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Artigo de periodico
How to improve fault tolerance in disaster predictions: a case study about flash floods using IoT, ML and real data (2018)
Furquim, Gustavo Antonio; Rocha Filho, Geraldo Pereira ; Jalali, Roozbeh; Pessin, Gustavo; Pazzi, Richard W.; Ueyama, Jó
Source: Sensors. Unidade: ICMC
Subjects: SISTEMAS DISTRIBUÍDOS, PROGRAMAÇÃO CONCORRENTE, INTERNET DAS COISAS, APRENDIZADO COMPUTACIONAL
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ABNT
FURQUIM, Gustavo Antonio et al. How to improve fault tolerance in disaster predictions: a case study about flash floods using IoT, ML and real data. Sensors, v. 18, n. 3, p. 1-20, 2018Tradução . . Disponível em: https://doi.org/10.3390/s18030907. Acesso em: 08 nov. 2025.
APA
Furquim, G. A., Rocha Filho, G. P., Jalali, R., Pessin, G., Pazzi, R. W., & Ueyama, J. (2018). How to improve fault tolerance in disaster predictions: a case study about flash floods using IoT, ML and real data. Sensors, 18( 3), 1-20. doi:10.3390/s18030907
NLM
Furquim GA, Rocha Filho GP, Jalali R, Pessin G, Pazzi RW, Ueyama J. How to improve fault tolerance in disaster predictions: a case study about flash floods using IoT, ML and real data [Internet]. Sensors. 2018 ;18( 3): 1-20.[citado 2025 nov. 08 ] Available from: https://doi.org/10.3390/s18030907
Vancouver
Furquim GA, Rocha Filho GP, Jalali R, Pessin G, Pazzi RW, Ueyama J. How to improve fault tolerance in disaster predictions: a case study about flash floods using IoT, ML and real data [Internet]. Sensors. 2018 ;18( 3): 1-20.[citado 2025 nov. 08 ] Available from: https://doi.org/10.3390/s18030907
Artigo de periodico
Assessing users’ emotion at interaction time: a multimodal approach with multiple sensors (2017)
Gonçalves, Vinícius P; Giancristofaro, Gabriel T; Rocha Filho, Geraldo Pereira ; Johnson, Thienne; Carvalho, Valéria; Pessin, Gustavo; Neris, Vania P. de; Ueyama, Jó
Source: Soft Computing. Unidade: ICMC
Subjects: SISTEMAS DISTRIBUÍDOS, PROGRAMAÇÃO CONCORRENTE, EMOÇÕES, EMOÇÕES
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ABNT
GONÇALVES, Vinícius P et al. Assessing users’ emotion at interaction time: a multimodal approach with multiple sensors. Soft Computing, v. 21, n. 18, p. 5309-5323, 2017Tradução . . Disponível em: https://doi.org/10.1007/s00500-016-2115-0. Acesso em: 08 nov. 2025.
APA
Gonçalves, V. P., Giancristofaro, G. T., Rocha Filho, G. P., Johnson, T., Carvalho, V., Pessin, G., et al. (2017). Assessing users’ emotion at interaction time: a multimodal approach with multiple sensors. Soft Computing, 21( 18), 5309-5323. doi:10.1007/s00500-016-2115-0
NLM
Gonçalves VP, Giancristofaro GT, Rocha Filho GP, Johnson T, Carvalho V, Pessin G, Neris VP de, Ueyama J. Assessing users’ emotion at interaction time: a multimodal approach with multiple sensors [Internet]. Soft Computing. 2017 ; 21( 18): 5309-5323.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s00500-016-2115-0
Vancouver
Gonçalves VP, Giancristofaro GT, Rocha Filho GP, Johnson T, Carvalho V, Pessin G, Neris VP de, Ueyama J. Assessing users’ emotion at interaction time: a multimodal approach with multiple sensors [Internet]. Soft Computing. 2017 ; 21( 18): 5309-5323.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s00500-016-2115-0
Artigo de periodico
An adaptive approach for UAV-based pesticide spraying in dynamic environments (2017)
Faiçal, Bruno S; Freitas, Heitor; Gomes, Pedro H; Mano, Leandro Y; Pessin, Gustavo; Carvalho, André Carlos Ponce de Leon Ferreira de ; Krishnamachari, Bhaskar; Ueyama, Jó
Source: Computers and Electronics in Agriculture. Unidade: ICMC
Subjects: ALGORITMOS GENÉTICOS, PROGRAMAÇÃO CONCORRENTE, SISTEMAS DISTRIBUÍDOS, AGRICULTURA DE PRECISÃO
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ABNT
FAIÇAL, Bruno S et al. An adaptive approach for UAV-based pesticide spraying in dynamic environments. Computers and Electronics in Agriculture, v. 138, p. 210-223, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2017.04.011. Acesso em: 08 nov. 2025.
