Development and Evaluation of Ensemble Learning-based Environmental Methane Detection and Intensity Prediction Models
The environmental impacts of global warming driven by methane (CH 4 ) emissions have catalyzed significant research initiatives in developing novel technologies that enable proactive and rapid detection of CH 4 . Several data-driven machine learning (ML) models were tested to determine how well they...
Saved in:
Main Authors: | Reek Majumder (Author), Jacquan Pollard (Author), M Sabbir Salek (Author), David Werth (Author), Gurcan Comert (Author), Adrian Gale (Author), Sakib Mahmud Khan (Author), Samuel Darko (Author), Mashrur Chowdhury (Author) |
---|---|
Format: | Book |
Published: |
SAGE Publishing,
2024-02-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Lire ensemble, vivre ensemble
by: Bernard Bachman, Anne-Marie Bertrand, Regis Debray, Gilles Eboli, Christophe Evans, Jean-Romain Girodet, Jean-François Hébert, François Larbre, Gilles Manceron, Isabelle Saint-Martin, Gérald Grunberg, Benoît Yvert
Published: (2005) -
Methane: A Bioresource for Fuel and Biomolecules
Published: (2020) -
Seasonal Energy Storage with Power-to-Methane Technology
Published: (2022) -
Novel Ensemble Model Recommendation Approach for the Detection of Dyslexia
by: Ahmed Saeed AlGhamdi
Published: (2022) -
Alterations of the Gut Microbiome Associated to Methane Metabolism in Mexican Children with Obesity
by: Sofía Magdalena Murga-Garrido, et al.
Published: (2022)