Bruno Squizato Faiçal

Pós-doutorado

Formação complementar

Idiomas

Áreas de atuação

Organização de eventos

Participação em eventos

Participação em bancas

Orientou

Produções bibliográficas

• FAIÇAL, BRUNO S. ; MARCONDES, CESAR A. C. ; VERRI, FILIPE A. N. . SiaN-VO: Siamese Network for Visual Odometry. SENSORS , v. 24, p. 973, 2024.

• FAICAL, BRUNO S. ; MARCONDES, CESAR A. C. ; LOUBACH, DENIS S. ; SBRUZZI, ELTON F. ; VERRI, FILIPE A. N. ; MARQUES, JOHNNY C. ; PEREIRA, LOURENCO A. ; MAXIMO, MARCOS R. O. A. ; CURTIS, VITOR V. . A Cyber-Physical System's Roadmap to Last-Mile Delivery Drones. IEEE AEROSPACE AND ELECTRONIC SYSTEMS MAGAZINE , v. 38, p. 1-10, 2023.

• AGUIAR, E. J. ; FAIÇAL, B. S. ; KRISHNAMACHARI, BHASKAR ; UEYAMA, J. . A Survey of Blockchain-Based Strategies for Healthcare. ACM COMPUTING SURVEYS , v. 53, p. 1-27, 2020.

• FREITAS, HEITOR ; FAIÇAL, BRUNO S. ; CARDOSO E SILVA, ALEF VINICIUS ; UEYAMA, JÓ . Use of UAVs for an efficient capsule distribution and smart path planning for biological pest control. COMPUTERS AND ELECTRONICS IN AGRICULTURE , v. 173, p. 105387, 2020.

• MANO, L. Y. ; FAIÇAL, B. S. ; GONCALVES, V. P. ; PESSIN, G. ; GOMES, P. H ; CARVALHO, A. C. P. L. F. ; UEYAMA, J. . An intelligent and generic approach for detecting human emotions: a case study with facial expressions. SOFT COMPUTING , p. 1-13, 2019.

• FAIÇAL, BRUNO S. ; FREITAS, HEITOR ; GOMES, PEDRO H. ; MANO, LEANDRO Y. ; PESSIN, GUSTAVO ; DE CARVALHO, ANDRÉ C.P.L.F. ; KRISHNAMACHARI, BHASKAR ; UEYAMA, JÓ . An adaptive approach for UAV-based pesticide spraying in dynamic environments. COMPUTERS AND ELECTRONICS IN AGRICULTURE , v. 138, p. 210-223, 2017.

• UEYAMA, JÓ ; FAIÇAL, BRUNO S. ; MANO, LEANDRO Y. ; BAYER, GUILHERME ; PESSIN, GUSTAVO ; GOMES, PEDRO H. . Enhancing reliability in Wireless Sensor Networks for adaptive river monitoring systems: Reflections on their long-term deployment in Brazil. COMPUTERS ENVIRONMENT AND URBAN SYSTEMS , v. 65, p. 41-52, 2017.

• MANO, LEANDRO Y. ; FAIÇAL, BRUNO S. ; NAKAMURA, LUIS H.V. ; GOMES, PEDRO H. ; LIBRALON, GIAMPAOLO L. ; MENEGUETE, RODOLFO I. ; FILHO, GERALDO P.R. ; GIANCRISTOFARO, GABRIEL T. ; PESSIN, GUSTAVO ; KRISHNAMACHARI, BHASKAR ; UEYAMA, JÓ . Exploiting IoT technologies for enhancing Health Smart Homes through patient identification and emotion recognition. Computer Communications , v. 1, p. 1, 2016.

• FAIÇAL, BRUNO S. ; PESSIN, GUSTAVO ; FILHO, GERALDO P. R. ; CARVALHO, ANDRÉ C. P. L. F. ; GOMES, PEDRO H. ; UEYAMA, JÓ . Fine-Tuning of UAV Control Rules for Spraying Pesticides on Crop Fields: An Approach for Dynamic Environments. International Journal on Artificial Intelligence Tools , v. 25, p. 1660003, 2016.

• FURQUIM, GUSTAVO ; PESSIN, GUSTAVO ; FAIÇAL, BRUNO S. ; MENDIONDO, EDUARDO M. ; UEYAMA, JÓ . Improving the accuracy of a flood forecasting model by means of machine learning and chaos theory. Neural Computing & Applications (Internet) , v. EANN, p. 1-13, 2015.

