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Items where Author is "Frost, Nageena"

Items where Author is "Frost, Nageena"

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apples fungal infections machine learning mass spectrometry neural networks pome fruits
Number of items: 6.

apples

Abdul Kareem, Razia Sulthana ORCID logoORCID: https://orcid.org/0000-0001-5331-1310, Frost, Nageena, Goodall, Iain, Tilford, Timothy ORCID logoORCID: https://orcid.org/0000-0001-8307-6403 and Palacios, Ana Paula (2024) Machine learning to detect fungal infections in stored pome fruits via mass spectrometry data: industry, economic, and social implications. Journal of Advances in Information Technology, 15 (10). pp. 1174-1183. ISSN 1798-2340 (Print), 1798-2340 (Online) (doi:10.12720/jait.15.10.1174-1183)

fungal infections

Abdul Kareem, Razia Sulthana ORCID logoORCID: https://orcid.org/0000-0001-5331-1310, Frost, Nageena, Goodall, Iain, Tilford, Timothy ORCID logoORCID: https://orcid.org/0000-0001-8307-6403 and Palacios, Ana Paula (2024) Machine learning to detect fungal infections in stored pome fruits via mass spectrometry data: industry, economic, and social implications. Journal of Advances in Information Technology, 15 (10). pp. 1174-1183. ISSN 1798-2340 (Print), 1798-2340 (Online) (doi:10.12720/jait.15.10.1174-1183)

machine learning

Abdul Kareem, Razia Sulthana ORCID logoORCID: https://orcid.org/0000-0001-5331-1310, Frost, Nageena, Goodall, Iain, Tilford, Timothy ORCID logoORCID: https://orcid.org/0000-0001-8307-6403 and Palacios, Ana Paula (2024) Machine learning to detect fungal infections in stored pome fruits via mass spectrometry data: industry, economic, and social implications. Journal of Advances in Information Technology, 15 (10). pp. 1174-1183. ISSN 1798-2340 (Print), 1798-2340 (Online) (doi:10.12720/jait.15.10.1174-1183)

mass spectrometry

Abdul Kareem, Razia Sulthana ORCID logoORCID: https://orcid.org/0000-0001-5331-1310, Frost, Nageena, Goodall, Iain, Tilford, Timothy ORCID logoORCID: https://orcid.org/0000-0001-8307-6403 and Palacios, Ana Paula (2024) Machine learning to detect fungal infections in stored pome fruits via mass spectrometry data: industry, economic, and social implications. Journal of Advances in Information Technology, 15 (10). pp. 1174-1183. ISSN 1798-2340 (Print), 1798-2340 (Online) (doi:10.12720/jait.15.10.1174-1183)

neural networks

Abdul Kareem, Razia Sulthana ORCID logoORCID: https://orcid.org/0000-0001-5331-1310, Frost, Nageena, Goodall, Iain, Tilford, Timothy ORCID logoORCID: https://orcid.org/0000-0001-8307-6403 and Palacios, Ana Paula (2024) Machine learning to detect fungal infections in stored pome fruits via mass spectrometry data: industry, economic, and social implications. Journal of Advances in Information Technology, 15 (10). pp. 1174-1183. ISSN 1798-2340 (Print), 1798-2340 (Online) (doi:10.12720/jait.15.10.1174-1183)

pome fruits

Abdul Kareem, Razia Sulthana ORCID logoORCID: https://orcid.org/0000-0001-5331-1310, Frost, Nageena, Goodall, Iain, Tilford, Timothy ORCID logoORCID: https://orcid.org/0000-0001-8307-6403 and Palacios, Ana Paula (2024) Machine learning to detect fungal infections in stored pome fruits via mass spectrometry data: industry, economic, and social implications. Journal of Advances in Information Technology, 15 (10). pp. 1174-1183. ISSN 1798-2340 (Print), 1798-2340 (Online) (doi:10.12720/jait.15.10.1174-1183)

This list was generated on Mon Feb 3 00:20:13 2025 UTC.