Eduardo M. Mendiondo

According to our database, Eduardo M. Mendiondo authored at least 19 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Global optimization-based calibration algorithm for a 2D distributed hydrologic-hydrodynamic and water quality model.

Marcus Nóbrega Gomes Jr., Marcio H. Giacomoni, Fabricio Alonso Richmond Navarro, Eduardo Mario Mendiondo

Environ. Model. Softw., 2024

Real-time Regulation of Detention Ponds via Feedback Control: Balancing Flood Mitigation and Water Quality.

Marcus Nóbrega Gomes Jr., Ahmad F. Taha, Luis Miguel C. Rápallo, Eduardo M. Mendiondo, Marcio H. Giacomoni

CoRR, 2024

2023

Modeling unsteady and steady 1D hydrodynamics under different hydraulic conceptualizations: Model/Software development and case studies.

Marcus N. Gomes Júnior, Luis M. C. Rápalo, Paulo Tarso Sanches de Oliveira, Marcio H. Giacomoni, César A. F. do Lago, Eduardo M. Mendiondo

Environ. Model. Softw., September, 2023

2022

The effect of intra-urban mobility flows on the spatial heterogeneity of social media activity: investigating the response to rainfall events.

Sidgley Camargo de Andrade, João Porto de Albuquerque, Camilo Restrepo Estrada, René Westerholt, Carlos Augusto Morales Rodriguez, Eduardo Mario Mendiondo, Alexandre Cláudio Botazzo Delbem

Int. J. Geogr. Inf. Sci., 2022

Flood Risk Mitigation and Valve Control in Stormwater Systems: State-Space Modeling, Control Algorithms, and Case Studies.

Marcus N. Gomes Júnior, Marcio H. Giacomoni, Ahmad F. Taha, Eduardo M. Mendiondo

CoRR, 2022

Model Predictive Control for Stormwater Reservoirs: Investigating Effects of Climate Change and Urbanization.

Marcus N. Gomes Júnior, Marcio H. Giacomoni, Ahmad F. Taha, Eduardo M. Mendiondo

Proceedings of the IEEE Conference on Control Technology and Applications, 2022

2018

Geo-social media as a proxy for hydrometeorological data for streamflow estimation and to improve flood monitoring.

Camilo Restrepo Estrada, Sidgley Camargo de Andrade, Narumi Abe, Maria Clara Fava, Eduardo Mario Mendiondo, João Porto de Albuquerque

Comput. Geosci., 2018

2017

Bridging the gap between decision-making and emerging big data sources: An application of a model-based framework to disaster management in Brazil.

Flávio E. A. Horita, João Porto de Albuquerque, Victor Marchezini, Eduardo M. Mendiondo

Decis. Support Syst., 2017

Mining Rainfall Spatio-Temporal Patterns in Twitter: A Temporal Approach.

Sidgley Camargo de Andrade, Camilo Restrepo Estrada, Alexandre C. B. Delbem, Eduardo Mario Mendiondo, João Porto de Albuquerque

Proceedings of the Societal Geo-innovation, 2017

2016

Improving the accuracy of a flood forecasting model by means of machine learning and chaos theory - A case study involving a real wireless sensor network deployment in Brazil.

Gustavo Furquim, Gustavo Pessin, Bruno S. Faiçal, Eduardo M. Mendiondo, Jó Ueyama

Neural Comput. Appl., 2016

SDI-Node to interlink Information, essential for Disaster Preparedness and Management, with other Linked Open Data.

Werner Leyh, Maria Clara Fava, Narumi Abe, Camilo Restrepo Estrada, Flávio E. A. Horita, Eduardo Mario Mendiondo, João Porto de Albuquerque

Proceedings of the 13th Proceedings of the International Conference on Information Systems for Crisis Response and Management, 2016

A qualitative analysis of the early warning decision-making process in disaster management.

Flávio E. A. Horita, João Porto de Albuquerque, Victor Marchezini, Eduardo M. Mendiondo

Proceedings of the 13th Proceedings of the International Conference on Information Systems for Crisis Response and Management, 2016

2015

Development of a spatial decision support system for flood risk management in Brazil that combines volunteered geographic information with wireless sensor networks.

Flávio Eduardo Aoki Horita, João Porto de Albuquerque, Lívia Castro Degrossi, Eduardo M. Mendiondo, Jó Ueyama

Comput. Geosci., 2015

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 Pessin, Pedro Henrique Gomes, Eduardo M. Mendiondo, Jó Ueyama

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2015, 2015

2014

Flood Citizen Observatory: a crowdsourcing-based approach for flood risk management in Brazil.

Lívia Castro Degrossi, João Porto de Albuquerque, Maria Clara Fava, Eduardo M. Mendiondo

Proceedings of the 26th International Conference on Software Engineering and Knowledge Engineering, 2014

AGORA-GeoDash: A geosensor dashboard for real-time flood risk monitoring.

Flávio E. A. Horita, Maria Clara Fava, Eduardo M. Mendiondo, Jairo Rotava, Vladimir C. B. de Souza, Jo Ueyama, João Porto de Albuquerque

Proceedings of the 11th Proceedings of the International Conference on Information Systems for Crisis Response and Management, 2014

An Accurate Flood Forecasting Model Using Wireless Sensor Networks and Chaos Theory: A Case Study with Real WSN Deployment in Brazil.

Gustavo Furquim, Rodrigo Mello, Gustavo Pessin, Bruno S. Faiçal, Eduardo M. Mendiondo, Jó Ueyama

Proceedings of the Engineering Applications of Neural Networks, 2014

Combining Wireless Sensor Networks and Machine Learning for Flash Flood Nowcasting.

Gustavo Furquim, Filipe Neto, Gustavo Pessin, Jo Ueyama, João Porto de Albuquerque, Maria Clara Fava, Eduardo M. Mendiondo, Vladimir C. B. de Souza, Desislava C. Dimitrova, Torsten Braun

Proceedings of the 28th International Conference on Advanced Information Networking and Applications Workshops, 2014

2011

A middleware platform to support river monitoring using wireless sensor networks.

Danny Hughes, Jo Ueyama, Eduardo M. Mendiondo, Nelson Matthys, Wouter Horré, Sam Michiels, Christophe Huygens, Wouter Joosen, Ka Lok Man, Sheng-Uei Guan

J. Braz. Comput. Soc., 2011