Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
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35421 - 35430 von 36044

	35421	Two neuroanatomical subtypes of males with autism spectrum disorder revealed using semi-supervised machine learning Enthalten in Molecular autism Bd. 13, 23.2.2022, Nr. 1, date:12.2022: 1-14
	35422	Two party key exchange protocol based on duo circulant matrices for the IoT environment Enthalten in International journal of information technology Bd. 16, 4.6.2024, Nr. 6, date:8.2024: 3585-3596
	35423	Two phase feature-ranking for new soil dataset for Coxiella burnetii persistence and classification using machine learning models Enthalten in Scientific reports Bd. 13, 2.1.2023, Nr. 1, date:12.2023: 1-15
	35424	Two-phase flow regime identification based on the liquid-phase velocity information and machine learning Enthalten in Experiments in fluids Bd. 61, 14.9.2020, Nr. 10, date:10.2020: 1-16
	35425	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
	35426	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
	35427	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
	35428	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
	35429	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.
	35430	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.