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26391 |
Slope stability prediction of circular mode failure by machine learning models based on Bayesian Optimizer Enthalten in Journal of mountain science Bd. 22, 26.3.2025, Nr. 4, date:4.2025: 1482-1498
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26392 |
Small Angle Scattering Data Analysis Assisted by Machine Learning Methods Enthalten in MRS advances Bd. 5, 27.9.2020, Nr. 29-30, date:6.2020: 1577-1584
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26393 |
Small dataset machine-learning approach for efficient design space exploration: engineering ZnTe-based high-entropy alloys for water splitting Enthalten in npj computational materials Bd. 10, 30.7.2024, Nr. 1, date:12.2024: 1-7
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26394 |
Small-scale, large impact: utilizing machine learning to assess susceptibility to urban geological disasters—a case study of urban road collapses in Hangzhou Enthalten in Bulletin of engineering geology and the environment Bd. 83, 23.10.2024, Nr. 11, date:11.2024: 1-19
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26395 |
SMAP Sea Surface Salinity Improvement in the Arctic Region Using Machine Learning Approaches Enthalten in Moskovskij gosudarstvennyj universitet im. M.V. Lomonosova: Moscow University physics bulletin Bd. 78, 17.1.2024, Nr. 1, date:12.2023: S210-S216
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26396 |
Smart agriculture: utilizing machine learning and deep learning for drought stress identification in crops Enthalten in Scientific reports Bd. 14, 3.12.2024, Nr. 1, date:12.2024: 1-16
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26397 |
Smart contracts auditing and multi-classification using machine learning algorithms: an efficient vulnerability detection in ethereum blockchain Enthalten in Computing Bd. 106, 3.7.2024, Nr. 9, date:9.2024: 2971-3003
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26398 |
SMART-CYPS: an intelligent internet of things and machine learning powered crop yield prediction system for food security Enthalten in Discover Internet of things Bd. 4, 5.11.2024, Nr. 1, date:12.2024: 1-20
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26399 |
Smart dairy farming for predicting milk production yield based on deep machine learning Enthalten in International journal of information technology Bd. 16, 25.7.2024, Nr. 7, date:10.2024: 4181-4190
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26400 |
Smart Grids and Machine Learning in Chinese and Western Intellectual Property Law Enthalten in International review of intellectual property and competition law Bd. 52, 30.8.2021, Nr. 8, date:9.2021: 989-1019
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