Alexandre Sorokine
Biographic Data
| ID | 6746484 |
|---|---|
| NAME | Alexandre Sorokine |
| GIVEN NAMES | Alexandre |
| FAMILY NAME | Sorokine |
| SIGNATURE | SOROKINE A |
| AFFILIATIONS | Oak Ridge National Laboratory |
| ORCID | 0000-0001-7993-1534 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
Evaluation of Digital Nautical Chart data for confirmation and expansion of GeoNames data
Here, this work examines how Digital Nautical Chart (DNC) data may contribute to the evolution and refinement of GeoNames data for near-shore features. GeoNames features are point data with one or more possible place names. DNC Earth Cover Text (ECRText) objects are map labels positioned nearby their real word counterpart. ECRText feature map position strikes a compromise between association with real features and cartographic readability. This w…
Near real time monitoring and forecasting for Covid-19 situational awareness
In the opening months of the pandemic, the need for situational awareness was urgent. Forecasting models such as the Susceptible-Infectious-Recovered (SIR) model were hampered by limited testing data and key information on mobility, contact tracing, and local policy variations would not be consistently available for months. New case counts from sources like John Hopkins University and the NY Times were systematically reliable. Using these data, w…
Evaluation of Digital Nautical Chart data for confirmation and expansion of GeoNames data
Here, this work examines how Digital Nautical Chart (DNC) data may contribute to the evolution and refinement of GeoNames data for near-shore features. GeoNames features are point data with one or more possible place names. DNC Earth Cover Text (ECRText) objects are map labels positioned nearby their real word counterpart. ECRText feature map position strikes a compromise between association with real features and cartographic readability. This w…
Near real time monitoring and forecasting for Covid-19 situational awareness
In the opening months of the pandemic, the need for situational awareness was urgent. Forecasting models such as the Susceptible-Infectious-Recovered (SIR) model were hampered by limited testing data and key information on mobility, contact tracing, and local policy variations would not be consistently available for months. New case counts from sources like John Hopkins University and the NY Times were systematically reliable. Using these data, w…
Evaluation of Digital Nautical Chart data for confirmation and expansion of GeoNames data
Here, this work examines how Digital Nautical Chart (DNC) data may contribute to the evolution and refinement of GeoNames data for near-shore features. GeoNames features are point data with one or more possible place names. DNC Earth Cover Text (ECRText) objects are map labels positioned nearby their real word counterpart. ECRText feature map position strikes a compromise between association with real features and cartographic readability. This w…
Cartography (2 works) · Computer Science (2 works) · Geography (2 works) · Mathematics (2 works) · Statistics (2 works) · Anomaly Detection Techniques and Applications (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Bayesian probability (1 work) · Chart (1 work)