• FAIÇAL, B. S. ; COSTA, FAUSTO G. ; PESSIN, G. ; UEYAMA, JÓ ; VIEIRA, H. F. ; COLOMBO, A. ; FINI, P. H. ; VILLAS, L. A. ; OSORIO, FERNANDO S. ; VARGAS, PATRÍCIA. A. ; BRAUN, T. . The use of unmanned aerial vehicles and wireless sensor networks for spraying pesticides. Journal of Systems Architecture , v. 60, p. 393-404, 2014.

• Gustavo Pessin ; Jefferson R. Souza ; Fernando S. Osório ; Bruno S Faiçal ; Geraldo P. R. Filho ; Jó Ueyama ; Patrícia A. Vargas ; Denis F. Wolf . Investigation on the Evolution of a Robotic Controller for Autonomous Vehicle Navigation.. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS , v. 27, p. 3047-3058, 2014.

• UEYAMA, J. ; VIEIRA, H. F. ; FAIÇAL, B. S. ; FILHO, G. P.R. ; FINI, P. H. ; PESSIN, G. ; GOMES, P. H ; VILLAS, L. A. . Exploiting the use of unmanned aerial vehicles to provide resilience in wireless sensor networks. IEEE Communications Magazine (Print) , v. 52, p. 81-87, 2014.

• SOUZA, PAULO S. L. ; SANTANA, REGINA H. C. ; SANTANA, MARCOS J. ; ZALUSKA, ED ; FAICAL, BRUNO S. ; ESTRELLA, JULIO C. . Load Index Metrics for an Optimized Management of Web Services: A Systematic Evaluation. PLoS One , v. 8, p. e68819, 2013.

• FURQUIM, GUSTAVO ; Mello, Rodrigo ; PESSIN, GUSTAVO ; FAIÇAL, BRUNO S. ; MENDIONDO, EDUARDO M. ; UEYAMA, JÓ . An Accurate Flood Forecasting Model Using Wireless Sensor Networks and Chaos Theory: A Case Study with Real WSN Deployment in Brazil. Communications in Computer and Information Science. v.ed.: Springer International Publishing, 2014, v. , p. 92-102.

• FAIÇAL, BRUNO S. ; PESSIN, GUSTAVO ; FILHO, GERALDO P. R. ; FURQUIM, GUSTAVO ; de Carvalho, André C. P. L. F. ; UEYAMA, JÓ . Exploiting Evolution on UAV Control Rules for Spraying Pesticides on Crop Fields. Communications in Computer and Information Science. v.ed.: Springer International Publishing, 2014, v. , p. 49-58.

• CLEMENTINO, JOSE M. ; FAICAL, BRUNO S. ; BONES, CHRISTIAN C. ; TRAINA, CAETANO ; GUTIERREZ, MARCO A. ; TRAINA, AGMA J. M. . Multilevel Clustering Explainer: An Explainable Approach to Electronic Health Records. In: 2021 IEEE 34th International Symposium on ComputerBased Medical Systems (CBMS), 2021, Aveiro. 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS), 2021. p. 253.

• CLEMENTINO, JOSE MARIA ; BONES, CHRISTIAN C. ; FAICAL, BRUNO S. ; LINARES, OSCAR C. ; LIMA, DANIEL M. ; GUTIERREZ, MARCO A. ; TRAINA, CAETANO ; TRAINA, AGMA J. M. . Bag-of-Attributes Representation: A Vector Space Model for Electronic Health Records Analysis in OMOP. In: 2020 IEEE 33rd International Symposium on ComputerBased Medical Systems (CBMS), 2020, Rochester. 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS), 2020. p. 197.

• CUADROS LINARES, OSCAR ; AUREA SORIANO-VARGAS, AUREA ; FAICAL, BRUNO S. ; HAMANN, BERND ; FABRO, ALEXANDRE T. ; J. M. TRAINA, AGMA . Efficient Segmentation of Cell Nuclei in Histopathological Images. In: 2020 IEEE 33rd International Symposium on ComputerBased Medical Systems (CBMS), 2020, Rochester. 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS), 2020. p. 47.

