A review on emerging artificial intelligence (AI) techniques for air pollution forecasting: Fundamentals, application and performance
Accurate air quality forecasting is critical for systematic pollution control as well as public
health and wellness. Most of the traditional forecasting techniques have shown inconsistent …
health and wellness. Most of the traditional forecasting techniques have shown inconsistent …
[HTML][HTML] A comprehensive review of the development of land use regression approaches for modeling spatiotemporal variations of ambient air pollution: A perspective …
X Ma, B Zou, J Deng, J Gao, I Longley, S Xiao… - Environment …, 2024 - Elsevier
Land use regression (LUR) models are widely used in epidemiological and environmental
studies to estimate humans' exposure to air pollution within urban areas. However, the early …
studies to estimate humans' exposure to air pollution within urban areas. However, the early …
Study of ARIMA and least square support vector machine (LS-SVM) models for the prediction of SARS-CoV-2 confirmed cases in the most affected countries
Discussions about the recently identified deadly coronavirus disease (COVID-19) which
originated in Wuhan, China in December 2019 are common around the globe now. This is …
originated in Wuhan, China in December 2019 are common around the globe now. This is …
Solar radiation forecasting using MARS, CART, M5, and random forest model: A case study for India
Solar radiation is a critical requirement for all solar power plants. As it is a time-varying
quantity, the power output of any solar power plant is also time variant in nature. Hence, for …
quantity, the power output of any solar power plant is also time variant in nature. Hence, for …
On the applicability of maximum overlap discrete wavelet transform integrated with MARS and M5 model tree for monthly pan evaporation prediction
Accurate pan evaporation (E pan) prediction is a critical issue in water resources
management, particularly when designing and managing rural water resource systems, and …
management, particularly when designing and managing rural water resource systems, and …
Modeling monthly streamflow in mountainous basin by MARS, GMDH-NN and DENFIS using hydroclimatic data
Accurate estimation of streamflow has a vital importance in water resources engineering,
management and planning. In the present study, the abilities of group method of data …
management and planning. In the present study, the abilities of group method of data …
Modeling stage–discharge–sediment using support vector machine and artificial neural network coupled with wavelet transform
Many real water issues involve rivers' sediment load or the load that rivers can bring without
degrading the fluvial ecosystem. Therefore, the assessment of sediments carried by a river is …
degrading the fluvial ecosystem. Therefore, the assessment of sediments carried by a river is …
A hybrid air quality early-warning framework: An hourly forecasting model with online sequential extreme learning machines and empirical mode decomposition …
Modelling air quality with a practical tool that produces real-time forecasts to mitigate risk to
public health continues to face significant challenges considering the chaotic, non-linear …
public health continues to face significant challenges considering the chaotic, non-linear …
Evaluation of machine learning models for predicting the temporal variations of dust storm index in arid regions of Iran
Z Ebrahimi-Khusfi, R Taghizadeh-Mehrjardi… - Atmospheric Pollution …, 2021 - Elsevier
It is necessary to predict wind erosion events and specify the related effective factors to
prioritize management and executive measures to combat desertification caused by wind …
prioritize management and executive measures to combat desertification caused by wind …
Modeling multistep ahead dissolved oxygen concentration using improved support vector machines by a hybrid metaheuristic algorithm
Dissolved oxygen (DO) concentration is an important water-quality parameter, and its
estimation is very important for aquatic ecosystems, drinking water resources, and agro …
estimation is very important for aquatic ecosystems, drinking water resources, and agro …