|
1341 |
Spatial and temporal trend analysis of rainfall in Nagaland (India) using machine learning techniques
Enthalten in Journal of earth system science Bd. 133, 28.5.2024, Nr. 2, date:6.2024: 1-15
|
|
|
|
1342 |
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
|
|
|
|
1343 |
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
|
|
|
|
1344 |
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
|
|
|
|
1345 |
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
|
|
|
|
1346 |
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
|
|
|
|
1347 |
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
|
|
|
|
1348 |
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
|
|
|
|
1349 |
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
|
|
|
|
1350 |
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
|
|
Administration
