Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
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	43491	Vorteile der KI-gestützten geburtshilflichen Überwachung Enthalten in Die Gynäkologie Bd. 55, 9.9.2022, Nr. 10, date:10.2022: 740-745
	43492	Vorwort der Herausgeber Enthalten in Wirtschafts- und sozialstatistisches Archiv Bd. 18, 18.10.2024, Nr. 2, date:6.2024: 127-130
	43493	VOTE versus ACLTE: Vergleich zweier Schnarchgeräuschklassifikationen mit Methoden des maschinellen Lernens Enthalten in HNO Bd. 67, 12.6.2019, Nr. 9, date:9.2019: 670-678
	43494	Vowel segmentation impact on machine learning classification for chronic obstructive pulmonary disease Enthalten in Scientific reports Bd. 15, 22.3.2025, Nr. 1, date:12.2025: 1-14
	43495	VulnerGAN: a backdoor attack through vulnerability amplification against machine learning-based network intrusion detection systems Enthalten in Science China / Information sciences Bd. 65, 23.6.2022, Nr. 7, date:7.2022: 1-19
	43496	W-NLM: a proficient EMG denoising technique Enthalten in International journal of information technology Bd. 15, 9.6.2023, Nr. 5, date:6.2023: 2517-2527
	43497	Wader hunt optimization based UNET model for change detection in satellite images Enthalten in International journal of information technology Bd. 15, 4.3.2023, Nr. 3, date:3.2023: 1611-1623
	43498	Walking stability in patients with benign paroxysmal positional vertigo: an objective assessment using wearable accelerometers and machine learning Enthalten in Journal of neuroEngineering and rehabilitation Bd. 18, 31.3.2021, Nr. 1, date:12.2021: 1-9
	43499	WARM with automated weight fitment model for targeted application in unweighted databases Enthalten in International journal of information technology Bd. 16, 29.4.2024, Nr. 5, date:6.2024: 3073-3084
	43500	“War” or “Peace”: an study of Chinese mainstream media and weibo discussions in the context of the Israel-Palestine conflict — based on machine learning approach Enthalten in International communication of Chinese culture Bd. 12, 21.6.2025, Nr. 3, date:9.2025: 453-480

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