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ORCIDEduardo M. Mendiondo
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2020 – today
- 2024
[j8]Marcus Nóbrega Gomes Jr.
, Marcio H. Giacomoni, Fabricio Alonso Richmond Navarro, Eduardo Mario Mendiondo:
Global optimization-based calibration algorithm for a 2D distributed hydrologic-hydrodynamic and water quality model. Environ. Model. Softw. 179: 106128 (2024)- [i2]Marcus Nóbrega Gomes Jr., Ahmad F. Taha, Luis Miguel C. Rápallo, Eduardo M. Mendiondo, Marcio H. Giacomoni:
Real-time Regulation of Detention Ponds via Feedback Control: Balancing Flood Mitigation and Water Quality. CoRR abs/2403.04675 (2024) - 2023
- [j7]Marcus N. Gomes Júnior, Luis M. C. Rápalo, Paulo Tarso Sanches de Oliveira, Marcio H. Giacomoni, César A. F. do Lago, Eduardo M. Mendiondo:
Modeling unsteady and steady 1D hydrodynamics under different hydraulic conceptualizations: Model/Software development and case studies. Environ. Model. Softw. 167: 105733 (2023) - 2022
- [j6]Sidgley Camargo de Andrade, João Porto de Albuquerque, Camilo Restrepo Estrada, René Westerholt, Carlos Augusto Morales Rodriguez, Eduardo Mario Mendiondo, Alexandre Cláudio Botazzo Delbem:
The effect of intra-urban mobility flows on the spatial heterogeneity of social media activity: investigating the response to rainfall events. Int. J. Geogr. Inf. Sci. 36(6): 1140-1165 (2022) - [c9]Marcus N. Gomes Júnior, Marcio H. Giacomoni, Ahmad F. Taha, Eduardo M. Mendiondo:
Model Predictive Control for Stormwater Reservoirs: Investigating Effects of Climate Change and Urbanization. CCTA 2022: 691-698 - [i1]Marcus N. Gomes Júnior, Marcio H. Giacomoni, Ahmad F. Taha, Eduardo M. Mendiondo:
Flood Risk Mitigation and Valve Control in Stormwater Systems: State-Space Modeling, Control Algorithms, and Case Studies. CoRR abs/2205.01017 (2022)
2010 – 2019
- 2018
- [j5]Camilo Restrepo Estrada, Sidgley Camargo de Andrade, Narumi Abe, Maria Clara Fava, Eduardo Mario Mendiondo, João Porto de Albuquerque:
Geo-social media as a proxy for hydrometeorological data for streamflow estimation and to improve flood monitoring. Comput. Geosci. 111: 148-158 (2018) - 2017
- [j4]Flávio E. A. Horita, João Porto de Albuquerque, Victor Marchezini, Eduardo M. Mendiondo:
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. 97: 12-22 (2017) - [c8]Sidgley Camargo de Andrade, Camilo Restrepo Estrada, Alexandre C. B. Delbem, Eduardo Mario Mendiondo, João Porto de Albuquerque:
Mining Rainfall Spatio-Temporal Patterns in Twitter: A Temporal Approach. AGILE Conf. 2017: 19-37 - 2016
- [j3]Gustavo Furquim, Gustavo Pessin, Bruno S. Faiçal, Eduardo M. Mendiondo, Jó Ueyama:
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. 27(5): 1129-1141 (2016) - [c7]Flávio E. A. Horita, João Porto de Albuquerque, Victor Marchezini, Eduardo M. Mendiondo:
A qualitative analysis of the early warning decision-making process in disaster management. ISCRAM 2016 - [c6]Werner Leyh, Maria Clara Fava, Narumi Abe, Camilo Restrepo Estrada, Flávio E. A. Horita, Eduardo Mario Mendiondo, João Porto de Albuquerque:
SDI-Node to interlink Information, essential for Disaster Preparedness and Management, with other Linked Open Data. ISCRAM 2016 - 2015
- [j2]Flávio Eduardo Aoki Horita, João Porto de Albuquerque, Lívia Castro Degrossi, Eduardo M. Mendiondo, Jó Ueyama:
Development of a spatial decision support system for flood risk management in Brazil that combines volunteered geographic information with wireless sensor networks. Comput. Geosci. 80: 84-94 (2015) - [c5]Gustavo Furquim, Gustavo Pessin, Pedro Henrique Gomes, Eduardo M. Mendiondo, Jó Ueyama:
A Distributed Approach to Flood Prediction Using a WSN and ML: A Comparative Study of ML Techniques in a WSN Deployed in Brazil. IDEAL 2015: 485-492 - 2014
- [c4]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:
Combining Wireless Sensor Networks and Machine Learning for Flash Flood Nowcasting. AINA Workshops 2014: 67-72 - [c3]Gustavo Furquim, Rodrigo Mello, Gustavo Pessin, Bruno S. Faiçal, Eduardo M. Mendiondo, Jó Ueyama:
An Accurate Flood Forecasting Model Using Wireless Sensor Networks and Chaos Theory: A Case Study with Real WSN Deployment in Brazil. EANN 2014: 92-102 - [c2]Flávio E. A. Horita, Maria Clara Fava, Eduardo M. Mendiondo, Jairo Rotava, Vladimir C. B. de Souza, Jo Ueyama, João Porto de Albuquerque:
AGORA-GeoDash: A geosensor dashboard for real-time flood risk monitoring. ISCRAM 2014 - [c1]Lívia Castro Degrossi, João Porto de Albuquerque, Maria Clara Fava, Eduardo M. Mendiondo:
Flood Citizen Observatory: a crowdsourcing-based approach for flood risk management in Brazil. SEKE 2014: 570-575 - 2011
- [j1]Danny Hughes, Jo Ueyama, Eduardo M. Mendiondo, Nelson Matthys, Wouter Horré, Sam Michiels, Christophe Huygens, Wouter Joosen, Ka Lok Man, Sheng-Uei Guan:
A middleware platform to support river monitoring using wireless sensor networks. J. Braz. Comput. Soc. 17(2): 85-102 (2011)
Coauthor Index
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