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Ergebnis der Suche nach: "Machine Learning"
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Artikel 1101 Could this be next for corpus linguistics? Methods of semi-automatic data annotation with contextualized word embeddings
Enthalten in Linguistics vanguard Bd. 10, 2024, Nr. 1: 587-602. 16 S.
Online Ressource
Artikel 1102 Reference soil groups map of Ethiopia based on legacy data and machine learning-technique: EthioSoilGrids 1.0
Enthalten in Soil Bd. 10, 2024, Nr. 1: 189-209. 21 S.
Online Ressource
Artikel 1103 Variational Autoencoder feature clustering for tissue classification in robotic palpation
Enthalten in Current directions in biomedical engineering Bd. 10, 2024, Nr. 1: 89-92. 4 S.
Online Ressource
Artikel 1104 Subset selection for intracranial aneurysms for training simulations
Enthalten in Current directions in biomedical engineering Bd. 10, 2024, Nr. 1: 73-76. 4 S.
Online Ressource
Artikel 1105 Best practices for machine learning strategies aimed at process parameter development in powder bed fusion additive manufacturing
Enthalten in Journal of intelligent manufacturing 1.10.2024: 1-41
Online Ressource
Artikel 1106 Towards Frugal Industrial AI: a framework for the development of scalable and robust machine learning models in the shop floor
Enthalten in The international journal of advanced manufacturing technology 1.10.2024: 1-23
Online Ressource
Artikel 1107 A Review on Recent Trends of Bioinspired Soft Robotics: Actuators, Control Methods, Materials Selection, Sensors, Challenges, and Future Prospects
Enthalten in Advanced intelligent systems 30.09.2024. 21 S.
Online Ressource
Artikel 1108 Stochastic Multiscale Modeling of Electrical Conductivity of Carbon Nanotube Polymer Nanocomposites: An Interpretable Machine Learning Approach
Enthalten in Advanced engineering materials 30.09.2024. 13 S.
Online Ressource
Artikel 1109 Efficient private SCO for heavy-tailed data via averaged clipping
Enthalten in Machine learning 30.9.2024: 1-46
Online Ressource
Artikel 1110 Graphene Microelectrode Arrays, 4D Structured Illumination Microscopy, and a Machine Learning Spike Sorting Algorithm Permit the Analysis of Ultrastructural Neuronal Changes During Neuronal Signaling in a Model of Niemann–Pick Disease Type C
Enthalten in Advanced science 28.09.2024. 13 S.
Online Ressource


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