APA
Faiçal, B. S., Freitas, H., Gomes, P. H., Mano, L. Y., Pessin, G., Carvalho, A. C. P. de L. F. de, et al. (2017). An adaptive approach for UAV-based pesticide spraying in dynamic environments. Computers and Electronics in Agriculture, 138, 210-223. doi:10.1016/j.compag.2017.04.011
NLM
Faiçal BS, Freitas H, Gomes PH, Mano LY, Pessin G, Carvalho ACP de LF de, Krishnamachari B, Ueyama J. An adaptive approach for UAV-based pesticide spraying in dynamic environments [Internet]. Computers and Electronics in Agriculture. 2017 ; 138 210-223.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1016/j.compag.2017.04.011
Vancouver
Faiçal BS, Freitas H, Gomes PH, Mano LY, Pessin G, Carvalho ACP de LF de, Krishnamachari B, Ueyama J. An adaptive approach for UAV-based pesticide spraying in dynamic environments [Internet]. Computers and Electronics in Agriculture. 2017 ; 138 210-223.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1016/j.compag.2017.04.011
Artigo de periodico
Providing adaptive smartphone interfaces targeted at elderly people: an approach that takes into account diversity among the elderly (2017)
Gonçalves, Vinícius P; Neris, Vania P. de; Seraphini, Sibelius; Dias, Teresa C. M; Pessin, Gustavo; Johnson, Thienne; Ueyama, Jó
Source: Universal Access in the Information Society. Unidade: ICMC
Subjects: SISTEMAS DISTRIBUÍDOS, PROGRAMAÇÃO CONCORRENTE
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ABNT
GONÇALVES, Vinícius P et al. Providing adaptive smartphone interfaces targeted at elderly people: an approach that takes into account diversity among the elderly. Universal Access in the Information Society, v. 16, n. 1, p. 129-149, 2017Tradução . . Disponível em: https://doi.org/10.1007/s10209-015-0429-9. Acesso em: 08 nov. 2025.
APA
Gonçalves, V. P., Neris, V. P. de, Seraphini, S., Dias, T. C. M., Pessin, G., Johnson, T., & Ueyama, J. (2017). Providing adaptive smartphone interfaces targeted at elderly people: an approach that takes into account diversity among the elderly. Universal Access in the Information Society, 16( 1), 129-149. doi:10.1007/s10209-015-0429-9
NLM
Gonçalves VP, Neris VP de, Seraphini S, Dias TCM, Pessin G, Johnson T, Ueyama J. Providing adaptive smartphone interfaces targeted at elderly people: an approach that takes into account diversity among the elderly [Internet]. Universal Access in the Information Society. 2017 ; 16( 1): 129-149.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10209-015-0429-9
Vancouver
Gonçalves VP, Neris VP de, Seraphini S, Dias TCM, Pessin G, Johnson T, Ueyama J. Providing adaptive smartphone interfaces targeted at elderly people: an approach that takes into account diversity among the elderly [Internet]. Universal Access in the Information Society. 2017 ; 16( 1): 129-149.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10209-015-0429-9
Artigo de periodico
Enhancing intelligence in multimodal emotion assessments (2017)
Gonçalves, Vinicius Pereira ; Costa, Eduardo P.; Valejo, Alan Demetrius Baria; Rocha Filho, Geraldo Pereira ; Johnson, Thienne de Melo e Silva Mesquita; Pessin, Gustavo; Ueyama, Jó
Source: Applied Intelligence. Unidade: ICMC
Subjects: SISTEMAS DISTRIBUÍDOS, PROGRAMAÇÃO CONCORRENTE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GONÇALVES, Vinicius Pereira et al. Enhancing intelligence in multimodal emotion assessments. Applied Intelligence, v. 46, n. 2, p. 470-486, 2017Tradução . . Disponível em: https://doi.org/10.1007/s10489-016-0842-7. Acesso em: 08 nov. 2025.
