Investigation of a Sparse Autoencoder-Based Feature Transfer Learning Framework for Hydrogen Monitoring Using Microfluidic Olfaction Detectors

Alternative fuel sources, such as hydrogen-enriched natural gas (HENG), are highly sought after by governments globally for lowering carbon emissions. Consequently, the recognition of hydrogen as a valuable zero-emission energy carrier has increased, resulting in many countries attempting to enrich...

Descripción completa

Detalles Bibliográficos
Autores principales: Mirzaei, Hamed, Ramezankhani, Milad, Earl, Emily, Tasnim, Nishat, Milani, Abbas S., Hoorfar, Mina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9607618/
https://www.ncbi.nlm.nih.gov/pubmed/36298047
http://dx.doi.org/10.3390/s22207696

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9607618/
https://www.ncbi.nlm.nih.gov/pubmed/36298047
http://dx.doi.org/10.3390/s22207696

Ejemplares similares