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Ergebnis der Suche nach: "Machine Learning"
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Artikel 27111 Mass estimation method for intelligent vehicles based on fusion of machine learning and vehicle dynamic model
Enthalten in Autonomous intelligent systems Bd. 2, 11.3.2022, Nr. 1, date:12.2022: 1-10
Online Ressource
Artikel 27112 Mass wasting susceptibility assessment of snow avalanches using machine learning models
Enthalten in Scientific reports Bd. 10, 27.10.2020, Nr. 1, date:12.2020: 1-13
Online Ressource
Artikel 27113 Massive metagenomic data analysis using abundance-based machine learning
Enthalten in Biology direct Bd. 14, 1.8.2019, Nr. 1, date:12.2019: 1-13
Online Ressource
Artikel 27114 Material-agnostic machine learning approach enables high relative density in powder bed fusion products
Enthalten in Nature Communications Bd. 14, 17.10.2023, Nr. 1, date:12.2023: 1-12
Online Ressource
Artikel 27115 Material Image Segmentation with the Machine Learning Method and Complex Network Method
Enthalten in MRS advances Bd. 4, 14.1.2019, Nr. 19, date:4.2019: 1119-1124
Online Ressource
Artikel 27116 Material removal predictions in the robot glass polishing process using machine learning
Enthalten in SN applied sciences Bd. 4, 21.12.2021, Nr. 1, date:1.2022: 1-14
Online Ressource
Artikel 27117 Materials descriptors of machine learning to boost development of lithium-ion batteries
Enthalten in Nano Convergence Bd. 11, 26.2.2024, Nr. 1, date:12.2024: 1-15
Online Ressource
Artikel 27118 Materials Informatics Driven Designing Mg Alloys for Biodegradable Short-Term Implants Using Machine Learning
Enthalten in JOM Bd. 77, 21.10.2024, Nr. 1, date:1.2025: 20-38
Online Ressource
Artikel 27119 Materials property mapping from atomic scale imaging via machine learning based sub-pixel processing
Enthalten in npj computational materials Bd. 8, 15.9.2022, Nr. 1, date:12.2022: 1-9
Online Ressource
Artikel 27120 Materials science in the artificial intelligence age: high-throughput library generation, machine learning, and a pathway from correlations to the underpinning physics
Enthalten in Materials Research Society: MRS communications Bd. 9, 20.9.2019, Nr. 3, date:9.2019: 821-838
Online Ressource


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