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15981 |
Spatial entropy as an inductive bias for vision transformers
Enthalten in Machine learning Bd. 113, 17.7.2024, Nr. 9, date:9.2024: 6945-6975
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15982 |
Spatial Interpolation Using Machine Learning: From Patterns and Regularities to Block Models
Enthalten in Natural resources research Bd. 33, 25.11.2023, Nr. 1, date:2.2024: 129-161
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15983 |
SPATIAL INVENTORY OF SOLAR PHOTOVOLTAIC (PV) INSTALLATIONS USING REMOTE SENSING AND MACHINE LEARNING: CASE OF PAMPANGA PROVINCE, PHILIPPINES
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-4/W9-2024, 2024: 115-123. 9 S.
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15984 |
Spatial Mapping for Multi-Hazard Land Management in Sparsely Vegetated Watersheds Using Machine Learning Algorithms
Enthalten in Environmental earth sciences Bd. 83, 20.7.2024, Nr. 15, date:7.2024: 1-23
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15985 |
Spatial omics-based machine learning algorithms for the early detection of hepatocellular carcinoma
Enthalten in Communications medicine Bd. 4, 3.12.2024, Nr. 1, date:12.2024: 1-11
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15986 |
SPATIAL PREDICTION OF RECEIVED SIGNAL STRENGTH FOR CELLULAR COMMUNICATION USING SUPPORT VECTOR MACHINE AND K-NEAREST NEIGHBOURS REGRESSION
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-4/W9-2024, 2024: 291-297. 7 S.
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15987 |
Spatial recognition and semi-quantification of epigenetic events in pancreatic cancer subtypes with multiplexed molecular imaging and machine learning
Enthalten in Scientific reports Bd. 15, 22.2.2025, Nr. 1, date:12.2025: 1-17
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15988 |
Spatial statistical machine learning models to assess the relationship between development vulnerabilities and educational factors in children in Queensland, Australia
Enthalten in BMC public health Bd. 22, 30.11.2022, Nr. 1, date:12.2022: 1-12
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15989 |
SPATIALLY AWARE LANDSLIDE SUSCEPTIBILITY PREDICTION USING A GEOGRAPHICAL RANDOM FOREST APPROACH
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-4/W9-2024, 2024: 363-370. 8 S.
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15990 |
Spatiotemporal aerosol prediction model based on fusion of machine learning and spatial analysis
Enthalten in Asian journal of atmospheric environment Bd. 18, 21.3.2024, Nr. 1, date:12.2024: 1-15
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