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Cheng Chen, Xiangrui Zhang, Guo Wang, Feng Feng, Cong Sun and Qin He
The inherent complexity of large ships makes it challenging to evaluate ship designs systematically and scientifically. Knowledge-based expert systems can be reasonable solutions. However, this problem needs more rationality and better operability, espec...
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Yimin Mao, Liang Chen, Yaser A. Nanehkaran, Mohammad Azarafza and Reza Derakhshani
Artificial intelligence (AI) applications have introduced transformative possibilities within geohazard analysis, particularly concerning the assessment of rock slope instabilities. This study delves into the amalgamation of AI and empirical techniques t...
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Minxiao Wang, Ning Yang, Dulaj H. Gunasinghe and Ning Weng
Utilizing machine learning (ML)-based approaches for network intrusion detection systems (NIDSs) raises valid concerns due to the inherent susceptibility of current ML models to various threats. Of particular concern are two significant threats associate...
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Haochen Li, Haibing Chen, Chengpeng Tan, Zaiming Jiang and Xinyi Xu
Optimal entry flight of hypersonic vehicles requires achieving specific mission objectives under complex nonlinear flight dynamics constraints. The challenge lies in rapid generation of optimal or near-optimal flight trajectories with significant changes...
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Zhendong Cui, Depeng Du, Xiaoling Zhang and Qiao Yang
It is of great theoretical and practical significance to understand the inherent relationship and evolution patterns among various environmental factors in the oceans. In this study, we used scientific data obtained by the Tara Oceans Project to conduct ...
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