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Artigo de periodico
Water level identification with laser sensors, inertial units, and machine learning (2024)
Ranieri, Caetano Mazzoni ; Foletto, Angelo Victor Kraemer ; Garcia, Rodrigo Dutra ; Matos, Saulo Neves ; Medina, Maria Mercedes Gamboa ; Marcolino, Leandro Soriano ; Ueyama, Jó
Source: Engineering Applications of Artificial Intelligence. Unidades: EESC, ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ENCHENTES URBANAS, PREDIÇÃO
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ABNT
RANIERI, Caetano Mazzoni et al. Water level identification with laser sensors, inertial units, and machine learning. Engineering Applications of Artificial Intelligence, v. 127, p. 1-17, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2023.107235. Acesso em: 05 dez. 2025.
APA
Ranieri, C. M., Foletto, A. V. K., Garcia, R. D., Matos, S. N., Medina, M. M. G., Marcolino, L. S., & Ueyama, J. (2024). Water level identification with laser sensors, inertial units, and machine learning. Engineering Applications of Artificial Intelligence, 127, 1-17. doi:10.1016/j.engappai.2023.107235
NLM
Ranieri CM, Foletto AVK, Garcia RD, Matos SN, Medina MMG, Marcolino LS, Ueyama J. Water level identification with laser sensors, inertial units, and machine learning [Internet]. Engineering Applications of Artificial Intelligence. 2024 ; 127 1-17.[citado 2025 dez. 05 ] Available from: https://doi.org/10.1016/j.engappai.2023.107235
Vancouver
Ranieri CM, Foletto AVK, Garcia RD, Matos SN, Medina MMG, Marcolino LS, Ueyama J. Water level identification with laser sensors, inertial units, and machine learning [Internet]. Engineering Applications of Artificial Intelligence. 2024 ; 127 1-17.[citado 2025 dez. 05 ] Available from: https://doi.org/10.1016/j.engappai.2023.107235
Artigo de periodico
An effective combination of loss gradients for multi-task learning applied on instance segmentation and depth estimation (2021)
Nakamura, Angelica Tiemi Mizuno ; Grassi Júnior, Valdir ; Wolf, Denis Fernando
Source: Engineering Applications of Artificial Intelligence. Unidades: EESC, ICMC
Subjects: TOMADA DE DECISÃO, ANÁLISE DE DESEMPENHO, APRENDIZADO COMPUTACIONAL
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ABNT
NAKAMURA, Angelica Tiemi Mizuno e GRASSI JÚNIOR, Valdir e WOLF, Denis Fernando. An effective combination of loss gradients for multi-task learning applied on instance segmentation and depth estimation. Engineering Applications of Artificial Intelligence, v. 100, p. 1-10, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2021.104205. Acesso em: 05 dez. 2025.
APA
Nakamura, A. T. M., Grassi Júnior, V., & Wolf, D. F. (2021). An effective combination of loss gradients for multi-task learning applied on instance segmentation and depth estimation. Engineering Applications of Artificial Intelligence, 100, 1-10. doi:10.1016/j.engappai.2021.104205
NLM
Nakamura ATM, Grassi Júnior V, Wolf DF. An effective combination of loss gradients for multi-task learning applied on instance segmentation and depth estimation [Internet]. Engineering Applications of Artificial Intelligence. 2021 ; 100 1-10.[citado 2025 dez. 05 ] Available from: https://doi.org/10.1016/j.engappai.2021.104205
Vancouver
Nakamura ATM, Grassi Júnior V, Wolf DF. An effective combination of loss gradients for multi-task learning applied on instance segmentation and depth estimation [Internet]. Engineering Applications of Artificial Intelligence. 2021 ; 100 1-10.[citado 2025 dez. 05 ] Available from: https://doi.org/10.1016/j.engappai.2021.104205
Artigo de periodico
Development and evaluation of a prototype for remote voltage monitoring based on artificial neural networks (2017)
Silva, Alex Soto da; Santos, Ricardo Caneloi dos; Bottura, Fernando Bambozzi; Oleskovicz, Mario
Source: Engineering Applications of Artificial Intelligence. Unidade: EESC
Subjects: ENERGIA ELÉTRICA, HARDWARE, REDES NEURAIS, ENGENHARIA ELÉTRICA
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ABNT
SILVA, Alex Soto da et al. Development and evaluation of a prototype for remote voltage monitoring based on artificial neural networks. Engineering Applications of Artificial Intelligence, v. 57, p. 50-60, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2016.10.012. Acesso em: 05 dez. 2025.
