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 (AINA Workshops, 2014)

Exploiting Evolution on UAV Control Rules for Spraying Pesticides on Crop Fields. - Bruno S. Faiçal; Gustavo Pessin; Geraldo P. R. Filho; Gustavo Furquim; André C. P. L. F. de Carvalho; Jó Ueyama (EANN, 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 (EANN, 2014)

Fine-Tuning of UAV Control Rules for Spraying Pesticides on Crop Fields. - Bruno S. Faiçal; Gustavo Pessin; Geraldo P. R. Filho; André C. P. L. F. de Carvalho; Gustavo Furquim; Jo Ueyama (ICTAI, 2014)

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 (IDEAL, 2015)

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)

How to Improve Fault Tolerance in Disaster Predictions: A Case Study about Flash Floods Using IoT, ML and Real Data. - Gustavo Furquim; Geraldo P. R. Filho; Roozbeh Jalali; Gustavo Pessin; Richard W. Pazzi; Jó Ueyama (Sensors, 2018)