"Deep Learning-Based Quantitative Assessment of Melamine and Cyanuric Acid ..."

Rahul Joshi et al. (2023)

> Home

Details and statistics

DOI: 10.3390/S23115020

access: open

type: Journal Article

metadata version: 2023-07-13

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/sensors/JoshiGFB0BC23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/sensors/JoshiGFB0BC23
Rahul Joshi, Lakshmi Priya GG, Mohammad Akbar Faqeerzada, Tanima Bhattacharya, Moon Sung Kim, In-Suck Baek, Byoung-Kwan Cho:
Deep Learning-Based Quantitative Assessment of Melamine and Cyanuric Acid in Pet Food Using Fourier Transform Infrared Spectroscopy. Sensors 23(11): 5020 (2023)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.