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Yongtao Lyu, Yibiao Niu, Tao He, Limin Shu, Michael Zhuravkov and Shutao Zhou
In this paper, a new method using the backpropagation (BP) neural network combined with the improved genetic algorithm (GA) is proposed for the inverse design of thin-walled reinforced structures. The BP neural network model is used to establish the mapp...
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Ningning Liu, Danfeng Xie, Changlong Wang and Yun Bai
Scholars have paid considerable attention to the factors that affect the safety states of construction workers. However, only a few studies have focused on the safety assessment and security alerts of individual workers. In this study, the term ?frequenc...
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Mingyu Zhang, Fei Gao, Wuping Yang and Haoran Zhang
In this paper, we propose a wildlife detection algorithm based on improved YOLOv5s by combining six real wildlife images of different sizes and forms as datasets. Firstly, we use the RepVGG model to simplify the network structure that integrates the idea...
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Rong Zhou, Zhisheng Zhang and Yuan Wang
Deep reinforcement learning is one of the research hotspots in artificial intelligence and has been successfully applied in many research areas; however, the low training efficiency and high demand for samples are problems that limit the application. Ins...
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Muhammad Rifqi Maarif, R. Faiz Listyanda, Yong-Shin Kang and Muhammad Syafrudin
The analysis of influential machine parameters can be useful to plan and design a plastic injection molding process. However, current research in parameter analysis is mostly based on computer-aided engineering (CAE) or simulation which have been demonst...
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