APA
Gonçalves, V. P., Costa, E. P., Valejo, A. D. B., Rocha Filho, G. P., Johnson, T. de M. e S. M., Pessin, G., & Ueyama, J. (2017). Enhancing intelligence in multimodal emotion assessments. Applied Intelligence, 46( 2), 470-486. doi:10.1007/s10489-016-0842-7
NLM
Gonçalves VP, Costa EP, Valejo ADB, Rocha Filho GP, Johnson T de M e SM, Pessin G, Ueyama J. Enhancing intelligence in multimodal emotion assessments [Internet]. Applied Intelligence. 2017 ; 46( 2): 470-486.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10489-016-0842-7
Vancouver
Gonçalves VP, Costa EP, Valejo ADB, Rocha Filho GP, Johnson T de M e SM, Pessin G, Ueyama J. Enhancing intelligence in multimodal emotion assessments [Internet]. Applied Intelligence. 2017 ; 46( 2): 470-486.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10489-016-0842-7
Artigo de periodico
Enhancing reliability in Wireless Sensor Networks for adaptive river monitoring systems: reflections on their long-term deployment in Brazil (2017)
Ueyama, Jó ; Faiçal, Bruno S.; Mano, Leandro Y.; Bayer, Guilherme; Pessin, Gustavo; Gomes, Pedro H
Source: Computers, Environment and Urban Systems. Unidade: ICMC
Subjects: PROGRAMAÇÃO CONCORRENTE, SISTEMAS DISTRIBUÍDOS, SEGURANÇA PÚBLICA
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ABNT
UEYAMA, Jó et al. 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, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.compenvurbsys.2017.05.001. Acesso em: 08 nov. 2025.
APA
Ueyama, J., Faiçal, B. S., Mano, L. Y., Bayer, G., Pessin, G., & Gomes, P. H. (2017). Enhancing reliability in Wireless Sensor Networks for adaptive river monitoring systems: reflections on their long-term deployment in Brazil. Computers, Environment and Urban Systems, 65, 41-52. doi:10.1016/j.compenvurbsys.2017.05.001
NLM
Ueyama J, Faiçal BS, Mano LY, Bayer G, Pessin G, Gomes PH. Enhancing reliability in Wireless Sensor Networks for adaptive river monitoring systems: reflections on their long-term deployment in Brazil [Internet]. Computers, Environment and Urban Systems. 2017 ; 65 41-52.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1016/j.compenvurbsys.2017.05.001
Vancouver
Ueyama J, Faiçal BS, Mano LY, Bayer G, Pessin G, Gomes PH. Enhancing reliability in Wireless Sensor Networks for adaptive river monitoring systems: reflections on their long-term deployment in Brazil [Internet]. Computers, Environment and Urban Systems. 2017 ; 65 41-52.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1016/j.compenvurbsys.2017.05.001
Trabalho de evento
Um veículo aéreo não tripulado para encontrar focos de poluição (2016)
Silva, Marcelo Maia da; Freitas, Heitor; Faiçal, Bruno S.; Serejo, Gerson; Ueyama, Jó ; Pessin, Gustavo
Source: Anais. Conference titles: Congresso da Sociedade Brasileira de Computação - CSBC 2016. Unidade: ICMC
Subjects: SISTEMAS DISTRIBUÍDOS, PROGRAMAÇÃO CONCORRENTE
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ABNT
SILVA, Marcelo Maia da et al. Um veículo aéreo não tripulado para encontrar focos de poluição. 2016, Anais.. Porto Alegre, RS: Sociedade Brasileira de Computação - SBC, 2016. Disponível em: http://ebooks.pucrs.br/edipucrs/anais/csbc/#/eventos. Acesso em: 08 nov. 2025.
APA
Silva, M. M. da, Freitas, H., Faiçal, B. S., Serejo, G., Ueyama, J., & Pessin, G. (2016). Um veículo aéreo não tripulado para encontrar focos de poluição. In Anais. Porto Alegre, RS: Sociedade Brasileira de Computação - SBC. Recuperado de http://ebooks.pucrs.br/edipucrs/anais/csbc/#/eventos
NLM
Silva MM da, Freitas H, Faiçal BS, Serejo G, Ueyama J, Pessin G. Um veículo aéreo não tripulado para encontrar focos de poluição [Internet]. Anais. 2016 ;[citado 2025 nov. 08 ] Available from: http://ebooks.pucrs.br/edipucrs/anais/csbc/#/eventos
Vancouver
Silva MM da, Freitas H, Faiçal BS, Serejo G, Ueyama J, Pessin G. Um veículo aéreo não tripulado para encontrar focos de poluição [Internet]. Anais. 2016 ;[citado 2025 nov. 08 ] Available from: http://ebooks.pucrs.br/edipucrs/anais/csbc/#/eventos
Artigo de periodico
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 (2016)
Furquim, Gustavo; Pessin, Gustavo; Faiçal, Bruno S; Mendiondo, Eduardo Mario ; Ueyama, Jó
Source: Neural Computing and Applications. Unidades: EESC, ICMC
Subjects: SISTEMAS DISTRIBUÍDOS, PROGRAMAÇÃO CONCORRENTE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FURQUIM, Gustavo et al. 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 Computing and Applications, v. 27, p. 1129-1141, 2016Tradução . . Disponível em: https://doi.org/10.1007/s00521-015-1930-z. Acesso em: 08 nov. 2025.
