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Ergebnis der Suche nach: tit all "Machine Learning Techniques"
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	21	Comparison of machine learning techniques to predict students’ CGPA by using course learning outcomes datasets Enthalten in Human-intelligent systems integration 28.4.2025: 1-11
	22	Predicting Financial Distress Using Machine Learning Techniques Enthalten in Asia Pacific financial markets 24.4.2025: 1-23
	23	Innovative Machine Learning, Isotopic, and Hydrogeochemical Techniques for Groundwater Analysis in Arid Landscapes in Egypt’s Eastern Desert Enthalten in Earth systems and environment 21.4.2025: 1-25
	24	Microstructural Analysis of Ceramic Materials Through Machine Learning Techniques: A Benchmarking Interdisciplinary Review for Ceramic Material Characterization Enthalten in Institution of Engineers, India. Karnataka State Centre: Journal of the Institution of Engineers (India) / Series D 20.4.2025: 1-19
	25	Training and testing of machine learning techniques to aid in prediction of patients requiring adaptive treatments for head and neck radiotherapy Enthalten in Physical and engineering sciences in medicine 15.4.2025: 1-11
	26	Prediction of Urban Surface Water Quality Scenarios Using Water Quality Index (WQI), Multivariate Techniques, and Machine Learning (ML) Models in Water Resources, in Baitarani River Basin, Odisha: Potential Benefits and Associated Challenges Enthalten in Earth systems and environment 9.4.2025: 1-37
	27	Seismic Event Detection and First Arrival Picking Using Continuous Wavelet Transform and Machine Learning Techniques Enthalten in The Arabian journal for science and engineering 5.4.2025: 1-14
	28	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
	29	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
	30	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

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