Development of an advanced machine learning model to predict the pH of groundwater in permeable reactive barriers (PRBs) located in acidic terrain

Author:

Medawela Subhani,Armaghani Danial Jahed,Indraratna Buddhima,Kerry Rowe R.,Thamwattana NatalieORCID

Publisher

Elsevier BV

Subject

Computer Science Applications,Geotechnical Engineering and Engineering Geology

Reference51 articles.

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3. Development of hybrid intelligent models for predicting TBM penetration rate in hard rock condition;Armaghani;Tunn. Undergr. Sp. Technol.,2017

4. Mapping wetlands and riparian areas using Landsat ETM+ imagery and decision-tree-based models;Baker;Wetlands,2006

5. Characterisation and assessment of recycled concrete aggregates used in a permeable reactive barrier for the treatment of acidic groundwater;Banasiak;Geomech. Geoeng.,2013

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