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Ergebnis der Suche nach: "Machine Learning"
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15921 - 15930 von 16943

	15921	Seeing is Learning in High Dimensions: The Synergy Between Dimensionality Reduction and Machine Learning Enthalten in SN Computer Science Bd. 5, 21.2.2024, Nr. 3, date:3.2024: 1-25
	15922	Segmentation and Metallographic Evaluation of Aluminium Slurry Coatings Using Machine Learning Techniques Enthalten in High temperature corrosion of materials Bd. 101, 26.10.2024, Nr. 6, date:12.2024: 1497-1512
	15923	Segmentation characteristics of deep, low-frequency tremors in Shikoku, Japan using machine learning approaches Enthalten in Earth, planets and space Bd. 75, 8.3.2023, Nr. 1, date:12.2023: 1-19
	15924	SEGMENTATION OF INDUSTRIAL BURNER FLAMES: A COMPARATIVE STUDY FROM TRADITIONAL IMAGE PROCESSING TO MACHINE AND DEEP LEARNING Enthalten in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. X-1/W1-2023, 2023: 953-960. 8 S.
	15925	Segmentation of mature human oocytes provides interpretable and improved blastocyst outcome predictions by a machine learning model Enthalten in Scientific reports Bd. 14, 8.5.2024, Nr. 1, date:12.2024: 1-14
	15926	Segmenting functional tissue units across human organs using community-driven development of generalizable machine learning algorithms Enthalten in Nature Communications Bd. 14, 3.8.2023, Nr. 1, date:12.2023: 1-11
	15927	Seismic characterization of carbonate stringers using machine learning techniques: an example from the western flank of South Oman Salt Basin Enthalten in Scientific reports Bd. 14, 28.12.2024, Nr. 1, date:12.2024: 1-18
	15928	Seismic optimization of buckling-restrained brace mid-rise frames by metaheuristics and machine learning surrogative models Enthalten in Structural and multidisciplinary optimization Bd. 68, 3.4.2025, Nr. 3, date:3.2025: 1-22
	15929	SeizyML: An Application for Semi-Automated Seizure Detection Using Interpretable Machine Learning Models Enthalten in Neuroinformatics Bd. 23, 3.3.2025, Nr. 2, date:4.2025: 1-17
	15930	Selected proceedings of Machine Learning in Systems Biology: MLSB 2016 Enthalten in BMC bioinformatics Bd. 17, 13.12.2016, Nr. 16, date:12.2016: 51-52

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