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Chunyu Song, Xianku Zhang and Guoqing Zhang
This paper carries out marine vehicle maneuverability prediction based on nonlinear innovation. An improved Extended Kalman Filter (EKF) algorithm combined with a forgetting factor is developed by virtue of nonlinear innovation for ship maneuverability u...
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Tarek Berghout, Leïla-Hayet Mouss, Ouahab Kadri, Lotfi Saïdi and Mohamed Benbouzid
The efficient data investigation for fast and accurate remaining useful life prediction of aircraft engines can be considered as a very important task for maintenance operations. In this context, the key issue is how an appropriate investigation can be c...
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Guohui Wang, Yanan Yang and Shuxin Wang
Underwater thermal vehicles, as ocean observation tools, are frequently affected by environment disturbances such as waves and currents, which may cause degradation of the observation accuracy of the vehicles. Consequently, it is important to design a co...
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Diana Rodrigues, Bruno Sousa, Sofia Gomes, José Oliveira and Eunice Lopes
Human beings are strongly influenced by their emotions; so, it is believed that building a close relationship between consumers and brands is a key factor for success. In this way, car brands are no exception, and despite facing numerous challenges assoc...
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