APA
Silva, A. S. da, Santos, R. C. dos, Bottura, F. B., & Oleskovicz, M. (2017). Development and evaluation of a prototype for remote voltage monitoring based on artificial neural networks. Engineering Applications of Artificial Intelligence, 57, 50-60. doi:10.1016/j.engappai.2016.10.012
NLM
Silva AS da, Santos RC dos, Bottura FB, Oleskovicz M. Development and evaluation of a prototype for remote voltage monitoring based on artificial neural networks [Internet]. Engineering Applications of Artificial Intelligence. 2017 ; 57 50-60.[citado 2025 dez. 05 ] Available from: https://doi.org/10.1016/j.engappai.2016.10.012
Vancouver
Silva AS da, Santos RC dos, Bottura FB, Oleskovicz M. Development and evaluation of a prototype for remote voltage monitoring based on artificial neural networks [Internet]. Engineering Applications of Artificial Intelligence. 2017 ; 57 50-60.[citado 2025 dez. 05 ] Available from: https://doi.org/10.1016/j.engappai.2016.10.012
Artigo de periodico
A new evolutionary clustering search for a no-wait flow shop problem with set-up times (2012)
Nagano, Marcelo Seido ; Silva, Augusto Almeida da; Lorena, Luiz Antonio Nogueira
Source: Engineering Applications of Artificial Intelligence. Unidade: EESC
Subjects: CLUSTERS, ALGORITMOS GENÉTICOS
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ABNT
NAGANO, Marcelo Seido e SILVA, Augusto Almeida da e LORENA, Luiz Antonio Nogueira. A new evolutionary clustering search for a no-wait flow shop problem with set-up times. Engineering Applications of Artificial Intelligence, v. 25, p. 1114-1120, 2012Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2012.05.017. Acesso em: 05 dez. 2025.
APA
Nagano, M. S., Silva, A. A. da, & Lorena, L. A. N. (2012). A new evolutionary clustering search for a no-wait flow shop problem with set-up times. Engineering Applications of Artificial Intelligence, 25, 1114-1120. doi:10.1016/j.engappai.2012.05.017
NLM
Nagano MS, Silva AA da, Lorena LAN. A new evolutionary clustering search for a no-wait flow shop problem with set-up times [Internet]. Engineering Applications of Artificial Intelligence. 2012 ; 25 1114-1120.[citado 2025 dez. 05 ] Available from: https://doi.org/10.1016/j.engappai.2012.05.017
Vancouver
Nagano MS, Silva AA da, Lorena LAN. A new evolutionary clustering search for a no-wait flow shop problem with set-up times [Internet]. Engineering Applications of Artificial Intelligence. 2012 ; 25 1114-1120.[citado 2025 dez. 05 ] Available from: https://doi.org/10.1016/j.engappai.2012.05.017
Artigo de periodico
A novel multiobjective optimization algorithm based on bacterial chemotaxis (2010)
Alejandra Guzmán, María; Delgado, Alberto; Carvalho, Jonas de
Source: Engineering Applications of Artificial Intelligence. Unidade: EESC
Subjects: ALGORITMOS (OTIMIZAÇÃO), QUIMIOTAXIA
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ABNT
ALEJANDRA GUZMÁN, María e DELGADO, Alberto e CARVALHO, Jonas de. A novel multiobjective optimization algorithm based on bacterial chemotaxis. Engineering Applications of Artificial Intelligence, v. 23, n. 3, p. 292-301, 2010Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2009.09.010. Acesso em: 05 dez. 2025.
