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35611 - 35620 von 36234
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Artikel 35611 Two-stage machine learning models for bowel lesions characterisation using self-propelled capsule dynamics
Enthalten in Nonlinear dynamics Bd. 111, 8.9.2023, Nr. 20, date:10.2023: 19387-19410
Online Ressource
Artikel 35612 Two-tier network anomaly detection model: a machine learning approach
Enthalten in Journal of intelligent information systems Bd. 48, 19.11.2015, Nr. 1, date:2.2017: 61-74
Online Ressource
Artikel 35613 Type 2 diabetes and susceptibility to COVID-19: a machine learning analysis
Enthalten in BMC endocrine disorders Bd. 24, 21.10.2024, Nr. 1, date:12.2024: 1-9
Online Ressource
Artikel 35614 Type2 Diabetes Classification from Short Photoplethysmogram Signal Using Multiple Domain Features and Machine Learning Techniques
Enthalten in Research on biomedical engineering Bd. 39, 22.6.2023, Nr. 3, date:9.2023: 541-560
Online Ressource
Artikel 35615 UAV-BASED RIVER PLASTIC DETECTION WITH A MULTISPECTRAL CAMERA
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLIII-B3-2022, 2022: 855-861. 7 S.
Online Ressource
Artikel 35616 UAV imaging for spectral characterization of Coffee Leaf Miner (<i>Leucoptera coffeella</i>) infestation in the Cerrado Mineiro region
Enthalten in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. X-3-2024, 2024: 285-291. 7 S.
Online Ressource
Artikel 35617 Ubiquitous Health Technology Management (uHTM)
Enthalten in Polytechnica Bd. 4, 26.4.2021, Nr. 1, date:4.2021: 47-57
Online Ressource
Artikel 35618 UbiSite: incorporating two-layered machine learning method with substrate motifs to predict ubiquitin-conjugation site on lysines
Enthalten in BMC systems biology Bd. 10, 11.1.2016, Nr. 1, date:12.2016: 49-61
Online Ressource
Artikel 35619 UCoDe: unified community detection with graph convolutional networks
Enthalten in Machine learning Bd. 112, 20.9.2023, Nr. 12, date:12.2023: 5057-5080
Online Ressource
Artikel 35620 UCred: fusion of machine learning and deep learning methods for user credibility on social media
Enthalten in Social network analysis and mining Bd. 12, 21.5.2022, Nr. 1, date:12.2022: 1-10
Online Ressource


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