Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
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34661 - 34670 von 36444

	34661	Security enhanced random grid visual cryptography scheme using master share and embedding method Enthalten in International journal of information technology Bd. 15, 17.8.2023, Nr. 7, date:10.2023: 3949-3955
	34662	Security enhancements in M-health using distributed ledger technology based digital locker system Enthalten in International journal of information technology Bd. 16, 18.7.2024, Nr. 7, date:10.2024: 4253-4271
	34663	Security Threats and Defensive Approaches in Machine Learning System Under Big Data Environment Enthalten in Wireless personal communications Bd. 117, 13.2.2021, Nr. 4, date:4.2021: 3505-3525
	34664	Sediment load prediction in Johor river: deep learning versus machine learning models Enthalten in Applied water science Bd. 13, 13.2.2023, Nr. 3, date:3.2023: 1-13
	34665	SEEING AMONG FOLIAGE WITH LIDAR AND MACHINE LEARNING: TOWARDS A TRANSFERABLE ARCHAEOLOGICAL PIPELINE Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVI-2/W1-2022, 2022: 365-372. 8 S.
	34666	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
	34667	Segmentation and classification of brain tumors using fuzzy 3D highlighting and machine learning Enthalten in Journal of cancer research and clinical oncology Bd. 149, 11.5.2023, Nr. 11, date:9.2023: 9025-9041
	34668	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
	34669	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
	34670	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.