APA
Furquim, G., Pessin, G., Faiçal, B. S., Mendiondo, E. M., & Ueyama, J. (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. Neural Computing and Applications, 27, 1129-1141. doi:10.1007/s00521-015-1930-z
NLM
Furquim G, Pessin G, Faiçal BS, Mendiondo EM, Ueyama J. 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 [Internet]. Neural Computing and Applications. 2016 ; 27 1129-1141.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s00521-015-1930-z
Vancouver
Furquim G, Pessin G, Faiçal BS, Mendiondo EM, Ueyama J. 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 [Internet]. Neural Computing and Applications. 2016 ; 27 1129-1141.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s00521-015-1930-z
Artigo de periodico
Fine-tuning of UAV control rules for spraying pesticides on crop fields: an approach for dynamic environments (2016)
Faiçal, Bruno S; Pessin, Gustavo; Rocha Filho, Geraldo Pereira ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Gomes, Pedro H; Ueyama, Jó
Source: International Journal on Artificial Intelligence Tools. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, REDES NEURAIS, ALGORITMOS GENÉTICOS, PROGRAMAÇÃO CONCORRENTE, AGRICULTURA (APLICAÇÕES)
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ABNT
FAIÇAL, Bruno S et al. 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, n. 1, p. 1660003-1-1660003-19, 2016Tradução . . Disponível em: https://doi.org/10.1142/S0218213016600034. Acesso em: 08 nov. 2025.
APA
Faiçal, B. S., Pessin, G., Rocha Filho, G. P., Carvalho, A. C. P. de L. F. de, Gomes, P. H., & Ueyama, J. (2016). Fine-tuning of UAV control rules for spraying pesticides on crop fields: an approach for dynamic environments. International Journal on Artificial Intelligence Tools, 25( 1), 1660003-1-1660003-19. doi:10.1142/S0218213016600034
NLM
Faiçal BS, Pessin G, Rocha Filho GP, Carvalho ACP de LF de, Gomes PH, Ueyama J. Fine-tuning of UAV control rules for spraying pesticides on crop fields: an approach for dynamic environments [Internet]. International Journal on Artificial Intelligence Tools. 2016 ; 25( 1): 1660003-1-1660003-19.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1142/S0218213016600034
Vancouver
Faiçal BS, Pessin G, Rocha Filho GP, Carvalho ACP de LF de, Gomes PH, Ueyama J. Fine-tuning of UAV control rules for spraying pesticides on crop fields: an approach for dynamic environments [Internet]. International Journal on Artificial Intelligence Tools. 2016 ; 25( 1): 1660003-1-1660003-19.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1142/S0218213016600034
Artigo de periodico
Exploiting IoT technologies for enhancing Health Smart Homes through patient identification and emotion recognition (2016)
Mano, Leandro Y; Faiçal, Bruno S; Nakamura, Luis H. V; Gomes, Pedro H; Libralon, Giampaolo L; Meneguette, Rodolfo Ipolito ; Rocha Filho, Geraldo Pereira ; Giancristofaro, Gabriel T; Pessin, Gustavo; Krishnamachari, Bhaskar; Ueyama, Jó
Source: Computer Communications. Unidade: ICMC
Subjects: SISTEMAS DISTRIBUÍDOS, PROGRAMAÇÃO CONCORRENTE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MANO, Leandro Y et al. Exploiting IoT technologies for enhancing Health Smart Homes through patient identification and emotion recognition. Computer Communications, v. 89-90, p. 178-190, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.comcom.2016.03.010. Acesso em: 08 nov. 2025.
