Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
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	191	Integrating life cycle assessment (LCA) and machine learning for sustainable designs: a case study on protective layers made of mineral-bonded fiber-reinforced composites Enthalten in The international journal of life cycle assessment 9.4.2025: 1-20
	192	A machine learning approach for type 2 diabetes diagnosis and prognosis using tailored heterogeneous feature subsets Enthalten in Medical & biological engineering & computing 8.4.2025: 1-20
	193	A machine learning based multi-scale finite element framework for nonlinear composite materials Enthalten in Engineering with computers 7.4.2025: 1-37
	194	Comment on: “A Machine Learning Approach to Concussion Risk Estimation Among Players Exhibiting Visible Signs in Professional Hockey” Enthalten in Sports medicine 7.4.2025: 1-2
	195	Tracking County-level Cooking Emissions and Their Drivers in China from 1990 to 2021 by Ensemble Machine Learning Enthalten in Earth system science data discussions 07.04.2025: 1-33. 33 S.
	196	A Novel Anomaly Forecasting in Time‐Series Data: Feedback Connection between Forecasting and Detecting Algorithms with Applications to Power Systems Enthalten in Advanced intelligent systems 06.04.2025. 19 S.
	197	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
	198	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
	199	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
	200	Banks’ stock price crash risk prediction with textual analysis: a machine learning approach Enthalten in Annals of operations research 3.4.2025: 1-23

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