This study investigates enhancing airfoil grid generation's automation and computational efficiency in aerospace engineering using reinforcement learning and Graph Convolutional Networks (GCNs). Traditional grid g...
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The Internet of Things (IOT) connects Tangible assets via data fusion facilitating information interchange. Ranging from basic temperature sensors to sophisticated industrial robots, IOT covers a wide range of applica...
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YouTube is one of the most widely used and technically advanced commercial systems of recommendations. It provides an overview of the system and highlights the remarkable gains in efficiency made possible by deep lear...
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The safety of the All-Electron missile safety system is an important link to ensure the accurate detonation of the fuze. This paper uses Markov theory to analyze and calculate the probability of accidental disarming o...
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The paper considers methods of increasing the Resilience of the network of synchronization systems, which ensures the improvement of the reliability of digital telecommunication and electric power networks under marti...
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Train derailment is a very complex dynamic process. Aiming at the problem that the current derailment evaluation factors are insufficient to fully study the wheel-rail contact mechanism, a derailment coefficient predi...
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The detection of traffic lights and zebra crossings holds significant importance for autonomous driving and ensuring pedestrian safety. Aiming at this issue, a Bagging ensemble learning-based algorithm is proposed in ...
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The coarse pointing assembly (CPA), as the outer loop of the laser terminal, its tracking stability is the basis for ensuring laser communication. This paper presents the model of the CPA. Aiming at the disturbance fa...
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As one of the important equipment of railway signaling system, ZPW-2000 track circuit is prone to failure due to environmental impact. Once a failure occurs, it will directly affect the safety of train operation. In o...
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Autonomous navigation in obstacle-rich indoor environments is crucial for both industrial and domestic robotic applications. A central aspect of this process is Simultaneous Localization and Mapping (SLAM). This paper...
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