Leonardo Bacelar Lima Santos in Caderno de resumos do XLIV Congresso Nacional de Matemática Aplicada e Computacional

Centro Nacional de Monitoramento e Alertas de Desastres Naturais

Leonardo Bacelar Lima Santos

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Papers 4

AI-Driven Short-Term Wind Speed Forecasting: Enhancing Accuracy and Interpretability
ROIG, Marcos M. ¹
AZORIN-MOLINA, Cesar ¹
SANTOS, Leonardo Bacelar Lima ²
MARENGO, José ²
¹ Universitat de València
² Cemaden, Centro Nacional de Monitoramento e Alertas de Desastres Naturais
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322531

ST03 - Scientific Computing

Abstract
Classifying streets susceptible to flooding using their attributes and network metrics
SOARES, Giovanni Guarnieri ¹
JUNIOR, Rogério Costa de Olivera ¹
CARVALHO, Luiz Max Fagundes de ²
SANTOS, Leonardo Bacelar Lima ³
¹ INPE, Instituto Nacional de Pesquisa Espacial
² Escola de Matemática Aplicada - Fundação Getúlio Vargas
³ Cemaden, Centro Nacional de Monitoramento e Alertas de Desastres Naturais
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322530

ST03 - Scientific Computing

Abstract
River Level Forecasting Using a Multilayer Perceptron: A Case Study in the Tamanduateí Basin
JUNIOR, Rogério Costa de Oliveira ¹
NEGRI, Rogério Galante ²
SOARES, Giovanni Guarnieri ¹
SANTOS, Leonardo Bacelar Lima ³
FILHO, Fernando Lima Saraiva ⁴
SILVA, Elton Vicente Escobar ³
¹ INPE, Instituto Nacional de Pesquisa Espacial
² UNESP
³ Cemaden, Centro Nacional de Monitoramento e Alertas de Desastres Naturais
⁴ Unifesp, Universidade Federal de São Paulo
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322383

ST09 - Computational Modeling

Abstract
Statistical and Comparative Analysis of Spectral Index Combinations for Burned Area Detection
LEITE, Cândida Caroline Souza de Santana ¹
SOARES, Giovanni Guarnieri ¹
ANDERSON, Liana Oighenstein ²
SANTOS, Leonardo Bacelar Lima ²
¹ INPE, National Institute for Space Research | (Instituto Nacional de Pesquisas Espaciais)
² Cemaden
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322389

ST01 - Applied Analysis

Abstract

CNMAC-2025

Book of abstracts of the XLIV National Congress of Applied and Computational Mathematics

Leonardo Bacelar Lima Santos

AI-Driven Short-Term Wind Speed Forecasting: Enhancing Accuracy and Interpretability

Classifying streets susceptible to flooding using their attributes and network metrics

River Level Forecasting Using a Multilayer Perceptron: A Case Study in the Tamanduateí Basin

Statistical and Comparative Analysis of Spectral Index Combinations for Burned Area Detection

Co-authors (13)

Luiz Max Fagundes de Carvalho

Giovanni Guarnieri Soares

Marcos M. Roig

Cesar Azorin-Molina

José Marengo

Rogério Costa de Olivera Junior

Cândida Caroline Souza de Santana Leite

Giovanni Guarnieri Soares

Liana Oighenstein Anderson

Rogério Costa de Oliveira Junior

Rogério Galante Negri

Fernando Lima Saraiva Filho

Elton Vicente Escobar Silva

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