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Ergebnis der Suche nach: "Machine Learning"
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Artikel 281 Anisotropic Deformation in Refractory Multi-principal Element Alloys: Insights from Atomistic Simulations and Machine Learning
Enthalten in High entropy alloys & materials 4.4.2025: 1-12
Online Ressource
Artikel 282 Leveraging machine learning with dynamic 18F-FDG PET/CT: integrating metabolic and flow features for lung cancer differential diagnosis
Enthalten in European journal of nuclear medicine and molecular imaging 4.4.2025: 1-13
Online Ressource
Artikel 283 A dynamic surface roughness prediction system based on machine learning for the 3D-printed carbon-fiber-reinforced-polymer (CFRP) turning
Enthalten in Journal of intelligent manufacturing 3.4.2025: 1-27
Online Ressource
Artikel 284 Banks’ stock price crash risk prediction with textual analysis: a machine learning approach
Enthalten in Annals of operations research 3.4.2025: 1-23
Online Ressource
Artikel 285 Aging, mitochondrial dysfunction, and cerebral microhemorrhages: a preclinical evaluation of SS-31 (elamipretide) and development of a high-throughput machine learning-driven imaging pipeline for cerebromicrovascular protection therapeutic screening
Enthalten in GeroScience 2.4.2025: 1-17
Online Ressource
Artikel 286 Multi-Source Remote Sensing for large-scale biomass estimation in mediterranean olive orchards using GEDI LiDAR and Machine Learning
Enthalten in EGUsphere 02.04.2025: 1-27. 27 S.
Online Ressource
Artikel 287 From Single Sensors to Sensor Arrays: Leveraging Supervised Machine Learning to Read Multiple Soft Capacitive Sensors with a Single Pair of Wires
Enthalten in Advanced intelligent systems 01.04.2025. 11 S.
Online Ressource
Artikel 288 Transforming Healthcare: Intelligent Wearable Sensors Empowered by Smart Materials and Artificial Intelligence
Enthalten in Advanced materials 01.04.2025. 36 S.
Online Ressource
Artikel 289 Classification of Sea-Ice Concentration from Ship-Board S-Band Radar Images Using Open-Source Machine Learning Tools
Enthalten in EGUsphere 01.04.2025: 1-18. 18 S.
Online Ressource
Artikel 290 Data-Driven Prediction of Casting Defects in Magnesium High-Pressure Die Casting Using Machine Learning
Enthalten in International journal of metalcasting 1.4.2025: 1-20
Online Ressource


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