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"Machine Learning"
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36631 - 36640 von 38912
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36631
Remote sensing with machine learning for multi-decadal surface water monitoring in Ethiopia
Enthalten in Scientific reports Bd. 15, 11.4.2025, Nr. 1, date:12.2025: 1-15
36632
Renal calculus composition assessment from radiographic images using machine learning technique
Enthalten in Research on biomedical engineering Bd. 41, 20.3.2025, Nr. 2, date:6.2025: 1-12
36633
Renewable energy, forest cover, export diversification, and ecological footprint: a machine learning application in moderating eco-innovations on agriculture in the BRICS-T economies
Enthalten in Environmental science and pollution research Bd. 30, 23.6.2023, Nr. 35, date:7.2023: 83771-83791
36634
Repair Technology of Hydrotreating Reactor Based on a Robotic Automated Surfacing Complex with Machine Learning
Enthalten in Journal of machinery manufacture and reliability Bd. 53, 21.12.2024, Nr. 1, date:12.2024: S102-S106
36635
Replica controlled sensor enabled architecture for management of electronic health records
Enthalten in International journal of information technology Bd. 15, 7.9.2023, Nr. 7, date:10.2023: 3643-3653
36636
Reply to Discussion on “A Machine Learning‑Based Method for Predicting End‑Bearing Capacity of Rock‑Socketed Shafts” [Rock Mech Rock Eng 55, 1743–1757]
Enthalten in Rock mechanics and rock engineering Bd. 56, 15.5.2023, Nr. 8, date:8.2023: 6169-6171
36637
Reply to Letter to the Editor on “Not all biases are bad: equitable and inequitable biases in machine learning and radiology”
Enthalten in Insights into imaging Bd. 12, 3.11.2021, Nr. 1, date:12.2021: 1-2
36638
Reply to: comment on “Early cancer detection by serum biomolecular fingerprinting spectroscopy with machine learning”
Enthalten in Light Bd. 14, 20.1.2025, Nr. 1, date:12.2025: 1-13
36639
Reply to: Comment on “Machine learning enhanced analysis of EBSD data for texture representation”
Enthalten in npj computational materials Bd. 11, 17.3.2025, Nr. 1, date:12.2025: 1-3
36640
Reply to: Letter to Editor Regarding Article “A Machine Learning Approach to Predict Postoperative Pancreatic Fistula after Pancreaticoduodenectomy Using Only Preoperatively Known Data” by Yang, Yanfei et al
Enthalten in Annals of surgical oncology Bd. 31, 3.4.2024, Nr. 7, date:7.2024: 4711-4712
36631 - 36640 von 38912
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