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Machine learning in geo-and environmental sciences: From small to large scale
P Tahmasebi, S Kamrava, T Bai, M Sahimi - Advances in Water Resources, 2020 - Elsevier
In recent years significant breakthroughs in exploring big data, recognition of complex
patterns, and predicting intricate variables have been made. One efficient way of analyzing …
patterns, and predicting intricate variables have been made. One efficient way of analyzing …
An overview of energy demand forecasting methods published in 2005–2015
I Ghalehkhondabi, E Ardjmand, GR Weckman… - Energy Systems, 2017 - Springer
The importance of energy demand management has been more vital in recent decades as
the resources are getting less, emission is getting more and developments in applying …
the resources are getting less, emission is getting more and developments in applying …
Water quality modelling using principal component analysis and artificial neural network
The study investigates the latent pollution sources and most significant parameters that
cause spatial variation and develops the best input for water quality modelling using …
cause spatial variation and develops the best input for water quality modelling using …
Deterministic and probabilistic health risk assessment techniques to evaluate non-carcinogenic human health risk (NHHR) due to fluoride and nitrate in groundwater …
L Kaur, MS Rishi, AU Siddiqui - Environmental Pollution, 2020 - Elsevier
Human interferences have caused groundwater contamination in alluvial aquifers which
subsequently affects the health of exposed population. In the present study, 74 groundwater …
subsequently affects the health of exposed population. In the present study, 74 groundwater …
A geographically weighted regression model augmented by Geodetector analysis and principal component analysis for the spatial distribution of PM2. 5
R Zhao, L Zhan, M Yao, L Yang - Sustainable Cities and Society, 2020 - Elsevier
This study develops an augmented geographically weighted regression (GWR) model to
analyze the spatial distribution of PM 2.5 concentrations through the incorporation of …
analyze the spatial distribution of PM 2.5 concentrations through the incorporation of …
Assessment of surface water quality using multivariate statistical techniques: A case study of the Fuji river basin, Japan
S Shrestha, F Kazama - Environmental modelling & software, 2007 - Elsevier
Multivariate statistical techniques, such as cluster analysis (CA), principal component
analysis (PCA), factor analysis (FA) and discriminant analysis (DA), were applied for the …
analysis (PCA), factor analysis (FA) and discriminant analysis (DA), were applied for the …
Multiple linear regression and artificial neural networks based on principal components to predict ozone concentrations
SIV Sousa, FG Martins, MCM Alvim-Ferraz… - … Modelling & Software, 2007 - Elsevier
The prediction of tropospheric ozone concentrations is very important due to the negative
impacts of ozone on human health, climate and vegetation. The development of models to …
impacts of ozone on human health, climate and vegetation. The development of models to …
Spatial assessment of air quality patterns in Malaysia using multivariate analysis
D Dominick, H Juahir, MT Latif, SM Zain… - Atmospheric environment, 2012 - Elsevier
This study aims to investigate possible sources of air pollutants and the spatial patterns
within the eight selected Malaysian air monitoring stations based on a two-year database …
within the eight selected Malaysian air monitoring stations based on a two-year database …
Ozone modelling and map** for risk assessment: an overview of different approaches for human and ecosystems health
A De Marco, H Garcia-Gomez, A Collalti… - Environmental …, 2022 - Elsevier
Tropospheric ozone (O 3) is one of the most concernedair pollutants dueto its widespread
impacts on land vegetated ecosystems and human health. Ozone is also the third …
impacts on land vegetated ecosystems and human health. Ozone is also the third …
Industry 4.0 and demand forecasting of the energy supply chain: A literature review
The number of publications in demand forecasting of the energy supply chain augmented
meaningfully due to the 2008 global financial crisis and its consequence on the global …
meaningfully due to the 2008 global financial crisis and its consequence on the global …