• RAMOS, JONATHAN S. ; CAZZOLATO, MIRELA T. ; FAICAL, BRUNO S. ; NOGUEIRA-BARBOSA, MARCELLO H. ; TRAINA, CAETANO ; TRAINA, AGMA J. M. . 3DBGrowth: Volumetric Vertebrae Segmentation and Reconstruction in Magnetic Resonance Imaging. In: 2019 IEEE 32nd International Symposium on ComputerBased Medical Systems (CBMS), 2019, Cordoba. 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS), 2019. p. 435-440.

• ZABOT, GUILHERME F. ; CAZZOLATO, MIRELA T. ; SCABORA, LUCAS C. ; FAICAL, BRUNO S. ; TRAINA, AGMA J. M. ; TRAINA, CAETANO . UCORM: Indexing Uncorrelated Metric Spaces for Concise Content-Based Retrieval of Medical Images. In: 2019 IEEE 32nd International Symposium on ComputerBased Medical Systems (CBMS), 2019, Cordoba. 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS), 2019. p. 306-311.

• RAMOS, J. S. ; CAZZOLATO, M. T. ; FAIÇAL, BRUNO S. ; LINARES, O. A. C. ; NOGUEIRA-BARBOSA, M. H. ; TRAINA JR, C. ; TRAINA, A. J. M. . Fast and smart segmentation of paraspinal muscles in magnetic resonance imaging with CleverSeg. In: 2019 32nd SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2019. 32nd SIBGRAPI, 2019. v. 32. p. 76-83.

• AGUIAR, E. J. ; FAIÇAL, BRUNO S. ; UEYAMA, JÓ ; SILVA, G. C. ; MENOLLI, A. . Análise de Sentimento em Redes Sociais para a Língua Portuguesa Utilizando Algoritmos de Classificação. In: Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos, 2018, Campos do Jordão. XXXVI Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos (SBRC'18), 2018.

• JUNIOR, CARLOS R. G. ; GOMES, PEDRO H. ; MANO, LEANDRO Y. ; DE OLIVEIRA, RONE B. ; DE CARVALHO, ANDRE C. P. DE L. F. ; FAICAL, BRUNO S. . A Machine Learning-Based Approach for Prediction of Plant Protection Product Deposition. In: 2017 Brazilian Conference on Intelligent Systems (BRACIS), 2017, Uberlândia. 2017 Brazilian Conference on Intelligent Systems (BRACIS), 2017. p. 234-239.

• MAIA, M ; FREITAS, H ; FAIÇAL, B. S. ; SEREJO, G. ; UEYAMA, J. ; PESSIN, G. . Um Veículo Aéreo Não Tripulado para Encontrar Focos de Poluição. In: 43o Seminário Integrado de Software e Hardware (SEMISH), 2016, Porto Alegre, RS. XXXVI Congresso da Sociedade Brasileira de Computação, 2016. v. 2016. p. 1727-1735.

• CARVALHO, EDUARDO ; FAICAL, BRUNO S. ; FILHO, GERALDO P. R. ; VARGAS, PATRICIA A. ; UEYAMA, JO ; PESSIN, GUSTAVO . Exploiting the use of machine learning in two different sensor network architectures for indoor localization. In: 2016 IEEE International Conference on Industrial Technology (ICIT), 2016, Taipei. 2016 IEEE International Conference on Industrial Technology (ICIT), 2016. p. 652.

• FILHO, GERALDO P. R. ; UEYAMA, JO ; FAICAL, BRUNO S. ; GUIDONI, DANIEL L. ; VILLAS, LEANDRO A. . ResiDI: An Intelligent Decision Platform for Residential Infrastructure Using Wireless Sensors and Actuators. In: 2015 XXXIII Brazilian Symposium on Computer Networks and Distributed Systems (SBRC), 2015, Vitoria. 2015 XXXIII Brazilian Symposium on Computer Networks and Distributed Systems. p. 237.

• CARVALHO, E. C. ; PEREIRA, G. ; FAIÇAL, B. S. ; GUTIERREZ, A. H. ; UEYAMA, J. ; PESSIN, G. . Avaliação de Métodos de Aprendizado de Máquina para Localização de Pessoas em Ambientes Internos. In: III Workshop of Communication in Critical Embedded Systems, 2015, Vitória. Anais do WoCCES 2015, 33o Simpósio Brasileiro de redes de computadores e sistemas distribuídos, 2015. v. 2015. p. 21-30.

