Prediction of gross calorific value from coal analysis using decision tree-based bagging and boosting techniques-Reference-Cited by-同舟云学术

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Prediction of gross calorific value from coal analysis using decision tree-based bagging and boosting techniques

Published:2024-01 Issue:1 Volume:10 Page:e23395
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Munshi Tanveer Alam,Jahan Labiba Nusrat,Howladar M. Farhad,Hashan Mahamudul^ORCID

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference59 articles.

1. An introduction to coal quality;Schweinfurth,2009

2. Standard practice for ultimate analysis of coal and coke;ASTM standard D3176-97,2015

3. Prediction of gross calorific value of solid fuels from their proximate analysis using soft computing and regression analysis;Onifade;International Journal of Coal Preparation and Utilization,2019

4. Calorific value and compositional ultimate analysis with a case study of a Texas lignite;Olea;Int. J. Coal Geol.,2016

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1. A recommendation attack detection approach integrating CNN with Bagging;Computers & Security;2024-11

2. Reservoir rock typing assessment in a coal-tight sand based heterogeneous geological formation through advanced AI methods;Scientific Reports;2024-03-07

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