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Ergebnis der Suche nach: "Machine Learning"
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371 - 380 von 27335
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Artikel 371 An interpretable radiomics-based machine learning model for predicting reverse left ventricular remodeling in STEMI patients using late gadolinium enhancement of myocardial scar
Enthalten in European radiology 3.4.2025: 1-11
Online Ressource
Artikel 372 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 373 Combining Vis-NIR-SWIR Spectroscopy and Machine Learning to Predict Soil Available Copper and Zinc in Southern Brazil Vineyards
Enthalten in Journal of soil science and plant nutrition 3.4.2025: 1-15
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Artikel 374 Machine learning approach in fused filament fabrication for flexural characteristics of polylactic acid reinforced with carbon fibres
Enthalten in Progress in additive manufacturing 3.4.2025: 1-20
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Artikel 375 Response to Comment on: “A Machine Learning Approach to Concussion Risk Estimation Among Players Exhibiting Visible Signs in Professional Hockey”
Enthalten in Sports medicine 3.4.2025: 1-3
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Artikel 376 Stereochemistry at the Single‐Molecule Level: From Monitoring to Regulation
Enthalten in Angewandte Chemie / International edition 02.04.2025. 23 S.
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Artikel 377 Stereochemistry at the Single‐Molecule Level: From Monitoring to Regulation
Enthalten in Angewandte Chemie 02.04.2025. 23 S.
Online Ressource
Artikel 378 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 379 CCCNN-IMSA: an optimized cervical concentrated convolutional neural network utilizing improved morphological segmentation algorithm for processing of cervical images
Enthalten in International journal of information technology 2.4.2025: 1-7
Online Ressource
Artikel 380 Development of a machine learning model to predict changes in neuroimaging profiles among acute ischemic stroke patients following delayed transfer for endovascular thrombectomy
Enthalten in Neuroradiology 2.4.2025: 1-10
Online Ressource


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