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Ergebnis der Suche nach: "Machine Learning"
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Artikel 271 Empowering nanophotonic applications via artificial intelligence: pathways, progress, and prospects
Enthalten in Nanophotonics Bd. 14, 2025, Nr. 4: 429-447. 19 S.
Online Ressource
Artikel 272 A light shade of green: German stock index listed companies’ inclusion of sustainability communication on X and Instagram
Enthalten in Studies in communication and media Bd. 14, 2025, Nr. 3: 456-470
Online Ressource
Artikel 273 A free, open-source method for automated mapping of quantitative mineralogy from energy-dispersive X-ray spectroscopy scans of rock thin sections
Enthalten in Geoscientific instrumentation, methods and data systems Bd. 14, 2025, Nr. 2: 193-209. 17 S.
Online Ressource
Artikel 274 A novel intelligent photonic design method enabled by metamaterials and k-nearest neighbor
Enthalten in Nanophotonics Bd. 14, 2025, Nr. 2: 169-181. 13 S.
Online Ressource
Artikel 275 Efficient hardware implementation of interpretable machine learning based on deep neural network representations for sensor data processing
Enthalten in Journal of sensors and sensor systems Bd. 14, 2025, Nr. 2: 169-185. 17 S.
Online Ressource
Artikel 276 Domain shifts in industrial condition monitoring: a comparative analysis of automated machine learning models
Enthalten in Journal of sensors and sensor systems Bd. 14, 2025, Nr. 2: 119-132. 14 S.
Online Ressource
Artikel 277 A titanium oxide- and silver-based hybrid nanofluid flow between two Riga walls that converge and diverge through a machine-learning approach
Enthalten in Nanotechnology reviews Bd. 14, 2025, Nr. 1. 16 S.
Online Ressource
Artikel 278 Activation energy and Coriolis force impact on three-dimensional dusty nanofluid flow containing gyrotactic microorganisms: Machine learning and numerical approach
Enthalten in Nanotechnology reviews Bd. 14, 2025, Nr. 1. 23 S.
Online Ressource
Artikel 279 Advanced sentiment analysis in online shopping: Implementing LSTM models analyzing E-commerce user sentiments
Enthalten in Nonlinear engineering Bd. 14, 2025, Nr. 1. 14 S.
Online Ressource
Artikel 280 Enterprise power emission reduction technology based on the LSTM–SVM model
Enthalten in Nonlinear engineering Bd. 14, 2025, Nr. 1. 14 S.
Online Ressource


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