• FILHO, GERALDO P.R. ; UEYAMA, JO ; FAICAL, BRUNO S. ; PESSIN, GUSTAVO ; FARIAS, CLAUDIO M. DE ; PAZZI, RICHARD W. ; GUIDONI, DANIEL L. ; VILLAS, LEANDRO A. . An Energy-Aware System for Decision-Making in a Residential Infrastructure Using Wireless Sensors and Actuators. In: 2015 IEEE 14th International Symposium on Network Computing and Applications (NCA), 2015, Cambridge. 2015 IEEE 14th International Symposium on Network Computing and Applications, 2015. p. 9.

• MANO, LEANDRO Y. ; GIANCRISTOFARO, GABRIEL T. ; FAIÇAL, BRUNO S. ; LIBRALON, GIAMPAOLO L. ; PESSIN, GUSTAVO ; GOMES, PEDRO H. . Exploiting the Use of Ensemble Classifiers to Enhance the Precision of User's Emotion Classification. In: the 16th International Conference, 2015, Rhodes. Proceedings of the 16th International Conference on Engineering Applications of Neural Networks (INNS) - EANN '15, 2015. p. 1.

• FAICAL, BRUNO S. ; PESSIN, GUSTAVO ; FILHO, GERALDO P.R. ; CARVALHO, ANDRE C.P.L.F. ; FURQUIM, GUSTAVO ; UEYAMA, JO . Fine-Tuning of UAV Control Rules for Spraying Pesticides on Crop Fields. In: 2014 IEEE 26th International Conference on Tools with Artificial Intelligence (ICTAI), 2014, Limassol. 2014 IEEE 26th International Conference on Tools with Artificial Intelligence. p. 527.

• SOUZA, P. S. L. ; FAIÇAL, B. S. ; MATOS, Jonathan de ; SANTANA, Marcos José ; SANTANA, R. H. C. ; ZALUSKA, E. . Jerrymouse: a tool for a flexible and dynamic distribution of web service requests. In: 8th IEEE 2011 International Conference on Services Computing (SCC 2011), 2011, Washington. Proceedings of SCC2011. Washington: IEEE, 2011. v. 1. p. 1-8.

• CUADROS LINARES, OSCAR ; FAICAL, BRUNO ; BARBOSA, PAULO ; HAMANN, BERND ; FABRO, ALEXANDRE ; TRAINA, AGMA . How to Automatically Identify Regions of Interest in High-Resolution Images of Lung Biopsy for Interstitial Fibrosis Diagnosis. In: 2019 IEEE 32nd International Symposium on ComputerBased Medical Systems (CBMS), 2019, Cordoba. 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS), 2019. p. 571-574.

• FAICAL, BRUNO S. ; UEYAMA, JO ; DE CARVALHO, ANDRE C. P. L. F. . The Use of Autonomous UAVs to Improve Pesticide Application in Crop Fields. In: 2016 17th IEEE International Conference on Mobile Data Management (MDM), 2016, Porto. 2016 17th IEEE International Conference on Mobile Data Management (MDM). v. 1. p. 32.

• FAIÇAL, B. S. ; SOUZA, P. S. L. ; MATOS, Jonathan de ; SANTANA, Marcos José ; SANTANA, R. H. C. . Jerrymouse Manual de Instalação. São Carlos: ICMC/USP, 2010 (Relatório Técnico).

Outras produções

Projetos de pesquisa

• 2021 - 2023

  MSIBN - ESTUDAR, APRIMORAR E DESENVOLVER TECNOLOGIAS DE FUSÃO DE DADOS E RECONHECIMENTO DE PADRÕES PARA NAVEGAÇÃO AÉREA SOB CONDIÇÕES PRIVADAS DE GLOBAL NAVIGATION SATELLITE SYSTEM (GNSS), Situação: Concluído; Natureza: Pesquisa. , Integrantes: Bruno Squizato Faiçal - Integrante / VERRI, FILIPE A. N. - Coordenador.

