Machine learning and artifical intelligence application in land pollution research

Author:

Moradi Mohammad Hossein,Sohani Ali,Zabihigivi Mitra,Wagner Uwe,Koch Thomas,Sayyaadi Hoseyn

Publisher

Elsevier

Reference32 articles.

1. Leachate generation rate modeling using artificial intelligence algorithms aided by input optimization method for an MSW landfill;Abunama;Environmental Science and Pollution Research,2019

2. Andersen, F. M., Larsen, H. V., & Skovgaard, M. (2005). Projection of end-of-life vehicles. Development of a projection model and estimates of ELVs for 2005–2030. European Topic Centre on Resource and Waste Management. ETC/RWM working paper No. 2008/2. http://www.risoe.dk/rispubl/art/2008_28.pdf.

3. Evaluating the ability of artificial neural network and PCA-M5P models in predicting leachate COD load in landfills;Azadi;Waste Management,2016

4. Investigating the capability of estimating soil thermal conductivity using topographical attributes for the Southern Great Plains, USA;Bayat;Soil and Tillage Research,2021

5. A coupled multivariate statistics, geostatistical and machine-learning approach to address soil pollution in a prototypical Hg-mining site in a natural reserve;Boente;Chemosphere,2019

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