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26631 |
Remote sensing and machine learning algorithms to predict soil salinity in southern Kazakhstan
Enthalten in Discover sustainability Bd. 5, 28.10.2024, Nr. 1, date:12.2024: 1-14
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26632 |
Remote sensing and machine learning applications for aboveground biomass estimation in agroforestry systems: a review
Enthalten in Agroforestry systems Bd. 97, 10.5.2023, Nr. 6, date:8.2023: 1097-1111
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26633 |
Remote sensing based forest cover classification using machine learning
Enthalten in Scientific reports Bd. 14, 2.1.2024, Nr. 1, date:12.2024: 1-17
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26634 |
Remote sensing drought factor integration based on machine learning can improve the estimation of drought in arid and semi-arid regions
Enthalten in Theoretical and applied climatology Bd. 151, 6.1.2023, Nr. 3-4, date:2.2023: 1753-1770
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26635 |
Remote sensing estimation of aboveground biomass of different forest types in Xinjiang based on machine learning
Enthalten in Scientific reports Bd. 15, 20.2.2025, Nr. 1, date:12.2025: 1-15
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26636 |
Remote sensing for land cover mapping across Victoria, Australia – a machine learning application
Enthalten in Scientific data Bd. 12, 3.4.2025, Nr. 1, date:12.2025: 1-12
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26637 |
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
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26638 |
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
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26639 |
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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26640 |
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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