( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
Statistical analysis of a spatially explicit hydrological forecasting model using remote sensing of the atmosphere.

, , и . GEOINFO, стр. 223-228. MCTIC/INPE, (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

Teodor B l nic

Leonardo Estupiñán

Leonardo Finocchi

Leonardo Ebeling

Leonardo Bianchi

 

Другие публикации лиц с тем же именем

Challenges and perspectives of innovative digital ecosystems designed to monitor and warn natural disasters in Brazil., , , , , , , , , и . MEDES, стр. 254-261. ACM, (2013)A convolutional LSTM neural network for precipitation nowcasting based on weather radar data., , , и . GEOINFO, стр. 384-388. MCTIC/INPE, (2022)Detecting Network Communities: An Application to Phylogenetic Analysis, , , , , , , , и . PLoS Comput Biol, 7 (5): e1001131+ (05.05.2011)A framework for modeling and simulating aedes aegypti and dengue fever dynamics., , , , , , , , , и 1 other автор(ы). WSC, стр. 1481-1492. IEEE/ACM, (2014)GIS4Graph: a tool for analyzing (geo)graphs applied to study efficiency in a street network., , , и . GEOINFO, стр. 246-251. MCTIC/INPE, (2017)Mobility database of the Metropolitan Region of Belo Horizonte, Brazil., и . GEOINFO, стр. 401-405. MCTIC/INPE, (2022)Time Series Forecasting of COVID-19 Cases in Brazil with GNN and Mobility Networks., , , , и . BRACIS (3), том 14197 из Lecture Notes in Computer Science, стр. 361-375. Springer, (2023)Correlations Between Epidemiological Time Series Forecasting and Influence Regions of Brazilian Cities., , , , и . GEOINFO, стр. 340-345. MCTI/INPE, (2023)Towards generating a traffic slowness geospatial dataset of São Paulo city., , и . GEOINFO, стр. 411-416. MCTIC/INPE, (2022)Rain-related Tweets in flooding days: a brief analysis on Tamanduateí river basin., , , , и . GEOINFO, стр. 378-383. MCTIC/INPE, (2022)