• 2018 - 2021

  Detection of Patterns and Anomalies in Medical Data using Mathematical Modeling, Descrição: Electronic Health Records (EHR) are used to store a wide range of data from patients, including medical history, laboratory test results and medications. This information is highly valuable to physicians as it supports decision making, medical treatment and diagnosis. However, due to the complexity and the volume of the data stored, much of the information that can be extracted from EHR may be hidden as patterns that are not easily detectable.Problem Definition: The goal of this postdoctoral research project is to answer the following question: How can we discover patterns in large datasets of eletronic health records and present this information to healthcare providers? The hypothesis of this project is that mathematical models supported by data mining algorithms are effective tools to detect and and explain hidden patterns in EHR datasets. This project will consist on the following efforts:Data Mining: Analysis of EHR datasets provided by the MIVisBD project in order to detect useful patterns such as disease outbreaks and seasonality as well as anomalies such as errors in the data stored.Modeling: Design of mathematical models to explain the detected patterns.. , Situação: Concluído; Natureza: Pesquisa. , Integrantes: Bruno Squizato Faiçal - Integrante / Agma Juci Machado Traina - Coordenador., Financiador(es): Fundação de Amparo à Pesquisa do Estado de São Paulo - Bolsa.

• 2013 - 2016

  The use of computational intelligence for precision spraying of plant protection products, Descrição: Protection management with the aid of plant protection products makes it possible to carry out pest control programs in agricultural environments and make them less hazardous for the cultivation of products on a large scale. However, when these programs are put into effect, only a small proportion of the sprayed products is really deposited on the target area while much of it is carried to neighboring regions. The scientific literature includes studies on the use of mathematical techniques to calculate the physical transformation and movement and provide a deposition estimate of the product. On the basis of this prediction, it is possible to configure a system which can allow the spraying to be carried out in normal weather conditions in the region for a satisfactory performance, although these conditions can undergo changes and make any statistical configuration unreliable. An alternative way of overcoming this problem, is to adapt the spray elements to the meteorological conditions while the protection management is being undertaken. However, the current techniques are operationally expensive in computational terms, which makes them unsuitable for situations where a short operational time is required. This thesis can be characterized as descriptive and seeks to allow deposition predictions to be made in a rapid and precise way. Thus it is hoped that the new approaches can enable the spray element to be adapted to the weather conditions while the protection management is being carried out. The study begins by attempting to reduce costs through a computational model of the environment that can speed up its execution. Subsequently, this computational model is used for predicting the rate of deposition as a fitness function in meta-heuristic algorithms and ensure that the mechanical behavior of the spray element can be adapted to the weather conditions while the management is put into effect. The results of this approach show that it can be adapted to environments with low variability. At the same time, it has a poor performance in environments with a high variability of weather conditions. A second approach is investigated and analyzed for this scenario, where the adaptation requires a reduced execution time. In this second approach, a trained machine learning technique is employed together with the results obtained from the first approach in different scenarios. These results show that this approach allows the spray element to be adapted in a way that is compatible with what was provided by the previous approach in less space of time.. , Situação: Concluído; Natureza: Pesquisa. , Integrantes: Bruno Squizato Faiçal - Integrante / Jó Ueyama - Coordenador., Financiador(es): Fundação de Amparo à Pesquisa do Estado de São Paulo - Bolsa / CAPES - Centro Anhanguera de Promoção e Educação Social - Bolsa.

• 2009 - 2012

  Políticas de escalonamento em cluster de web services: uma abordagem flexível, dinâmica e transparente, Descrição: O principal objetivo deste projeto é investigar os conceitos, ferramentas e procedimentos envolvidos no desenvolvimento de novas políticas de escalonamento para a distribuição de requisições em cluster de web services. Este projeto esta incluso em um projeto maior voltado para a otimização de distribuição de requisições em cluster de web services, com uma abordagem flexível, dinâmica e transparente. Espera-se maximizar métricas de desempenho específicas da plataforma de web services, tais como: tempo de execução das aplicações, balanceamento de carga, alta disponibilidade e redução do custo da operação como um todo.. , Situação: Concluído; Natureza: Pesquisa. , Alunos envolvidos: Mestrado acadêmico: (1) . , Integrantes: Bruno Squizato Faiçal - Integrante / Paulo Sérgio Lopes de Souza - Coordenador., Financiador(es): Fundação de Amparo à Pesquisa do Estado de São Paulo - Bolsa., Número de produções C, T & A: 2

Projetos de desenvolvimento

• 2023 - 2023

  Mecanismo para Extração de Documentos Regulatórios (MEDoRe), Descrição: Projeto desenvolvido com financiamento da FAPESP sob o programa PIPE Fase 1.. , Situação: Concluído; Natureza: Desenvolvimento. , Integrantes: Bruno Squizato Faiçal - Coordenador / Danilo Amaral de Oliveira - Integrante.

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