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Assessment and analysis of accents in air traffic control speech: a fusion of deep learning and information theory [PDF]
Frontiers in NeuroroboticsIntroductionEnhancing the generalization and reliability of speech recognition models in the field of air traffic control (ATC) is a challenging task. This is due to the limited storage, difficulty in acquisition, and high labeling costs of ATC speech ...
Weijun Pan +4 more
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Optimizing Subway Train Operation With Hierarchical Adaptive Control Approach
IEEE Access, 2023 The proportional integral derivative (PID) method is widely used in industrial control applications. However, when applied to complex and dynamic train operation control systems, real-time parameter adjustment becomes a formidable challenge.
Gaoyun Cheng +6 more
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A Joint Optimization Method for Cooperative Detection Resources Based on Channel Capacity
International Journal of Aerospace Engineering, 2022 Aiming at the resource optimization problem in the cooperative detection task, the objective function is constructed based on the channel capacity, and the artificial bee colony (ABC) algorithm is improved to realize the joint optimization of the UAV ...
Wenda Yang +3 more
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Conflict Resolution Strategy Based on Flight Conflict Network Optimal Dominating Set
International Journal of Aerospace Engineering, 2022 Aiming at the problem that the air traffic flow is increasing year by year and the flight conflicts are difficult to be deployed, we take aircraft as the node and established a flight conflict network based on the flight conflict relationship between ...
Minggong Wu +4 more
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Nature, 2004 Red blood cell vasodilation: nitric oxide and haemoglobin help to match blood flow to metabolic demand.
David J, Singel, Jonathan S, Stamler
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Deep Reinforcement Learning for UAV Intelligent Mission Planning
Complexity, 2022 Rapid and precise air operation mission planning is a key technology in unmanned aerial vehicles (UAVs) autonomous combat in battles. In this paper, an end-to-end UAV intelligent mission planning method based on deep reinforcement learning (DRL) is ...
Longfei Yue +4 more
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Research on airspace sector optimization based on Voronoi diagram and improved K-means algorithm
Xibei Gongye Daxue Xuebao, 2023 Sector partition is an important task of air traffic control, and a reasonable sector partition can improve the utilization rate of airspace and protect the flight safety of aircrafts.
LIN Fugen +3 more
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A hierarchical reinforcement learning method for missile evasion and guidance
Scientific Reports, 2022 This paper proposes an algorithm for missile manoeuvring based on a hierarchical proximal policy optimization (PPO) reinforcement learning algorithm, which enables a missile to guide to a target and evade an interceptor at the same time.
Mengda Yan +4 more
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Complexity, 2022 Optimal strategy, one of the main transit assignment models, can better demonstrate the flexibility for passengers using routes in a transit network.
Kai Lu, Nan Cao
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Investigation of Control Method for Connected-Automated Vehicle to Multiplex Dedicated Bus Lane
Journal of Advanced Transportation, 2021 Dedicated bus lanes (DBLs) have been widely utilized to ensure public transport priority. To improve overall road efficiency, various control methods of multiplexing DBL are developed and discussed.
Wei-Jie Xiu +4 more
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