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Ergebnis der Suche nach: "Machine Learning"
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Artikel 26491 Spectral organ fingerprints for machine learning-based intraoperative tissue classification with hyperspectral imaging in a porcine model
Enthalten in Scientific reports Bd. 12, 30.6.2022, Nr. 1, date:12.2022: 1-14
Online Ressource
Artikel 26492 Spectral proper orthogonal decomposition and machine learning algorithms for bearing fault diagnosis
Enthalten in Associação Brasileira de Engenharia e Ciências Mecânicas: Journal of the Brazilian Society of Mechanical Sciences and Engineering Bd. 45, 29.9.2023, Nr. 10, date:10.2023: 1-37
Online Ressource
Artikel 26493 Spectral sets and weak tiling
Enthalten in Sampling theory, signal processing, and data analysis Bd. 21, 13.10.2023, Nr. 2, date:12.2023: 1-21
Online Ressource
Artikel 26494 Speech emotion classification using semi-supervised LSTM
Enthalten in Advances in computational intelligence Bd. 3, 22.6.2023, Nr. 4, date:8.2023: 1-10
Online Ressource
Artikel 26495 Speech Emotion Recognition Using Machine Learning: A Comparative Analysis
Enthalten in SN Computer Science Bd. 5, 4.4.2024, Nr. 4, date:4.2024: 1-18
Online Ressource
Artikel 26496 Speech features-based Parkinson’s disease classification using combined SMOTE-ENN and binary machine learning
Enthalten in Health and Technology Bd. 14, 15.1.2024, Nr. 2, date:3.2024: 393-406
Online Ressource
Artikel 26497 Speech processing for early Parkinson’s disease diagnosis: machine learning and deep learning-based approach
Enthalten in Social network analysis and mining Bd. 12, 4.7.2022, Nr. 1, date:12.2022: 1-12
Online Ressource
Artikel 26498 Speech production under stress for machine learning: multimodal dataset of 79 cases and 8 signals
Enthalten in Scientific data Bd. 11, 12.11.2024, Nr. 1, date:12.2024: 1-9
Online Ressource
Artikel 26499 Speed prediction and nearby road impact analysis using machine learning and ensemble of explainable AI techniques
Enthalten in Scientific reports Bd. 14, 24.10.2024, Nr. 1, date:12.2024: 1-17
Online Ressource
Artikel 26500 Sperm quality of rats exposed to difenoconazole using classical parameters and surface-enhanced Raman scattering: classification performance by machine learning methods
Enthalten in Environmental science and pollution research Bd. 26, 7.11.2019, Nr. 34, date:12.2019: 35253-35265
Online Ressource


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