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Tarek Berghout, Mohamed-Djamel Mouss, Leïla-Hayet Mouss and Mohamed Benbouzid
Machine learning prognosis for condition monitoring of safety-critical systems, such as aircraft engines, continually faces challenges of data unavailability, complexity, and drift. Consequently, this paper overcomes these challenges by introducing adapt...
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Zhifeng Qi and Xiuting Sun
In complex and extreme environments, such as pipelines and polluted waters, gait programming has great significance for multibody segment locomotion robots. The earthworm-like locomotion robot is a representative multibody bionic robot, which has the cha...
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Mikhail Babenko, Anton Nazarov, Maxim Deryabin, Nikolay Kucherov, Andrei Tchernykh, Nguyen Viet Hung, Arutyun Avetisyan and Victor Toporkov
Error detection and correction codes based on redundant residue number systems are powerful tools to control and correct arithmetic processing and data transmission errors. Decoding the magnitude and location of a multiple error is a complex computationa...
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Azam Ahadi, Zahra Eidinejad, Reza Saadati and Donal O?Regan
We define a new control function to approximate a stochastic fractional Volterra IDE using the concept of modular-stability.
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Jiping An, Xinhong Li, Zhibin Zhang, Guohui Zhang, Wanxin Man, Gangxuan Hu and Junwei He
Space modular self-reconfigurable satellite (SMSRS) is a new type of satellite. The research on self-collision avoidance of SMSRS is important for its on-orbit safety but is not completely solved. This paper offers a new method for joint path planning fo...
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