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"Machine Learning"
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27181 - 27190 von 32654
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27181
Methodology for contamination detection and reduction in fermentation processes using machine learning
Enthalten in Bioprocess and biosystems engineering Bd. 48, 26.6.2025, Nr. 9, date:9.2025: 1547-1563
27182
Methodology For Extracting Poplar Planted Fields From Very High-Resolution Imagery Using Object-Based Image Analysis and Feature Selection Strategy
Enthalten in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. X-5-2024, 2024: 259-265. 7 S.
27183
Methodology for the Characterisation of Linear Rail Transport Infrastructures with the Machine Learning Technique and Their Application in a Hyperloop Network
Enthalten in Urban rail transit Bd. 7, 20.5.2021, Nr. 3, date:9.2021: 159-176
27184
Methodology of Mediametric Information Analysis with the Use of Machine Learning Algorithms
Enthalten in Automatic control and computer sciences Bd. 55, 1.3.2022, Nr. 8, date:12.2021: 970-977
27185
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
27186
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
27187
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
27188
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
27189
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
27190
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
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