Use of a biogas-specific e-nose with machine learning to identify biogas pattern changes linked to hydraulic retention times in an anaerobic digester: A case study-Reference-Cited by-同舟云学术

Use of a biogas-specific e-nose with machine learning to identify biogas pattern changes linked to hydraulic retention times in an anaerobic digester: A case study

Published:2024-02 Issue: Volume:357 Page:130013
ISSN:0016-2361
Container-title:Fuel
language:en
Short-container-title:Fuel

Author:

Savand-Roumi Ehsan,Salehiyoun Ahmad Reza,Mohtasebi Seyed Saeid

Funder

University of Tehran

University of Tehran University College of Agriculture and Natural Resources

University of Tehran Science and Technology Park

Publisher

Elsevier BV

Subject

Organic Chemistry,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering

Reference30 articles.

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