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Ergebnis der Suche nach: tit all "Elements of Machine Learning"
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	1	Interrogation of Ecotoxic Elements Distribution in Slag and Precipitated Calcite through a Machine Learning‐Based Approach Aided by Mass Spectrometry Enthalten in Advanced sustainable systems 01.03.2024. 14 S.
	2	Elements of Data Science, Machine Learning, and Artificial Intelligence Using R Cham : Springer International Publishing, 2023, 1st edition 2023
	3	Machine learning‐based predictions of buckling behaviour of cold‐formed steel structural elements Enthalten in ce/papers Bd. 6, 2023, Nr. 3-4: 843-847. 5 S.
	4	Machine Learning Enables Multi‐Degree‐of‐Freedom Reconfigurable Terahertz Holograms with Cascaded Diffractive Optical Elements Enthalten in Advanced optical materials 09.02.2023. 10 S.
	5	A machine learning and geostatistical hybrid method to improve spatial prediction accuracy of soil potentially toxic elements Enthalten in Stochastic environmental research and risk assessment 4.9.2022: 1-16
	6	Authentication of the Geographical Origin of Shandong Scallop Chlamys farreri Using Mineral Elements Combined with Multivariate Data Analysis and Machine Learning Algorithm Enthalten in Food analytical methods 21.6.2022: 1-10
	7	Prediction modeling of potentially toxic elements’ hydrogeopollution using an integrated Q-mode HCs and ANNs machine learning approach in SE Nigeria Enthalten in Environmental science and pollution research 27.3.2021: 1-19
	8	Elements of Machine Learning, Pat Langley Enthalten in Journal of logic, language and information Bd. 7, Nr. 1, date:1.1998: 103-105
	9	A comparison of machine learning methods to classify radioactive elements using prompt-gamma-ray neutron activation data Enthalten in Scientific reports Bd. 13, 19.6.2023, Nr. 1, date:12.2023: 1-15
	10	From 2D projections to the 3D rotation matrix: an attempt for finding a machine learning approach for the efficient evaluation of mechanical joining elements in X-ray computed tomography volume data Enthalten in SN applied sciences Bd. 5, 12.12.2022, Nr. 1, date:1.2023: 1-16

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