APA
Mano, L. Y., Faiçal, B. S., Nakamura, L. H. V., Gomes, P. H., Libralon, G. L., Meneguette, R. I., et al. (2016). Exploiting IoT technologies for enhancing Health Smart Homes through patient identification and emotion recognition. Computer Communications, 89-90, 178-190. doi:10.1016/j.comcom.2016.03.010
NLM
Mano LY, Faiçal BS, Nakamura LHV, Gomes PH, Libralon GL, Meneguette RI, Rocha Filho GP, Giancristofaro GT, Pessin G, Krishnamachari B, Ueyama J. Exploiting IoT technologies for enhancing Health Smart Homes through patient identification and emotion recognition [Internet]. Computer Communications. 2016 ; 89-90 178-190.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1016/j.comcom.2016.03.010
Vancouver
Mano LY, Faiçal BS, Nakamura LHV, Gomes PH, Libralon GL, Meneguette RI, Rocha Filho GP, Giancristofaro GT, Pessin G, Krishnamachari B, Ueyama J. Exploiting IoT technologies for enhancing Health Smart Homes through patient identification and emotion recognition [Internet]. Computer Communications. 2016 ; 89-90 178-190.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1016/j.comcom.2016.03.010
Artigo de periodico
Increasing intelligence in inter-vehicle communications to reduce traffic congestions: experiments in urban and highway environments (2016)
Meneguette, Rodolfo Ipolito ; Rocha Filho, Geraldo Pereira ; Guidoni, Daniel Ludovico ; Pessin, Gustavo ; Villas, Leandro Aparecido ; Ueyama, Jó
Source: PLOS One. Unidade: ICMC
Subjects: SISTEMAS DISTRIBUÍDOS, PROGRAMAÇÃO CONCORRENTE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MENEGUETTE, Rodolfo Ipolito et al. Increasing intelligence in inter-vehicle communications to reduce traffic congestions: experiments in urban and highway environments. PLOS One, v. 11, n. 8, p. 1-25, 2016Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0159110. Acesso em: 08 nov. 2025.
APA
Meneguette, R. I., Rocha Filho, G. P., Guidoni, D. L., Pessin, G., Villas, L. A., & Ueyama, J. (2016). Increasing intelligence in inter-vehicle communications to reduce traffic congestions: experiments in urban and highway environments. PLOS One, 11( 8), 1-25. doi:10.1371/journal.pone.0159110
NLM
Meneguette RI, Rocha Filho GP, Guidoni DL, Pessin G, Villas LA, Ueyama J. Increasing intelligence in inter-vehicle communications to reduce traffic congestions: experiments in urban and highway environments [Internet]. PLOS One. 2016 ; 11( 8): 1-25.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1371/journal.pone.0159110
Vancouver
Meneguette RI, Rocha Filho GP, Guidoni DL, Pessin G, Villas LA, Ueyama J. Increasing intelligence in inter-vehicle communications to reduce traffic congestions: experiments in urban and highway environments [Internet]. PLOS One. 2016 ; 11( 8): 1-25.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1371/journal.pone.0159110
Trabalho de evento
Exploiting the use of machine learning in two different sensor network architectures for indoor localization (2016)
Carvalho, Eduardo Costa de; Faiçal, Bruno Squizato ; Rocha Filho, Geraldo Pereira ; Vargas, Patrícia Amâncio ; Ueyama, Jó ; Pessin, Gustavo
Source: Proceedings. Conference titles: IEEE International Conference on Industrial Technology - ICIT. Unidade: ICMC
Subjects: SISTEMAS DISTRIBUÍDOS, PROGRAMAÇÃO CONCORRENTE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CARVALHO, Eduardo Costa de et al. Exploiting the use of machine learning in two different sensor network architectures for indoor localization. 2016, Anais.. Piscataway: IEEE, 2016. Disponível em: https://doi.org/10.1109/ICIT.2016.7474826. Acesso em: 08 nov. 2025.
APA
Carvalho, E. C. de, Faiçal, B. S., Rocha Filho, G. P., Vargas, P. A., Ueyama, J., & Pessin, G. (2016). Exploiting the use of machine learning in two different sensor network architectures for indoor localization. In Proceedings. Piscataway: IEEE. doi:10.1109/ICIT.2016.7474826
NLM
Carvalho EC de, Faiçal BS, Rocha Filho GP, Vargas PA, Ueyama J, Pessin G. Exploiting the use of machine learning in two different sensor network architectures for indoor localization [Internet]. Proceedings. 2016 ;[citado 2025 nov. 08 ] Available from: https://doi.org/10.1109/ICIT.2016.7474826
Vancouver
Carvalho EC de, Faiçal BS, Rocha Filho GP, Vargas PA, Ueyama J, Pessin G. Exploiting the use of machine learning in two different sensor network architectures for indoor localization [Internet]. Proceedings. 2016 ;[citado 2025 nov. 08 ] Available from: https://doi.org/10.1109/ICIT.2016.7474826
