Eduardo M. Mendiondo

14 papers C 3Journal 7Unranked 4
YearRankTypeTitle / Venue / Authors
2024 J jnl
Real-time Regulation of Detention Ponds via Feedback Control: Balancing Flood Mitigation and Water Quality.
CoRR
Marcus Nóbrega Gomes Jr., Ahmad F. Taha, Luis Miguel C. Rápallo, Eduardo M. Mendiondo, Marcio H. Giacomoni
2023 J jnl
Modeling unsteady and steady 1D hydrodynamics under different hydraulic conceptualizations: Model/Software development and case studies.
Environ. Model. Softw.
Marcus N. Gomes Júnior, Luis M. C. Rápalo, Paulo Tarso Sanches de Oliveira, Marcio H. Giacomoni, César A. F. do Lago, Eduardo M. Mendiondo
2022 J jnl
Flood Risk Mitigation and Valve Control in Stormwater Systems: State-Space Modeling, Control Algorithms, and Case Studies.
CoRR
Marcus N. Gomes Júnior, Marcio H. Giacomoni, Ahmad F. Taha, Eduardo M. Mendiondo
2022 — conf
Model Predictive Control for Stormwater Reservoirs: Investigating Effects of Climate Change and Urbanization.
CCTA
Marcus N. Gomes Júnior, Marcio H. Giacomoni, Ahmad F. Taha, Eduardo M. Mendiondo
2017 J jnl
Bridging the gap between decision-making and emerging big data sources: An application of a model-based framework to disaster management in Brazil.
Decis. Support Syst.
Flávio E. A. Horita, João Porto de Albuquerque, Victor Marchezini, Eduardo M. Mendiondo
2016 — conf
A qualitative analysis of the early warning decision-making process in disaster management.
ISCRAM
Flávio E. A. Horita, João Porto de Albuquerque, Victor Marchezini, Eduardo M. Mendiondo
2016 J jnl
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.
Neural Comput. Appl.
Gustavo Furquim, Gustavo Pessin, Bruno S. Faiçal, Eduardo M. Mendiondo, Jó Ueyama
2015 C conf
A Distributed Approach to Flood Prediction Using a WSN and ML: A Comparative Study of ML Techniques in a WSN Deployed in Brazil.
IDEAL
Gustavo Furquim, Gustavo Pessin, Pedro Henrique Gomes, Eduardo M. Mendiondo, Jó Ueyama
2015 J jnl
Development of a spatial decision support system for flood risk management in Brazil that combines volunteered geographic information with wireless sensor networks.
Comput. Geosci.
Flávio Eduardo Aoki Horita, João Porto de Albuquerque, Lívia Castro Degrossi, Eduardo M. Mendiondo, Jó Ueyama
2014 — conf
AGORA-GeoDash: A geosensor dashboard for real-time flood risk monitoring.
ISCRAM
Flávio E. A. Horita, Maria Clara Fava, Eduardo M. Mendiondo, Jairo Rotava, Vladimir C. B. de Souza, Jo Ueyama, João Porto de Albuquerque
2014 C conf
An Accurate Flood Forecasting Model Using Wireless Sensor Networks and Chaos Theory: A Case Study with Real WSN Deployment in Brazil.
EANN
Gustavo Furquim, Rodrigo Mello, Gustavo Pessin, Bruno S. Faiçal, Eduardo M. Mendiondo, Jó Ueyama
2014 — conf
Combining Wireless Sensor Networks and Machine Learning for Flash Flood Nowcasting.
AINA Workshops
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
2014 C conf
Flood Citizen Observatory: a crowdsourcing-based approach for flood risk management in Brazil.
SEKE
Lívia Castro Degrossi, João Porto de Albuquerque, Maria Clara Fava, Eduardo M. Mendiondo
2011 J jnl
A middleware platform to support river monitoring using wireless sensor networks.
J. Braz. Comput. Soc.
Danny Hughes, Jo Ueyama, Eduardo M. Mendiondo, Nelson Matthys, Wouter Horré, Sam Michiels, Christophe Huygens, Wouter Joosen, Ka Lok Man, Sheng-Uei Guan