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Shun Wang, Jiayan Wang, Zhikang Xu, Ji Wang, Rui Li and Jinliang Dai
The application of titanium alloy in shipbuilding can reduce ship weight and carbon emissions. To solve the problem of titanium alloy forming, the deformation prediction of titanium alloy line heating based on a backpropagation (BP) neural network and sp...
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Yang Liu, Qiang Zhang, Longjin Wang, Shun An, Yan He, Zhimin Fan and Fang Deng
This paper investigates the problem of real-time parameter identification for ship maneuvering parameters and wave peak frequency in an ocean environment. Based on the idea of Euler discretion, a combined model of ship maneuvering and wave peak frequency...
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Shun Zou, Chumin Huang, Yang Chen, Xiaolong Bai, Wangjun Li and Bin He
Nitrogen (N) and phosphorus (P) play crucial roles in tea planting, but information on how the long-term excessive application of chemical N fertilizer affected N and P in subtropical tea plantations remains limited. In this study, soil and leaf samples ...
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Shun-Fa Hwang, Yi-Chen Tsai, Cho-Liang Tsai, Chih-Hsian Wang and Hsien-Kuang Liu
A finite element simulation was utilized in this work to analyze the thermoforming process of woven carbon fiber fabric/polyurethane thermoplastic composite sheets. In the simulation that may be classified as a discrete method, the woven carbon fiber fab...
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Che-Hao Chang, Jason Lin, Jia-Wei Chang, Yu-Shun Huang, Ming-Hsin Lai and Yen-Jen Chang
Recently, data-driven approaches have become the dominant solution for prediction problems in agricultural industries. Several deep learning models have been applied to crop yield prediction in smart farming. In this paper, we proposed an efficient hybri...
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Xinyi Guan and Shun Long
The exponential growth of social media text information presents a challenging issue in terms of retrieving valuable information efficiently. Utilizing deep learning models, we can automatically generate keywords that express core content and topics of s...
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Bin Zhang, Hongyi Lu, Shun Liu, Yucheng Yang and Doudou Sang
Multi-stage disc rotor assembly is an important part of the aero-engine rotor manufacturing process. To solve the problem that excessive unbalance of assembly affects the vibration of the whole machine, this paper presents an optimization method for aero...
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Shun Liu, Hongyi Lu, Bin Zhang, Yucheng Yang and Doudou Sang
The presence of the erosive burning effect during the operation of a solid rocket motor (SRM) is one of the most important factors affecting the proper operation of the motor. To solve the effects of the operating process of the motor under erosive burni...
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Jung-Shun Chen, Shou-Yen Chao and Ching-Che Chen
With the rapid progress in data mining, deep learning, and artificial intelligence, the demand for datacenters of various sizes increases globally. Datacenters typically require an environment with properly controlled temperature and humidity conditions ...
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Shun Chen, Xinwei Zhang, Chunxia Jiang, Kechuan Yi, Qingqing Wang, Xuemeng Sha and Xiaolong Zhang
Aiming to address the problems of low working efficiency and high damage rate of high and low roller peeling equipment in the process of fresh corn harvesting in China, this paper theoretically analyzes the mechanical motion process between the peeling d...
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