Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: tit all "Machine Learning Techniques"
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	61	Unstained Blood Smear Analysis: A Review of Rule‐Based, Machine Learning, and Deep Learning Techniques Enthalten in Journal of biophotonics 30.06.2025. 22 S.
	62	Utilizing Machine Learning Algorithms and Regression Techniques to Develop Pavement Performance Indices for Dry Freeze Climate Regions Enthalten in Iranian journal of science and technology / Transactions of civil engineering 24.6.2025: 1-21
	63	PARP1 inhibitors discovery: innovative screening strategies incorporating machine learning and fragment replacement techniques Enthalten in Molecular diversity 11.6.2025: 1-18
	64	Material Characterization of Aluminum Castings Using Machine Learning Techniques Enthalten in International journal of metalcasting 10.6.2025: 1-6
	65	Satellite imagery for land cover classification using machine learning techniques Enthalten in Multimedia tools and applications 9.6.2025: 1-26
	66	Prediction of Mechanical Properties of Additively Manufactured Parts Using Machine Learning Techniques Enthalten in Institution of Engineers, India. Karnataka State Centre: Journal of the Institution of Engineers (India) / Series D 2.6.2025: 1-18
	67	A comprehensive analysis of landslide susceptibility in Iyidere Basin (NE, Turkey) using machine learning techniques and statistical bivariate methods Enthalten in Natural hazards 27.5.2025: 1-37
	68	Predictive modeling of peak friction stir processing temperature for Mg $$_4$$ 4 Y $$_3$$ 3 NdZr/Al/Ti/Sn hybrid composites using data-augmented machine learning techniques Enthalten in International journal on interactive design and manufacturing 23.5.2025: 1-19
	69	Comprehensive Review on the Use of Machine Learning Techniques Applied to the Ultrasound Data for the Characterisation of Porosity across Carbon Fibre Reinforced Polymer Layers Enthalten in Applied composite materials 21.5.2025: 1-25
	70	Comparison of Machine Learning Techniques for Mineral Resource Categorization in a Copper Deposit in Peru Enthalten in Natural resources research 18.5.2025: 1-19