Prediction of the shear modulus of municipal solid waste (MSW): An application of machine learning techniques

Author:

Alidoust Pourya,Keramati Mohsen,Hamidian PouriaORCID,Amlashi Amir Tavana,Gharehveran Mahsa ModiriORCID,Behnood AliORCID

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Strategy and Management,General Environmental Science,Renewable Energy, Sustainability and the Environment

Reference59 articles.

1. Forecasting municipal solid waste generation using artificial intelligence modelling approaches;Abbasi;Waste Manag.,2016

2. Dynamic Characteristics and Stability Analysis of Municipal Solid Waste in Bioreactor Landfills;Adil Haque,2007

3. Laboratory-based assessment on similarities between dynamic behavior of MSW and clay;Alidoust;J. Mater. Cycles Waste Manag.,2021

4. Laboratory studies on effect of fiber content on dynamic characteristics of municipal solid waste;Alidoust;Waste Manag.,2018

5. Application of computational intelligence and statistical approaches for auto-estimating the compressive strength of plastic concrete;Amlashi;Eur. J. Environ. Civ. Eng.,2020

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