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26041 |
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
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26042 |
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
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26043 |
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
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26044 |
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
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26045 |
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
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26046 |
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
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26047 |
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
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26048 |
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
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26049 |
Reply to: Machine learning-driven virtual biopsy system may increase organ discards at aggressive kidney transplant centers
Enthalten in Nature Communications Bd. 15, 29.11.2024, Nr. 1, date:12.2024: 1-2
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26050 |
Reply to: Machine-learning prediction of hosts of novel coronaviruses requires caution as it may affect wildlife conservation
Enthalten in Nature Communications Bd. 13, 12.9.2022, Nr. 1, date:12.2022: 1-3
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