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Raz Lapid, Zvika Haramaty and Moshe Sipper
Deep neural networks (DNNs) are sensitive to adversarial data in a variety of scenarios, including the black-box scenario, where the attacker is only allowed to query the trained model and receive an output. Existing black-box methods for creating advers...
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Pu Yang, Zhiqing Zhang, Huiling Geng, Bin Jiang and Xukai Hu
This paper introduces a novel intelligent sliding mode predictive fault-tolerant control method based on the Dynamic Information Exchange Coyote Optimization Algorithm (DIECOA), which is applied to a quad-rotor UAV system with multi-delay and sensor faul...
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Noha Abdel-Mottaleb, Payman Ghasemi Saghand, Mathews J. Wakhungu, Hadi Charkhgard, E. Christian Wells and Qiong Zhang
Isolation valves are critical for the reliable functioning of water distribution networks (WDNs). However, it is challenging for utilities to prioritize valve rehabilitation and replacement given it is often unclear if certain valves are operable in a gi...
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Zian Xu and Minshui Huang
Bridge expansion and contraction installation (BECI) has proved to be an essential component of the bridge structure due to its stability, comfort, and durability benefits. At present, traditional replacement technologies for modular type, comb plate typ...
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Deshen Chen, Yan Zhang, Hongliang Qian, Kai Zhang and Huajie Wang
The cable-net structure of a giant active reflector is a structure with large deformations. The effective form analysis approach can help the active reflector to achieve high surface accuracy. In this paper, a new nonlinear numerical form analysis approa...
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