Trabalho de evento-anais periodico
A distributed approach to flood prediction using a WSN and ML: a comparative study of ml techniques in a WSN deployed in Brazil (2015)
Furquim, Gustavo; Pessin, Gustavo; Gomes, Pedro H; Mendiondo, Eduardo Mario ; Ueyama, Jó
Source: Lecture Notes in Computer Science. Conference titles: International Conference Intelligent Data Engineering and Automated Learning – IDEAL. Unidades: EESC, ICMC
Subjects: SISTEMAS DISTRIBUÍDOS, PROGRAMAÇÃO CONCORRENTE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FURQUIM, Gustavo et al. A distributed approach to flood prediction using a WSN and ML: a comparative study of ml techniques in a WSN deployed in Brazil. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-24834-9_56. Acesso em: 08 nov. 2025. , 2015
APA
Furquim, G., Pessin, G., Gomes, P. H., Mendiondo, E. M., & Ueyama, J. (2015). A distributed approach to flood prediction using a WSN and ML: a comparative study of ml techniques in a WSN deployed in Brazil. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-319-24834-9_56
NLM
Furquim G, Pessin G, Gomes PH, Mendiondo EM, Ueyama J. A distributed approach to flood prediction using a WSN and ML: a comparative study of ml techniques in a WSN deployed in Brazil [Internet]. Lecture Notes in Computer Science. 2015 ;[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-319-24834-9_56
Vancouver
Furquim G, Pessin G, Gomes PH, Mendiondo EM, Ueyama J. A distributed approach to flood prediction using a WSN and ML: a comparative study of ml techniques in a WSN deployed in Brazil [Internet]. Lecture Notes in Computer Science. 2015 ;[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-319-24834-9_56
Trabalho de evento
Exploiting the use of ensemble classifiers to enhance the precision of user's emotion classification (2015)
Mano, Leandro Y; Giancristofaro, Gabriel Tessaroli; Faiçal, Bruno S; Libralon, Giampaolo L; Pessin, Gustavo; Gomes, Pedro H; Ueyama, Jó
Source: Communications in Computer and Information Science. Conference titles: International Conference on Engineering Applications of Neural Networks - EANN. Unidade: ICMC
Subjects: SISTEMAS EMBUTIDOS, PROGRAMAÇÃO CONCORRENTE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MANO, Leandro Y et al. Exploiting the use of ensemble classifiers to enhance the precision of user's emotion classification. 2015, Anais.. New York: ACM, 2015. p. 49-58. Disponível em: https://doi.org/10.1145/2797143.2797165. Acesso em: 08 nov. 2025.
APA
Mano, L. Y., Giancristofaro, G. T., Faiçal, B. S., Libralon, G. L., Pessin, G., Gomes, P. H., & Ueyama, J. (2015). Exploiting the use of ensemble classifiers to enhance the precision of user's emotion classification. In Communications in Computer and Information Science (Vol. 459, p. 49-58). New York: ACM. doi:10.1145/2797143.2797165
NLM
Mano LY, Giancristofaro GT, Faiçal BS, Libralon GL, Pessin G, Gomes PH, Ueyama J. Exploiting the use of ensemble classifiers to enhance the precision of user's emotion classification [Internet]. Communications in Computer and Information Science. 2015 ; 459 49-58.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1145/2797143.2797165
Vancouver
Mano LY, Giancristofaro GT, Faiçal BS, Libralon GL, Pessin G, Gomes PH, Ueyama J. Exploiting the use of ensemble classifiers to enhance the precision of user's emotion classification [Internet]. Communications in Computer and Information Science. 2015 ; 459 49-58.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1145/2797143.2797165
Trabalho de evento
An energy-aware system for decision-making in a residential infrastructure using wireless sensors and actuators (2015)
Rocha Filho, Geraldo Pereira ; Ueyama, Jó ; Faiçal, Bruno S; Pessin, Gustavo; Farias, Claudio M. de; Pazzi, Richard W; Guidoni, Daniel L; Villas, Leandro
Source: Proceedings. Conference titles: IEEE International Symposium on Network Computing and Applications - NCA. Unidade: ICMC
Subjects: SISTEMAS DISTRIBUÍDOS, PROGRAMAÇÃO CONCORRENTE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ROCHA FILHO, Geraldo Pereira et al. An energy-aware system for decision-making in a residential infrastructure using wireless sensors and actuators. 2015, Anais.. Piscataway, NJ: IEEE, 2015. Disponível em: https://doi.org/10.1109/NCA.2015.30. Acesso em: 08 nov. 2025.
