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32671 - 32680 von 33176

	32671	Use of CPT and other parameters for estimating soil unit weight using optimised machine learning models Enthalten in Earth science informatics Bd. 18, 31.1.2025, Nr. 2, date:2.2025: 1-16
	32672	Use of GIS and machine learning to predict disease in shrimp farmed on the east coast of the Mekong Delta, Vietnam Enthalten in Fisheries science Bd. 88, 13.1.2022, Nr. 1, date:1.2022: 1-13
	32673	Use of GIS, Statistics and Machine Learning for Groundwater Quality Management: Application to Nitrate Contamination Enthalten in Water resources Bd. 49, 19.5.2022, Nr. 3, date:6.2022: 503-514
	32674	Use of low-fidelity models with machine-learning error correction for well placement optimization Enthalten in Computational geosciences Bd. 26, 25.5.2022, Nr. 5, date:10.2022: 1189-1206
	32675	Use of machine learning algorithms for surface roughness prediction of printed parts in polyvinyl butyral via fused deposition modeling Enthalten in The international journal of advanced manufacturing technology Bd. 115, 25.5.2021, Nr. 7-8, date:8.2021: 2465-2475
	32676	Use of machine learning algorithms to classify binary protein sequences as highly-designable or poorly-designable Enthalten in BMC bioinformatics Bd. 9, 18.11.2008, Nr. 1, date:12.2008: 1-12
	32677	Use of machine learning algorithms to construct models of symptom burden cluster risk in breast cancer patients undergoing chemotherapy Enthalten in Supportive care in cancer Bd. 33, 13.2.2025, Nr. 3, date:3.2025: 1-10
	32678	Use of Machine Learning Approaches in Clinical Epidemiological Research of Diabetes Enthalten in Current diabetes reports Bd. 20, 3.12.2020, Nr. 12, date:12.2020: 1-19
	32679	Use of machine learning-based classification algorithms in the monitoring of Land Use and Land Cover practices in a hilly terrain Enthalten in Environmental monitoring and assessment Bd. 196, 5.12.2023, Nr. 1, date:1.2024: 1-21
	32680	Use of machine learning-based integration to develop a monocyte differentiation-related signature for improving prognosis in patients with sepsis Enthalten in Molecular medicine Bd. 29, 20.3.2023, Nr. 1, date:12.2023: 1-16

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