pubs.aip.org
The PM10 (Particulate Matter with diameter of 10 microns or less) is a major air pollutant
with a number of harmful effects on human health. As a primary pollutant, it is also an …
with a number of harmful effects on human health. As a primary pollutant, it is also an …
Simulating Complex Relationships Between Pollutants and the Environment Using Regression Splines: A Case Study for Landfill Leachate
AH Bhatt, RV Karanjekar, S Altouqi, ML Sattler… - … : Cases and Studies in …, 2023 - Springer
Pollutant concentrations in the environment are functions of source variables, environmental
variables, and time. Relationships among these variables are complex and unknown …
variables, and time. Relationships among these variables are complex and unknown …
Exploring SO2 air pollution in Plovdiv through multivariate adaptive regression splines: A case study
A Ivanov, S Gocheva-Ilieva… - Journal of Physics …, 2024 - iopscience.iop.org
This case study delves into the assessment of Sulfur dioxide (SO 2) air pollution in Plovdiv
by employing Multivariate Adaptive Regression Splines (MARS) to model and understand …
by employing Multivariate Adaptive Regression Splines (MARS) to model and understand …
Using multivariate adaptive regression splines and extremely randomized trees algorithms to predict dust events frequency around an international wetland and …
Z Ebrahimi-Khusfi, AR Nafarzadegan… - Environmental …, 2021 - Springer
This study aimed to evaluate the performance of multivariate adaptive regression splines
(MARS) and extremely randomized trees (ERT) models for predicting the internal and …
(MARS) and extremely randomized trees (ERT) models for predicting the internal and …
Machine learning approach to study and predict air pollution in Ruse, Bulgaria
Air pollution is a modern problem of high importance due to its negative impact on human
health. The Organization for Economic Co-operation and Development (OECD) predicts that …
health. The Organization for Economic Co-operation and Development (OECD) predicts that …
Análise de regressão de trajetória para avaliar episódios de MP10 na cidade de Limeira-SP
FLC de Souza - 2020 - repositorio.unicamp.br
O material particulado (MP) é um poluente atmosférico muito estudado pela comunidade
científica, pelo fato de ser um potencializador de doenças cardiorrespiratórias, cânceres …
científica, pelo fato de ser um potencializador de doenças cardiorrespiratórias, cânceres …