Zobrazeno 1 - 10
of 76
pro vyhledávání: '"P. Cugnasca"'
Autor:
Neto, Euclides Carlos Pinto, Baum, Derick Moreira, Almeida Jr., Jorge Rady de, Camargo Jr., Joao Batista, Cugnasca, Paulo Sergio
Air transportation is essential for society, and it is increasing gradually due to its importance. To improve the airspace operation, new technologies are under development, such as Unmanned Aircraft Systems (UAS). In fact, in the past few years, the
Externí odkaz:
http://arxiv.org/abs/2211.15330
Autor:
Oliveira, David F. N., Vismari, Lucio F., Nascimento, Alexandre M., Almeida Jr, Jorge R. de, Cugnasca, Paulo S., Camargo Jr, Joao B., Almeida, Leandro, Gripp, Rafael, Neves, Marcelo
Despite the superior performance in modeling complex patterns to address challenging problems, the black-box nature of Deep Learning (DL) methods impose limitations to their application in real-world critical domains. The lack of a smooth manner for
Externí odkaz:
http://arxiv.org/abs/2103.07953
Akademický článek
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Autor:
Neto, Euclides C. Pinto, Baum, Derick M., Junior, Jorge Rady de Almeida, Junior, João Batista Camargo, Cugnasca, Paulo Sérgio
Nowadays, the demand for optimized services in urban environments to provide better society wellness is increasing. In this sense, ground transportation in dense urban environments has been facing challenges for many years (e.g., congestion and resil
Externí odkaz:
http://arxiv.org/abs/1908.08651
Autor:
Nascimento, A. M., Vismari, L. F., Molina, C. B. S. T., Cugnasca, P. S., Camargo Jr., J. B., Almeida Jr., J. R. de, Inam, R., Fersman, E., Marquezini, M. V., Hata, A. Y.
Autonomous Vehicles (AV) are expected to bring considerable benefits to society, such as traffic optimization and accidents reduction. They rely heavily on advances in many Artificial Intelligence (AI) approaches and techniques. However, while some r
Externí odkaz:
http://arxiv.org/abs/1904.02697
Akademický článek
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Autor:
Fábio Polola Mamede, Roberto Fray da Silva, Irineu de Brito Junior, Hugo Tsugunobu Yoshida Yoshizaki, Celso Mitsuo Hino, Carlos Eduardo Cugnasca
Publikováno v:
Logistics, Vol 7, Iss 4, p 86 (2023)
Background: Transportation demand forecasting is an essential activity for logistics operators and carriers. It leverages business operation decisions, infrastructure, management, and resource planning activities. Since 2015, there has been an increa
Externí odkaz:
https://doaj.org/article/509873d4768c4f4598e36455ce93c835
Publikováno v:
IEEE Access, Vol 10, Pp 130733-130770 (2022)
The objective of this research is to present the state of the art of the safety assurance of Artificial Intelligence (AI)-based systems and guidelines on future correlated work. For this purpose, a Systematic Literature Review comprising 5090 peer-re
Externí odkaz:
https://doaj.org/article/e267c3104eb04793bc31cdb7a5014604
Autor:
David F. N. Oliveira, Lucio F. Vismari, Alexandre M. Nascimento, Jorge R. de Almeida, Paulo S. Cugnasca, Joao B. Camargo, Leandro Almeida, Rafael Gripp, Marcelo Neves
Publikováno v:
IEEE Access, Vol 10, Pp 1401-1409 (2022)
Despite the superior performance in modeling complex patterns to address challenging problems, the black-box nature of Deep Learning (DL) methods impose limitations to their application in real-world critical domains. The lack of a smooth manner for
Externí odkaz:
https://doaj.org/article/4aeec45dd4e04b509b89dd9a4e50482a
Akademický článek
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