Incorporating microbial community data with machine learning techniques to predict feed substrates in microbial fuel cells-Reference-Cited by-同舟云学术

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Incorporating microbial community data with machine learning techniques to predict feed substrates in microbial fuel cells

Published:2019-05 Issue: Volume:133 Page:64-71
ISSN:0956-5663
Container-title:Biosensors and Bioelectronics
language:en
Short-container-title:Biosensors and Bioelectronics

Author:

Cai Wenfang,Lesnik Keaton Larson,Wade Matthew J.,Heidrich Elizabeth S.,Wang Yunhai,Liu Hong

Publisher

Elsevier BV

Subject

Electrochemistry,Biomedical Engineering,General Medicine,Biophysics,Biotechnology

Reference68 articles.

1. Bray-Curtis ordination: an effective strategy for analysis of multivariate ecological data;Beals,1984

2. The Allele-Specific Probe and Primer Amplification Assay, a New Real-Time PCR Method for Fine Quantification of Single-Nucleotide Polymorphisms in Pooled DNA

3. Biosensor for detection of dissolved chromium in potable water: A review

4. Intelligent automation and IT for the optimization of renewable energy and wastewater treatment processes

5. Investigation of a two-dimensional model on microbial fuel cell with different biofilm porosities and external resistances

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