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Ergebnis der Suche nach:
"Machine Learning"
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27081 - 27090 von 32529
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27081
Methodology of the quantitative assessment of the moisture content of saline brick walls in historic buildings using machine learning
Enthalten in Archives of civil and mechanical engineering Bd. 23, 12.5.2023, Nr. 3, date:8.2023: 1-15
27082
Methods and applications of machine learning in computational design of optoelectronic semiconductors
Enthalten in Science China materials Bd. 67, 19.3.2024, Nr. 4, date:4.2024: 1042-1081
27083
Methods of artificial intelligence for acoustic emission diagnostics of fracture stages (a review)
Enthalten in Materials science Bd. 60, 23.4.2025, Nr. 3, date:11.2024: 255-264
27084
Methylation Data of Parents in the Prediction of a Preterm Birth: A Machine Learning Approach
Enthalten in SN Computer Science Bd. 5, 10.6.2024, Nr. 5, date:6.2024: 1-8
27085
Meticulous research for design of plasmonics sensors for cancer detection and food contaminants analysis via machine learning and artificial intelligence
Enthalten in Scientific reports Bd. 13, 15.9.2023, Nr. 1, date:12.2023: 1-9
27086
Mg-Fe-LDH for Aquatic Selenium Treatment: Adsorption, RSM Modeling, and Machine Learning Neural Network
Enthalten in Water, air & soil pollution Bd. 234, 28.6.2023, Nr. 7, date:7.2023: 1-15
27087
Mi-Go: tool which uses YouTube as data source for evaluating general-purpose speech recognition machine learning models
Enthalten in European Association for Speech, Signal and Image Processing: EURASIP Journal on audio, speech, and music processing Bd. 2024, 1.5.2024, Nr. 1, date:12.2024: 1-17
27088
MiCML: a causal machine learning cloud platform for the analysis of treatment effects using microbiome profiles
Enthalten in BioData Mining Bd. 18, 30.1.2025, Nr. 1, date:12.2025: 1-18
27089
Micro Frontend Based Performance Improvement and Prediction for Microservices Using Machine Learning
Enthalten in Journal of grid computing Bd. 22, 16.4.2024, Nr. 2, date:6.2024: 1-26
27090
Micro-mechanical damage diagnosis methodologies based on machine learning and deep learning models
Enthalten in Zhe jiang da xue: Journal of Zhejiang University / Science A / Applied physics and engineering Bd. 22, 27.8.2021, Nr. 8, date:8.2021: 585-608
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