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Ergebnis der Suche nach:
"Machine Learning"
im Bestand: Gesamter Bestand
43311 - 43320 von 43748
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Name (Z-A)
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Interne ID-Nr. absteigend
43311
Using machine learning and a data-driven approach to identify the small fatigue crack driving force in polycrystalline materials
Enthalten in npj computational materials Bd. 4, 16.7.2018, Nr. 1, date:12.2018: 1-10
43312
Using machine learning and deep learning algorithms for downtime minimization in manufacturing systems: an early failure detection diagnostic service
Enthalten in The international journal of advanced manufacturing technology Bd. 128, 23.8.2023, Nr. 9-10, date:10.2023: 3857-3883
43313
Using machine learning and DeepLabCut in animal behavior
Enthalten in Acta ethologica Bd. 25, 16.7.2022, Nr. 3, date:10.2022: 125-133
43314
Using Machine Learning and Multi-Element Analysis to Evaluate the Authenticity of Organic and Conventional Vegetables
Enthalten in Food analytical methods Bd. 12, 25.7.2019, Nr. 11, date:11.2019: 2542-2554
43315
Using machine learning and natural language processing in triage for prediction of clinical disposition in the emergency department
Enthalten in BMC emergency medicine Bd. 24, 18.12.2024, Nr. 1, date:12.2024: 1-18
43316
Using machine learning and perceptual data to predict student satisfaction of eLearning systems in Ugandan institutions of higher education
Enthalten in Discover education Bd. 4, 6.10.2025, Nr. 1, date:12.2025: 1-29
43317
Using machine learning approach for screening metastatic biomarkers in colorectal cancer and predictive modeling with experimental validation
Enthalten in Scientific reports Bd. 13, 8.11.2023, Nr. 1, date:12.2023: 1-17
43318
Using machine learning approach to investigate the impact of missing sensors on fault classification of multistage gear box
Enthalten in Associação Brasileira de Engenharia e Ciências Mecânicas: Journal of the Brazilian Society of Mechanical Sciences and Engineering Bd. 47, 22.2.2025, Nr. 3, date:3.2025: 1-14
43319
Using machine learning approaches for predicting the compressive strength of ultra-high-performance concrete with SHAP analysis
Enthalten in Asian journal of civil engineering Bd. 26, 18.11.2024, Nr. 1, date:1.2025: 373-388
43320
Using machine learning approaches to develop a fast and easy-to-perform diagnostic tool for patients with light chain amyloidosis: a retrospective real-world study
Enthalten in Annals of hematology Bd. 103, 31.10.2024, Nr. 12, date:12.2024: 5781-5798
43311 - 43320 von 43748
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