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27151 |
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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27152 |
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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27153 |
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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27154 |
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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27155 |
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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27156 |
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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27157 |
Smart Farming: An Integrated Platform for Crop and Fertilizer Prediction using Machine Learning and Orange Data Mining
Enthalten in SN Computer Science Bd. 6, 30.5.2025, Nr. 5, date:6.2025: 1-16
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27158 |
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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27159 |
Smart housing: integrating machine learning in sustainable urban planning, interior design, and development
Enthalten in Asian journal of civil engineering Bd. 26, 24.10.2024, Nr. 1, date:1.2025: 59-71
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27160 |
Smart Machining Process Using Machine Learning: A Review and Perspective on Machining Industry
Enthalten in International journal of precision engineering and manufacturing-green technology Bd. 5, 23.8.2018, Nr. 4, date:8.2018: 555-568
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