Výsledky vyhledávání - "Mitchell Sueker"

Akademický článek

A Novel Machine-Learning Framework Based on a Hierarchy of Dispute Models for the Identification of Fish Species Using Multi-Mode Spectroscopy

Autor: Mitchell Sueker, Amirreza Daghighi, Alireza Akhbardeh, Nicholas MacKinnon, Gregory Bearman, Insuck Baek, Chansong Hwang, Jianwei Qin, Amanda M. Tabb, Jiahleen B. Roungchun, Rosalee S. Hellberg, Fartash Vasefi, Moon Kim, Kouhyar Tavakolian, Hossein Kashani Zadeh

Publikováno v: Sensors, Vol 23, Iss 22, p 9062 (2023)

Seafood mislabeling rates of approximately 20% have been reported globally. Traditional methods for fish species identification, such as DNA analysis and polymerase chain reaction (PCR), are expensive and time-consuming, and require skilled technicia

Externí odkaz: https://doaj.org/article/0d508fb6a3af4409872748ee3f6e3fb3

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Akademický článek

Rapid Assessment of Fish Freshness for Multiple Supply-Chain Nodes Using Multi-Mode Spectroscopy and Fusion-Based Artificial Intelligence

Publikováno v: Sensors, Vol 23, Iss 11, p 5149 (2023)

This study is directed towards developing a fast, non-destructive, and easy-to-use handheld multimode spectroscopic system for fish quality assessment. We apply data fusion of visible near infra-red (VIS-NIR) and short wave infra-red (SWIR) reflectan

Externí odkaz: https://doaj.org/article/fcedc67f868441888b156663dc585d80

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Akademický článek

Handheld Multispectral Fluorescence Imaging System to Detect and Disinfect Surface Contamination

Autor: Mitchell Sueker, Kristen Stromsodt, Hamed Taheri Gorji, Fartash Vasefi, Nadeem Khan, Taylor Schmit, Rangati Varma, Nicholas Mackinnon, Stanislav Sokolov, Alireza Akhbardeh, Bo Liang, Jianwei Qin, Diane E. Chan, Insuck Baek, Moon S. Kim, Kouhyar Tavakolian

Publikováno v: Sensors, Vol 21, Iss 21, p 7222 (2021)

Contamination inspection is an ongoing concern for food distributors, restaurant owners, caterers, and others who handle food. Food contamination must be prevented, and zero tolerance legal requirements and damage to the reputation of institutions or

Externí odkaz: https://doaj.org/article/ddbcbbbc419f4464ba06858fdb15d461

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