scholarly journals Forecasting municipal solid waste generation using artificial intelligence models—a case study in India

2019 ◽  
Vol 1 (2) ◽  
Author(s):  
Umang Soni ◽  
Akashdeep Roy ◽  
Ayush Verma ◽  
Vipul Jain
Keyword(s):  
Artificial Intelligence ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Waste Generation ◽  
Intelligence Models ◽  
Artificial Intelligence Models ◽  
Solid Waste Generation

In campus municipal solid waste generation and characterization, case study: Universitas Gadjah Mada, Indonesia

2019 ◽  
Author(s):  
Anggun Rahmada ◽  
Chandra Wahyu Purnomo ◽  
Rochim Bakti Cahyono ◽  
Teguh Ariyanto
Keyword(s):  
Municipal Solid Waste ◽  
Solid Waste ◽  
Waste Generation ◽  
Solid Waste Generation

Various Models Used in Analysing Municipal Solid Waste Generation–A Review

2021 ◽  
Vol 47 (3) ◽  
pp. 569-578
Author(s):  
Rashmi Srinivasaiah ◽  
Devappa Renuka Swamy ◽  
Aswin S. Krishna ◽  
Chandrashekar Vinayak Airsang ◽  
Dinesh C. Reddy ◽  
...  
Keyword(s):  
Municipal Solid Waste ◽  
Solid Waste ◽  
Fuzzy Inference ◽  
Sample Survey ◽  
Waste Generation ◽  
Linear Regression Models ◽  
Inference System ◽  
Artificial Intelligence Models ◽  
Solid Waste Generation ◽  
Conventional Models

At present, factors such as growth in population, economic development, urbanization and improved standard of living increase the quantity and complexity of generated Municipal Solid Waste. The different approaches for developing models for forecasting municipal solid waste generation have been classified into conventional and non-conventional or artificial intelligence models. While the conventional models include sample survey, system dynamics, econometric models, time series analysis, factor driven models and multiple linear regression models, the non-conventional models include artificial neural networks, Fuzzy logic models and Adaptive Neuro Fuzzy Inference System models. In this review, various factors considered for modelling, locations of study, sources of data and various studies conducted by researchers have been tabulated in detail for identifying the major factors and models used in developed and developing countries. Non-conventional models are being preferred because of their capacity to analyse dynamic data and for their prediction accuracy.

scholarly journals Methodology to design a municipal solid waste generation and composition map: A case study

2014 ◽  
Vol 34 (11) ◽  
pp. 1920-1931 ◽  
Author(s):  
A. Gallardo ◽  
M. Carlos ◽  
M. Peris ◽  
F.J. Colomer
Keyword(s):  
Municipal Solid Waste ◽  
Solid Waste ◽  
Waste Generation ◽  
Solid Waste Generation

scholarly journals Municipal solid waste generation, composition and management: issues and challenges. A case study

2015 ◽  
Vol 41 (3) ◽  
Author(s):  
Amimul Ahsan ◽  
Muhammed Alamgir ◽  
Monzur Imteaz ◽  
Shahriar Shams ◽  
Md Kamal Rowshon ◽  
...  
Keyword(s):  
Municipal Solid Waste ◽  
Solid Waste ◽  
Waste Generation ◽  
Solid Waste Generation ◽  
Management Issues
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