Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: tit all "Machine Learning Techniques"
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521 - 530 von 607

	521	Predicting the antenna properties of helicon plasma thrusters using machine learning techniques Enthalten in Journal of electric propulsion Bd. 3, 5.3.2024, Nr. 1, date:12.2024: 1-24
	522	Prediction models for early diagnosis of actinomycotic osteomyelitis of the jaw using machine learning techniques: a preliminary study Enthalten in BMC oral health Bd. 22, 6.5.2022, Nr. 1, date:12.2022: 1-9
	523	Prediction of acute respiratory infections using machine learning techniques in Amhara Region, Ethiopia Enthalten in Scientific reports Bd. 14, 14.11.2024, Nr. 1, date:12.2024: 1-15
	524	Prediction of adverse pregnancy outcomes using machine learning techniques: evidence from analysis of electronic medical records data in Rwanda Enthalten in BMC medical informatics and decision making Bd. 25, 12.2.2025, Nr. 1, date:12.2025: 1-13
	525	Prediction of antimicrobial peptides toxicity based on their physico-chemical properties using machine learning techniques Enthalten in BMC bioinformatics Bd. 22, 10.11.2021, Nr. 1, date:12.2021: 1-11
	526	Prediction of atmospheric PM2.5 level by machine learning techniques in Isfahan, Iran Enthalten in Scientific reports Bd. 14, 24.1.2024, Nr. 1, date:12.2024: 1-12
	527	Prediction of buckling damage of steel equal angle structural members using hybrid machine learning techniques Enthalten in Scientific reports Bd. 15, 8.2.2025, Nr. 1, date:12.2025: 1-11
	528	Prediction of cellulose micro/nanofiber aspect ratio and yield of nanofibrillation using machine learning techniques Enthalten in Cellulose Bd. 29, 17.9.2022, Nr. 17, date:11.2022: 9143-9162
	529	Prediction of childbearing tendency in women on the verge of marriage using machine learning techniques Enthalten in Scientific reports Bd. 14, 6.9.2024, Nr. 1, date:12.2024: 1-10
	530	Prediction of compressive strength of fiber-reinforced concrete containing silica (SiO2) based on metaheuristic optimization algorithms and machine learning techniques Enthalten in Scientific reports Bd. 15, 4.6.2025, Nr. 1, date:12.2025: 1-16

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