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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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