Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: tit all "Machine Learning Techniques"
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	11	Advancements in Machine Learning Techniques for Hand Gesture-Based Sign Language Recognition: A Comprehensive Review Enthalten in Archives of computational methods in engineering 1.4.2025: 1-38
	12	Predicting material properties in AlSi12Mg alloy additive manufacturing using KNN and ANN machine learning techniques Enthalten in International journal on interactive design and manufacturing 24.3.2025: 1-11
	13	Reconstruction of well-logging data using unsupervised machine learning-based outlier detection techniques (UML-ODTs) under adverse drilling conditions Enthalten in Applied geophysics 20.3.2025: 1-17
	14	A Comparative Study on the Predictive Ability of Machine Learning Techniques for Spatial Mapping of Soil Properties in Indian Himalayan Region Enthalten in Journal of agricultural, biological, and environmental statistics 19.3.2025: 1-21
	15	State-of-the-Art Machine Learning and Deep Learning Techniques for Parking Space Classification: A Systematic Review Enthalten in Archives of computational methods in engineering 18.3.2025: 1-33
	16	Development of a machine-learning-based performance prediction model for indirect regenerative evaporative cooling applications supported by experimental and numerical techniques Enthalten in Journal of thermal analysis and calorimetry 13.3.2025: 1-24
	17	Understanding unnecessary stops and police use of force in NYPD Stop, Question, and Frisk with machine learning techniques Enthalten in Artificial intelligence and law 9.3.2025: 1-37
	18	Object detection on space-based optical images leveraging machine learning techniques Enthalten in Neural computing & applications 6.3.2025: 1-25
	19	A Comprehensive Study on Additive Manufacturing Techniques, Machine Learning Integration, and Internet of Things-Driven Sustainability Opportunities Enthalten in Journal of materials engineering and performance 5.3.2025: 1-68
	20	Comments on “Land subsidence prediction in coal mining using machine learning models and optimization techniques” Enthalten in Environmental science and pollution research 23.2.2025: 1

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