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1681 |
Spatial and temporal variations in river water quality of the Middle Ganga Basin using unsupervised machine learning techniques
Enthalten in Environmental monitoring and assessment Bd. 192, 3.11.2020, Nr. 12, date:12.2020: 1-18
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1682 |
Spatial susceptibility to flash floods through comparative assessment of bivariate statistical and machine learning techniques in the upper Camiña Basin, northern Chile
Enthalten in Natural hazards Bd. 121, 29.6.2025, Nr. 15, date:8.2025: 17363-17389
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1683 |
Spatio-temporal rainfall variability over different meteorological subdivisions in India: analysis using different machine learning techniques
Enthalten in Theoretical and applied climatology Bd. 145, 20.5.2021, Nr. 1-2, date:7.2021: 673-686
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1684 |
Spatiotemporal analysis and predicting rainfall trends in a tropical monsoon-dominated country using MAKESENS and machine learning techniques
Enthalten in Scientific reports Bd. 13, 25.8.2023, Nr. 1, date:12.2023: 1-26
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1685 |
Spatiotemporal analysis of urban expansion, land use dynamics, and thermal characteristics in a rapidly growing megacity using remote sensing and machine learning techniques
Enthalten in Theoretical and applied climatology Bd. 156, 10.1.2025, Nr. 2, date:2.2025: 1-23
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1686 |
Speed prediction and nearby road impact analysis using machine learning and ensemble of explainable AI techniques
Enthalten in Scientific reports Bd. 14, 24.10.2024, Nr. 1, date:12.2024: 1-17
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1687 |
Splicing sites prediction of human genome using machine learning techniques
Enthalten in Multimedia tools and applications Bd. 80, 20.5.2021, Nr. 20, date:8.2021: 30439-30460
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1688 |
Splitting tensile strength prediction of Metakaolin concrete using machine learning techniques
Enthalten in Scientific reports Bd. 13, 16.11.2023, Nr. 1, date:12.2023: 1-11
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1689 |
Streamflow Data Infilling Using Machine Learning Techniques with Gamma Test
Enthalten in Water resources management Bd. 38, 29.12.2023, Nr. 2, date:1.2024: 701-716
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1690 |
Streamlining the monitoring and assessment of irrigation groundwater quality using machine learning techniques
Enthalten in Environmental earth sciences Bd. 84, 3.3.2025, Nr. 5, date:3.2025: 1-19
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