APA
Rocha Filho, G. P., Ueyama, J., Faiçal, B. S., Pessin, G., Farias, C. M. de, Pazzi, R. W., et al. (2015). An energy-aware system for decision-making in a residential infrastructure using wireless sensors and actuators. In Proceedings. Piscataway, NJ: IEEE. doi:10.1109/NCA.2015.30
NLM
Rocha Filho GP, Ueyama J, Faiçal BS, Pessin G, Farias CM de, Pazzi RW, Guidoni DL, Villas L. An energy-aware system for decision-making in a residential infrastructure using wireless sensors and actuators [Internet]. Proceedings. 2015 ;[citado 2025 nov. 08 ] Available from: https://doi.org/10.1109/NCA.2015.30
Vancouver
Rocha Filho GP, Ueyama J, Faiçal BS, Pessin G, Farias CM de, Pazzi RW, Guidoni DL, Villas L. An energy-aware system for decision-making in a residential infrastructure using wireless sensors and actuators [Internet]. Proceedings. 2015 ;[citado 2025 nov. 08 ] Available from: https://doi.org/10.1109/NCA.2015.30
Trabalho de evento
Self-localisation in indoor environments combining learning and evolution with wireless networks (2014)
Pessin, Gustavo; Osório, Fernando Santos ; Ueyama, Jó ; Wolf, Denis Fernando ; Moioli, Renan C; Vargas, Patrícia A
Source: Proceedings. Conference titles: Symposium on Applied Computing - SAC. Unidade: ICMC
Subjects: SISTEMAS DE INFORMAÇÃO, ENGENHARIA DE SOFTWARE, SISTEMAS DISTRIBUÍDOS, PROGRAMAÇÃO CONCORRENTE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PESSIN, Gustavo et al. Self-localisation in indoor environments combining learning and evolution with wireless networks. 2014, Anais.. New York: ACM, 2014. . Acesso em: 08 nov. 2025.
APA
Pessin, G., Osório, F. S., Ueyama, J., Wolf, D. F., Moioli, R. C., & Vargas, P. A. (2014). Self-localisation in indoor environments combining learning and evolution with wireless networks. In Proceedings. New York: ACM.
NLM
Pessin G, Osório FS, Ueyama J, Wolf DF, Moioli RC, Vargas PA. Self-localisation in indoor environments combining learning and evolution with wireless networks. Proceedings. 2014 ;[citado 2025 nov. 08 ]
Vancouver
Pessin G, Osório FS, Ueyama J, Wolf DF, Moioli RC, Vargas PA. Self-localisation in indoor environments combining learning and evolution with wireless networks. Proceedings. 2014 ;[citado 2025 nov. 08 ]
Trabalho de evento
Fine-tuning of UAV control rules for spraying pesticides on crop fields (2014)
Faiçal, Bruno S; Pessin, Gustavo; Rocha Filho, Geraldo Pereira ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Furquim, Gustavo; Ueyama, Jó
Source: Proceedings. Conference titles: IEEE International Conference on Tools with Artificial Intelligence - ICTAI. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, COMPUTAÇÃO EVOLUTIVA, SISTEMAS DISTRIBUÍDOS, PROGRAMAÇÃO CONCORRENTE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FAIÇAL, Bruno S et al. Fine-tuning of UAV control rules for spraying pesticides on crop fields. 2014, Anais.. Los Alamitos: IEEE, 2014. Disponível em: https://doi.org/10.1109/ICTAI.2014.85. Acesso em: 08 nov. 2025.
APA
Faiçal, B. S., Pessin, G., Rocha Filho, G. P., Carvalho, A. C. P. de L. F. de, Furquim, G., & Ueyama, J. (2014). Fine-tuning of UAV control rules for spraying pesticides on crop fields. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ICTAI.2014.85
NLM
Faiçal BS, Pessin G, Rocha Filho GP, Carvalho ACP de LF de, Furquim G, Ueyama J. Fine-tuning of UAV control rules for spraying pesticides on crop fields [Internet]. Proceedings. 2014 ;[citado 2025 nov. 08 ] Available from: https://doi.org/10.1109/ICTAI.2014.85
Vancouver
Faiçal BS, Pessin G, Rocha Filho GP, Carvalho ACP de LF de, Furquim G, Ueyama J. Fine-tuning of UAV control rules for spraying pesticides on crop fields [Internet]. Proceedings. 2014 ;[citado 2025 nov. 08 ] Available from: https://doi.org/10.1109/ICTAI.2014.85
Trabalho de evento-anais periodico
Exploiting evolution on UAV control rules for spraying pesticides on crop fields (2014)
Faiçal, Bruno S; Pessin, Gustavo; Rocha Filho, Geraldo Pereira ; Furquim, Gustavo; Carvalho, André Carlos Ponce de Leon Ferreira de ; Ueyama, Jó
Source: Communications in Computer and Information Science. Conference titles: International Conference on Engineering Applications of Neural Networks - EANN. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, SISTEMAS EMBUTIDOS, PROGRAMAÇÃO CONCORRENTE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FAIÇAL, Bruno S et al. Exploiting evolution on UAV control rules for spraying pesticides on crop fields. Communications in Computer and Information Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-11071-4_5. Acesso em: 08 nov. 2025. , 2014
