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2021 1
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Page 1
Combining deep learning and fluorescence imaging to automatically identify fecal contamination on meat carcasses.
Gorji HT, Shahabi SM, Sharma A, Tande LQ, Husarik K, Qin J, Chan DE, Baek I, Kim MS, MacKinnon N, Morrow J, Sokolov S, Akhbardeh A, Vasefi F, Tavakolian K. Gorji HT, et al. Sci Rep. 2022 Feb 14;12(1):2392. doi: 10.1038/s41598-022-06379-1. Sci Rep. 2022. PMID: 35165330 Free PMC article.
The EfficientNet-B0 model achieved a 97.32% accuracy (precision 97.66%, recall 97.06%, specificity 97.59%, F-score 97.35%) for discriminating clean and contaminated areas on carcasses. U-Net segmented areas with fecal residue with an intersection over union (IoU) score of …
The EfficientNet-B0 model achieved a 97.32% accuracy (precision 97.66%, recall 97.06%, specificity 97.59%, F-score 97.35%) for discri …
Using machine learning methods and EEG to discriminate aircraft pilot cognitive workload during flight.
Taheri Gorji H, Wilson N, VanBree J, Hoffmann B, Petros T, Tavakolian K. Taheri Gorji H, et al. Sci Rep. 2023 Feb 13;13(1):2507. doi: 10.1038/s41598-023-29647-0. Sci Rep. 2023. PMID: 36782004 Free PMC article.
Then these features were applied to the stacking ensemble algorithm, and the highest results were achieved using the selected features by the RFE algorithm with an accuracy of 91.67% ( 0.11), a precision of 93.89% ( 0.09), recall of 91.67% ( 0.11), F-score of 91.22% ( 0.12 …
Then these features were applied to the stacking ensemble algorithm, and the highest results were achieved using the selected features by th …
Rapid Assessment of Fish Freshness for Multiple Supply-Chain Nodes Using Multi-Mode Spectroscopy and Fusion-Based Artificial Intelligence.
Kashani Zadeh H, Hardy M, Sueker M, Li Y, Tzouchas A, MacKinnon N, Bearman G, Haughey SA, Akhbardeh A, Baek I, Hwang C, Qin J, Tabb AM, Hellberg RS, Ismail S, Reza H, Vasefi F, Kim M, Tavakolian K, Elliott CT. Kashani Zadeh H, et al. Sensors (Basel). 2023 May 28;23(11):5149. doi: 10.3390/s23115149. Sensors (Basel). 2023. PMID: 37299875 Free PMC article.