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Predicting individual perceptual scent impression from imbalanced dataset using mass spectrum of odorant molecules.
- Published in:
- Scientific Reports, 2022, v. 12, n. 1, p. 1, doi. 10.1038/s41598-022-07802-3
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Extraction of sensing data for desired scent impressions using mass spectra of odorant molecules.
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- Scientific Reports, 2022, v. 12, n. 1, p. 1, doi. 10.1038/s41598-022-20388-0
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Four-layer ConvNet to facial emotion recognition with minimal epochs and the significance of data diversity.
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- Scientific Reports, 2022, v. 12, n. 1, p. 1, doi. 10.1038/s41598-022-11173-0
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- Article
Machine learning and deep learning-based approach in smart healthcare: Recent advances, applications, challenges and opportunities.
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- AIMS Public Health, 2024, v. 11, n. 1, p. 58, doi. 10.3934/publichealth.2024004
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- Article
Computer vision-based hybrid efficient convolution for isolated dynamic sign language recognition.
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- Neural Computing & Applications, 2024, v. 36, n. 32, p. 19951, doi. 10.1007/s00521-024-10258-3
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- Article
Comparing molecular representations, e-nose signals, and other featurization, for learning to smell aroma molecules.
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- PLoS ONE, 2023, v. 18, n. 8, p. 1, doi. 10.1371/journal.pone.0289881
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- Article
Predicting human odor perception represented by continuous values from mass spectra of essential oils resembling chemical mixtures.
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- PLoS ONE, 2020, v. 15, n. 6, p. 1, doi. 10.1371/journal.pone.0234688
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- Article