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Results 1 - 10 of 14  for USP Intelectual Production

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Refined by: subject: Enchentes Urbanas remove
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1
Modelo de classificação multivariável para identificação de enchentes: um estudo empírico no sistema de monitoramento de rios e-noe
Modelo de classificação multivariável para identificação de enchentes: um estudo empírico no sistema de monitoramento de rios e-noe
Material Type:
Master's Thesis 		Add to e-Shelf

Modelo de classificação multivariável para identificação de enchentes: um estudo empírico no sistema de monitoramento de rios e-noe

Brito, Lucas Augusto Vieira

Biblioteca Digital de Teses e Dissertações da USP; Universidade de São Paulo; Instituto de Ciências Matemáticas e de Computação 2019-05-17

Online access. The library also has physical copies.

2
Explorando uma abordagem de Fusão Multimodal para auxílio a Gestão de Desastres: um estudo de caso com tweets e dados contextuais
Explorando uma abordagem de Fusão Multimodal para auxílio a Gestão de Desastres: um estudo de caso com tweets e dados contextuais
Material Type:
Master's Thesis 		Add to e-Shelf

Explorando uma abordagem de Fusão Multimodal para auxílio a Gestão de Desastres: um estudo de caso com tweets e dados contextuais

Costa, Thiago Aparecido Gonçalves Da

Biblioteca Digital de Teses e Dissertações da USP; Universidade de São Paulo; Instituto de Ciências Matemáticas e de Computação 2021-08-25

Online access

3
Tecnologia desenvolvida na USP alerta moradores sobre enchentes em cidade catarinense. [Entrevista à Raquel Vieira]
Tecnologia desenvolvida na USP alerta moradores sobre enchentes em cidade catarinense. [Entrevista à Raquel Vieira]
Material Type:
Newspaper Article 		Add to e-Shelf

Tecnologia desenvolvida na USP alerta moradores sobre enchentes em cidade catarinense. [Entrevista à Raquel Vieira]

Fábio Alexandrini Jó Ueyama; Almir Bolduan

Jornal da USP São Paulo : USP p. 1-3, jul. 2019

São Paulo 2019

Online access. The library also has physical copies.

4
Providing a greater precision of situational awareness of urban floods through multimodal fusion
Providing a greater precision of situational awareness of urban floods through multimodal fusion
Material Type:
Article 		Add to e-Shelf

Providing a greater precision of situational awareness of urban floods through multimodal fusion

Thiago Aparecido Gonçalves da Costa Rodolfo Ipolito Meneguette; Jó Ueyama

Expert Systems With Applications Oxford : Elsevier v. 188, p. 1-28, 2022

Oxford 2022

Available at ICMC - Inst. Ciên. Mat. Computação    (PROD-3046154 )(GetIt)

5
A river flooding detection system based on deep learning and computer vision
A river flooding detection system based on deep learning and computer vision
Material Type:
Article 		Add to e-Shelf

A river flooding detection system based on deep learning and computer vision

Francisco Erivaldo Fernandes Junior Luis Gustavo Nonato; Jó Ueyama

Multimedia Tools and Applications New York : Springer v. 81, p. 40231-40251, 2022

New York 2022

Available at ICMC - Inst. Ciên. Mat. Computação    (PROD-3073161 )(GetIt)

6
A distributed approach to flood prediction using a WSN and ML a comparative study of ml techniques in a WSN deployed in Brazil
A distributed approach to flood prediction using a WSN and ML a comparative study of ml techniques in a WSN deployed in Brazil
Material Type:
Conference Paper 		Add to e-Shelf

A distributed approach to flood prediction using a WSN and ML a comparative study of ml techniques in a WSN deployed in Brazil

Gustavo Furquim (Gustavo Antonio Furquim) Gustavo Pessin; Pedro H Gomes (Pedro Henrique Gomes); Eduardo Mario Mendiondo; Jó Ueyama; International Conference Intelligent Data Engineering and Automated Learning – IDEAL (16. 2015 Wroclaw, Poland

Lecture Notes in Computer Science Cham : Springer, 2015

Cham Springer 2015

Available at ICMC - Inst. Ciên. Mat. Computação    (PROD 2803570 )(GetIt)

7
Memory-based pruning of deep neural networks for IoT devices applied to flood detection
Memory-based pruning of deep neural networks for IoT devices applied to flood detection
Material Type:
Article 		Add to e-Shelf

Memory-based pruning of deep neural networks for IoT devices applied to flood detection

Francisco Erivaldo Fernandes Junior Luis Gustavo Nonato; Caetano Mazzoni Ranieri; Jó Ueyama

Sensors Basel : MDPI v. 21, n. 22, p. 1-18, 2021

Basel 2021

Available at ICMC - Inst. Ciên. Mat. Computação    (PROD-3049890 )(GetIt)

8
FLORAS urban flash-flood prediction using a multivariate model
FLORAS urban flash-flood prediction using a multivariate model
Material Type:
Article 		Add to e-Shelf

FLORAS urban flash-flood prediction using a multivariate model

Lucas Augusto Vieira Brito Rodolfo Ipolito Meneguette; Robson E. De Grande; Caetano Mazzoni Ranieri; Jó Ueyama

Applied Intelligence New York : Springer v. 53, p. 16107-16125, 2023

New York 2023

Available at ICMC - Inst. Ciên. Mat. Computação    (PROD-3115191 )(GetIt)

9
Artificial neural networks applied to time series for flood prediction
Artificial neural networks applied to time series for flood prediction
Material Type:
Conference Paper 		Add to e-Shelf

Artificial neural networks applied to time series for flood prediction

Laleska A. F Mesquita Caetano Mazzoni Ranieri; Jó Ueyama; Encontro Nacional de Inteligência Artificial e Computacional - ENIAC (20. 2023 Belo Horizonte)

Anais Porto Alegre : SBC, 2023

Porto Alegre SBC 2023

Available at ICMC - Inst. Ciên. Mat. Computação    (PROD-3173445 )(GetIt)

10
A deep learning workflow enhanced with optical flow fields for flood risk estimation
A deep learning workflow enhanced with optical flow fields for flood risk estimation
Material Type:
Article 		Add to e-Shelf

A deep learning workflow enhanced with optical flow fields for flood risk estimation

Caetano Mazzoni Ranieri Thais Luiza Donega e Souza; Marislei Nishijima; Bhaskar Krishnamachari; Jó Ueyama

Applied Intelligence New York : Springer v. 54, p. 5536-5557, 2024

New York 2024

Available at ICMC - Inst. Ciên. Mat. Computação    (PROD-3192928 )(GetIt)

Results 1 - 10 of 14  for USP Intelectual Production

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