APA
Alejandra Guzmán, M., Delgado, A., & Carvalho, J. de. (2010). A novel multiobjective optimization algorithm based on bacterial chemotaxis. Engineering Applications of Artificial Intelligence, 23( 3), 292-301. doi:10.1016/j.engappai.2009.09.010
NLM
Alejandra Guzmán M, Delgado A, Carvalho J de. A novel multiobjective optimization algorithm based on bacterial chemotaxis [Internet]. Engineering Applications of Artificial Intelligence. 2010 ; 23( 3): 292-301.[citado 2025 dez. 05 ] Available from: https://doi.org/10.1016/j.engappai.2009.09.010
Vancouver
Alejandra Guzmán M, Delgado A, Carvalho J de. A novel multiobjective optimization algorithm based on bacterial chemotaxis [Internet]. Engineering Applications of Artificial Intelligence. 2010 ; 23( 3): 292-301.[citado 2025 dez. 05 ] Available from: https://doi.org/10.1016/j.engappai.2009.09.010
Artigo de periodico
Using Bayesian networks with rule extraction to infer the risk of weed infestation in a corn-crop (2009)
Bressan, Gláucia Maria; Oliveira, Vilma Alves de ; Hruschka Junior, Estevam Rafael ; Nicoletti, Maria do Carmo
Source: Engineering Applications of Artificial Intelligence. Unidade: EESC
Subjects: PLANTAS DANINHAS, KRIGAGEM
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ABNT
BRESSAN, Gláucia Maria et al. Using Bayesian networks with rule extraction to infer the risk of weed infestation in a corn-crop. Engineering Applications of Artificial Intelligence, v. 22, n. 4-5, p. 579-592, 2009Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2009.03.006. Acesso em: 05 dez. 2025.
APA
Bressan, G. M., Oliveira, V. A. de, Hruschka Junior, E. R., & Nicoletti, M. do C. (2009). Using Bayesian networks with rule extraction to infer the risk of weed infestation in a corn-crop. Engineering Applications of Artificial Intelligence, 22( 4-5), 579-592. doi:10.1016/j.engappai.2009.03.006
NLM
Bressan GM, Oliveira VA de, Hruschka Junior ER, Nicoletti M do C. Using Bayesian networks with rule extraction to infer the risk of weed infestation in a corn-crop [Internet]. Engineering Applications of Artificial Intelligence. 2009 ; 22( 4-5): 579-592.[citado 2025 dez. 05 ] Available from: https://doi.org/10.1016/j.engappai.2009.03.006
Vancouver
Bressan GM, Oliveira VA de, Hruschka Junior ER, Nicoletti M do C. Using Bayesian networks with rule extraction to infer the risk of weed infestation in a corn-crop [Internet]. Engineering Applications of Artificial Intelligence. 2009 ; 22( 4-5): 579-592.[citado 2025 dez. 05 ] Available from: https://doi.org/10.1016/j.engappai.2009.03.006
Artigo de periodico
Using a modified genetic algorithm to minimize the production costs for slabs of precast prestressed concrete joists (2007)
Castilho, Vanessa Cristina de; El Debs, Mounir Khalil ; Nicoletti, Maria do Carmo
Source: Engineering Applications of Artificial Intelligence. Unidade: EESC
Subjects: CONCRETO PROTENDIDO, ALGORITMOS GENÉTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CASTILHO, Vanessa Cristina de e EL DEBS, Mounir Khalil e NICOLETTI, Maria do Carmo. Using a modified genetic algorithm to minimize the production costs for slabs of precast prestressed concrete joists. Engineering Applications of Artificial Intelligence, v. 20, n. 4, p. 519-530, 2007Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2006.09.003. Acesso em: 05 dez. 2025.
APA
Castilho, V. C. de, El Debs, M. K., & Nicoletti, M. do C. (2007). Using a modified genetic algorithm to minimize the production costs for slabs of precast prestressed concrete joists. Engineering Applications of Artificial Intelligence, 20( 4), 519-530. doi:10.1016/j.engappai.2006.09.003
NLM
Castilho VC de, El Debs MK, Nicoletti M do C. Using a modified genetic algorithm to minimize the production costs for slabs of precast prestressed concrete joists [Internet]. Engineering Applications of Artificial Intelligence. 2007 ; 20( 4): 519-530.[citado 2025 dez. 05 ] Available from: https://doi.org/10.1016/j.engappai.2006.09.003
Vancouver
Castilho VC de, El Debs MK, Nicoletti M do C. Using a modified genetic algorithm to minimize the production costs for slabs of precast prestressed concrete joists [Internet]. Engineering Applications of Artificial Intelligence. 2007 ; 20( 4): 519-530.[citado 2025 dez. 05 ] Available from: https://doi.org/10.1016/j.engappai.2006.09.003

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