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Langfu Cui, Chaoqi Zhang, Qingzhen Zhang, Junle Wang, Yixuan Wang, Yan Shi, Cong Lin and Yang Jin
There are some problems such as uncertain thresholds, high dimension of monitoring parameters and unclear parameter relationships in the anomaly detection of aero-engine gas path. These problems make it difficult for the high accuracy of anomaly detectio...
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Xingyu Liu, Chao Yan, Han Zhou, Yuan Chang, Xiaojia Xiang and Dengqing Tang
Flocking navigation and obstacle avoidance in complex environments remain challenging for multiple unmanned aerial vehicle (multi-UAV) systems, especially when only one UAV (termed as information UAV) knows the predetermined path and the communication ra...
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Tharindu C. Dodanwala, Pooja Shrestha, Djoen San Santoso
Demographic variables play a vital role in determining stress occurring from workplace demands. Role conflict is a major workplace demand, specifically in the context of construction. However, the way demographic variables influence the stress occurring ...
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Hyejeong Ryu
An efficient, hierarchical, two-dimensional (2D) path-planning method for large complex environments is presented in this paper. For mobile robots moving in 2D environments, conventional path-planning algorithms employ single-layered maps; the proposed a...
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Yushan Sun, Xiangrui Ran, Guocheng Zhang, Hao Xu and Xiangbin Wang
This study proposed the 3D path planning of an autonomous underwater vehicle (AUV) by using the hierarchical deep Q network (HDQN) combined with the prioritized experience replay. The path planning task was divided into three layers, which realized the d...
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