APA
Faiçal, B. S., Pessin, G., Rocha Filho, G. P., Furquim, G., Carvalho, A. C. P. de L. F. de, & Ueyama, J. (2014). Exploiting evolution on UAV control rules for spraying pesticides on crop fields. Communications in Computer and Information Science. Cham: Springer. doi:10.1007/978-3-319-11071-4_5
NLM
Faiçal BS, Pessin G, Rocha Filho GP, Furquim G, Carvalho ACP de LF de, Ueyama J. Exploiting evolution on UAV control rules for spraying pesticides on crop fields [Internet]. Communications in Computer and Information Science. 2014 ; 459 49-58.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-319-11071-4_5
Vancouver
Faiçal BS, Pessin G, Rocha Filho GP, Furquim G, Carvalho ACP de LF de, Ueyama J. Exploiting evolution on UAV control rules for spraying pesticides on crop fields [Internet]. Communications in Computer and Information Science. 2014 ; 459 49-58.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-319-11071-4_5
Artigo de periodico
NodePM: a remote monitoring alert system for energy consumption using probabilistic techniques (2014)
Rocha Filho, Geraldo P; Ueyama, Jó ; Villas, Leandro A; Pinto, A. R; Gonçalves, Vinícius P; Pessin, Gustavo; Pazzi, Richard W; Braun, Torsten
Source: Sensors. Unidade: ICMC
Subjects: SISTEMAS DISTRIBUÍDOS, PROGRAMAÇÃO CONCORRENTE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ROCHA FILHO, Geraldo P et al. NodePM: a remote monitoring alert system for energy consumption using probabilistic techniques. Sensors, v. 14, n. 1, p. 848-867, 2014Tradução . . Disponível em: https://doi.org/10.3390/s140100848. Acesso em: 08 nov. 2025.
APA
Rocha Filho, G. P., Ueyama, J., Villas, L. A., Pinto, A. R., Gonçalves, V. P., Pessin, G., et al. (2014). NodePM: a remote monitoring alert system for energy consumption using probabilistic techniques. Sensors, 14( 1), 848-867. doi:10.3390/s140100848
NLM
Rocha Filho GP, Ueyama J, Villas LA, Pinto AR, Gonçalves VP, Pessin G, Pazzi RW, Braun T. NodePM: a remote monitoring alert system for energy consumption using probabilistic techniques [Internet]. Sensors. 2014 ; 14( 1): 848-867.[citado 2025 nov. 08 ] Available from: https://doi.org/10.3390/s140100848
Vancouver
Rocha Filho GP, Ueyama J, Villas LA, Pinto AR, Gonçalves VP, Pessin G, Pazzi RW, Braun T. NodePM: a remote monitoring alert system for energy consumption using probabilistic techniques [Internet]. Sensors. 2014 ; 14( 1): 848-867.[citado 2025 nov. 08 ] Available from: https://doi.org/10.3390/s140100848
Trabalho de evento-anais periodico
An accurate flood forecasting model using wireless sensor networks and chaos theory: a case study with real WSN deployment in Brazil (2014)
Furquim, Gustavo; Mello, Rodrigo Fernandes de; Pessin, Gustavo; Faiçal, Bruno S; Mendiondo, Eduardo Mario ; Ueyama, Jó
Source: Communications in Computer and Information Science. Conference titles: International Conference on Engineering Applications of Neural Networks - EANN. Unidades: ICMC, EESC
Subjects: SISTEMAS EMBUTIDOS, PROGRAMAÇÃO CONCORRENTE, APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS, TEORIA DO CAOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FURQUIM, Gustavo et al. 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. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-11071-4_9. Acesso em: 08 nov. 2025. , 2014
APA
Furquim, G., Mello, R. F. de, Pessin, G., Faiçal, B. S., Mendiondo, E. M., & Ueyama, J. (2014). 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. Cham: Springer. doi:10.1007/978-3-319-11071-4_9
NLM
Furquim G, Mello RF de, Pessin G, Faiçal BS, Mendiondo EM, Ueyama J. An accurate flood forecasting model using wireless sensor networks and chaos theory: a case study with real WSN deployment in Brazil [Internet]. Communications in Computer and Information Science. 2014 ; 459 92-102.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-319-11071-4_9
Vancouver
Furquim G, Mello RF de, Pessin G, Faiçal BS, Mendiondo EM, Ueyama J. An accurate flood forecasting model using wireless sensor networks and chaos theory: a case study with real WSN deployment in Brazil [Internet]. Communications in Computer and Information Science. 2014 ; 459 92-102.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-319-11071-4_9

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