Found: 11
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Combining deep learning and fluorescence imaging to automatically identify fecal contamination on meat carcasses.
- Published in:
- Scientific Reports, 2022, v. 12, n. 1, p. 1, doi. 10.1038/s41598-022-06379-1
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- Article
Deep learning and multiwavelength fluorescence imaging for cleanliness assessment and disinfection in Food Services.
- Published in:
- Frontiers in Sensors (2673-5067), 2022, p. 1, doi. 10.3389/fsens.2022.977770
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- Article
Application of image processing and transfer learning for the detection of rust disease.
- Published in:
- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-31942-9
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- Article
Using machine learning methods and EEG to discriminate aircraft pilot cognitive workload during flight.
- Published in:
- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-29647-0
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- Article
A Deep Learning approach for Diagnosis of Mild Cognitive Impairment Based on MRI Images.
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- Brain Sciences (2076-3425), 2019, v. 9, n. 9, p. 217, doi. 10.3390/brainsci9090217
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- Article
The art gallery maze: a novel tool to assess human navigational abilities.
- Published in:
- Cognitive Processing, 2021, v. 22, n. 3, p. 501, doi. 10.1007/s10339-021-01022-9
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- Article
Handheld Multispectral Fluorescence Imaging System to Detect and Disinfect Surface Contamination.
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- Sensors (14248220), 2021, v. 21, n. 21, p. 7222, doi. 10.3390/s21217222
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- Article
Federated Learning for Clients' Data Privacy Assurance in Food Service Industry.
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- Applied Sciences (2076-3417), 2023, v. 13, n. 16, p. 9330, doi. 10.3390/app13169330
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- Article
Water Level Forecasting Using Deep Learning Time-Series Analysis: A Case Study of Red River of the North.
- Published in:
- Water (20734441), 2022, v. 14, n. 12, p. N.PAG, doi. 10.3390/w14121971
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- Article
Medical Imaging Applications of Federated Learning.
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- Diagnostics (2075-4418), 2023, v. 13, n. 19, p. 3140, doi. 10.3390/diagnostics13193140
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- Article
Differentiation cervical epithelial cells by image processing techniques.
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- Journal of Mazandaran University of Medical Sciences (JMUMS), 2014, v. 23, p. 58
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- Article