| Driver behavior profiling: An investigation with different smartphone sensors and machine learning J Ferreira, E Carvalho, BV Ferreira, C de Souza, Y Suhara, A Pentland, ... PLoS one 12 (4), e0174959, 2017 | 310 | 2017 |
| Intelligent personal assistants: A systematic literature review A de Barcelos Silva, MM Gomes, CA Da Costa, R da Rosa Righi, ... Expert Systems with Applications 147, 113193, 2020 | 281 | 2020 |
| An adaptive approach for UAV-based pesticide spraying in dynamic environments BS Faiçal, H Freitas, PH Gomes, LY Mano, G Pessin, AC de Carvalho, ... Computers and Electronics in Agriculture 138, 210-223, 2017 | 277 | 2017 |
| The use of unmanned aerial vehicles and wireless sensor networks for spraying pesticides BS Faiçal, FG Costa, G Pessin, J Ueyama, H Freitas, A Colombo, PH Fini, ... Journal of Systems Architecture 60 (4), 393-404, 2014 | 276 | 2014 |
| The use of unmanned aerial vehicles and wireless sensor network in agricultural applications FG Costa, J Ueyama, T Braun, G Pessin, FS Osório, PA Vargas Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International, 2012 | 273 | 2012 |
| Exploiting IoT technologies for enhancing Health Smart Homes through patient identification and emotion recognition LY Mano, BS Faiçal, LHV Nakamura, PH Gomes, GL Libralon, ... Computer Communications 89, 178-190, 2016 | 270 | 2016 |
| AgriPrediction: A proactive internet of things model to anticipate problems and improve production in agricultural crops UJL dos Santos, G Pessin, CA da Costa, R da Rosa Righi Computers and electronics in agriculture 161, 202-213, 2019 | 146 | 2019 |
| CaRINA intelligent robotic car: architectural design and applications LC Fernandes, JR Souza, G Pessin, PY Shinzato, D Sales, C Mendes, ... Journal of Systems Architecture 60 (4), 372-392, 2014 | 112 | 2014 |
| Applications of RFID technology on the study of bees P Nunes-Silva, M Hrncir, JTF Guimarães, H Arruda, L Costa, G Pessin, ... Insectes sociaux 66, 15-24, 2019 | 88 | 2019 |
| Exploiting the use of recurrent neural networks for driver behavior profiling E Carvalho, BV Ferreira, J Ferreira, C De Souza, HV Carvalho, Y Suhara, ... 2017 International Joint Conference on Neural Networks (IJCNN), 3016-3021, 2017 | 79 | 2017 |
| Swarm robotics: A perspective on the latest reviewed concepts and applications PGF Dias, MC Silva, GP Rocha Filho, PA Vargas, LP Cota, G Pessin Sensors 21 (6), 2062, 2021 | 74 | 2021 |
| EKF-LOAM: An adaptive fusion of LiDAR SLAM with wheel odometry and inertial data for confined spaces with few geometric features GPC Júnior, AMC Rezende, VRF Miranda, R Fernandes, H Azpúrua, ... IEEE Transactions on Automation Science and Engineering 19 (3), 1458-1471, 2022 | 73 | 2022 |
| Enhancing intelligence in traffic management systems to aid in vehicle traffic congestion problems in smart cities GP Rocha Filho, RI Meneguette, JRT Neto, A Valejo, L Weigang, ... Ad Hoc Networks 107, 102265, 2020 | 73 | 2020 |
| Fine-tuning of UAV control rules for spraying pesticides on crop fields BS Faiçal, G Pessin, PR Geraldo Filho, AC Carvalho, G Furquim, ... 2014 IEEE 26th international conference on tools with artificial …, 2014 | 72 | 2014 |
| Energy-efficient smart home systems: Infrastructure and decision-making process PR Geraldo Filho, LA Villas, VP Gonçalves, G Pessin, AAF Loureiro, ... Internet of Things 5, 153-167, 2019 | 71 | 2019 |
| Exploiting the use of unmanned aerial vehicles to provide resilience in wireless sensor networks J Ueyama, H Freitas, BS Faiçal, PR Geraldo Filho, P Fini, G Pessin, ... IEEE Communications Magazine 52 (12), 81-87, 2014 | 68 | 2014 |
| Low-cost electronic tagging system for bee monitoring P De Souza, P Marendy, K Barbosa, S Budi, P Hirsch, N Nikolic, ... Sensors 18 (7), 2124, 2018 | 67 | 2018 |
| How to improve fault tolerance in disaster predictions: a case study about flash floods using IoT, ML and real data G Furquim, GPR Filho, R Jalali, G Pessin, RW Pazzi, J Ueyama Sensors 18 (3), 907, 2018 | 62 | 2018 |
| Increasing intelligence in inter-vehicle communications to reduce traffic congestions: Experiments in urban and highway environments RI Meneguette, GPR Filho, DL Guidoni, G Pessin, LA Villas, J Ueyama PLoS one 11 (8), e0159110, 2016 | 59 | 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 G Furquim, G Pessin, BS Faiçal, EM Mendiondo, J Ueyama Neural computing and applications 27, 1129-1141, 2016 | 59 | 2016 |
Jo UeyamaProfessor of Computer Science @ University of Sao Paulo (USP)Overená e-mailová adresa na: icmc.usp.br