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26941 - 26950 von 31584

	26941	OBJECT BASED APPROACH FOR IMAGE FEATURE EXTRACTION FROM UAV DATA Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-1/W2-2023, 2023: 1907-1913. 7 S.
	26942	Object detection using deep ensemble model for enhancing security towards sustainable agriculture Enthalten in International journal of information technology Bd. 15, 23.6.2023, Nr. 6, date:8.2023: 3113-3126
	26943	Objective approach to diagnosing attention deficit hyperactivity disorder by using pixel subtraction and machine learning classification of outpatient consultation videos Enthalten in Journal of neurodevelopmental disorders Bd. 16, 24.12.2024, Nr. 1, date:12.2024: 1-13
	26944	Objective Classification of mTBI Using Machine Learning on a Combination of Frontopolar Electroencephalography Measurements and Self-reported Symptoms Enthalten in Sports medicine - open Bd. 5, 18.4.2019, Nr. 1, date:12.2019: 1-8
	26945	Objective risk stratification of prostate cancer using machine learning and radiomics applied to multiparametric magnetic resonance images Enthalten in Scientific reports Bd. 9, 7.2.2019, Nr. 1, date:12.2019: 1-10
	26946	Observation of dendrite formation at Li metal-electrolyte interface by a machine-learning enhanced constant potential framework Enthalten in Nature Communications Bd. 16, 11.8.2025, Nr. 1, date:12.2025: 1-13
	26947	Observing flow of He II with unsupervised machine learning Enthalten in Scientific reports Bd. 12, 27.11.2022, Nr. 1, date:12.2022: 1-9
	26948	Obstructing Classification via Projection Enthalten in Computing in Geometry and Topology Bd. 1, 08.10.2022, Nr. 1
	26949	Oceanic sediment accumulation rates predicted via machine learning algorithm: towards sediment characterization on a global scale Enthalten in Geo-marine letters Bd. 40, 29.8.2020, Nr. 5, date:10.2020: 755-763
	26950	OCR-MRD: performance analysis of different optical character recognition engines for medical report digitization Enthalten in International journal of information technology Bd. 16, 24.11.2023, Nr. 1, date:1.2024: 447-455

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