Enhanced Fuel Adulteration Detection Using Surface Plasmon Resonance Biosensor with Machine Learning Optimization in the terahertz regime
Crossref DOI link: https://doi.org/10.1007/s11468-024-02550-8
Published Online: 2024-09-23
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Wekalao, Jacob
Mandela, Ngaira
Langat, Wesley
wamalwa, Calistus
Text and Data Mining valid from 2024-09-23
Version of Record valid from 2024-09-23
Article History
Received: 17 August 2024
Accepted: 17 September 2024
First Online: 23 September 2024
Declarations
:
: Not applicable.
: The authors declare no competing interests.