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Jacek G. Puchalski, Janusz D. Fidelus and Pawel Fotowicz
One of the fundamental challenges in analyzing wind turbine performance is the occurrence of torque creep under load and without load. This phenomenon significantly impacts the proper functioning of torque transducers, thus necessitating the utilization ...
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Kai Lu, Jing Liang, Mengnan Liu, Zhixiong Lu, Jinzhong Shi, Pengfei Xing and Lin Wang
Transmission efficiency is a key characteristic of Hydro-mechanical Continuously Variable Transmission (HMCVT), which is related to the performance of heavy-duty tractors. Predicting the HMCVT transmission efficiency is beneficial for the real-time adjus...
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Diya Wang, Yonglin Zhang, Lixin Wu, Yupeng Tai, Haibin Wang, Jun Wang, Fabrice Meriaudeau and Fan Yang
In recent years, the study of deep learning techniques for underwater acoustic channel estimation has gained widespread attention. However, existing neural network channel estimation methods often overfit to training dataset noise levels, leading to dimi...
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Massimiliano Pepe, Domenica Costantino and Vincenzo Saverio Alfio
The aim of the paper is to identify a suitable method for assessing the deformation of structures (buildings, bridges, walls, etc.) by means of topographic measurements of significant targets positioned on the infrastructure under consideration. In parti...
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Yadi Zhao, Lei Yan, Jian Wu and Ximing Song
To address the low level of intelligence and low utilization of logs in current rotary cutting equipment, this paper proposes a digital twin-based system for optimizing the rotary cutting of logs using a five-dimensional model of digital twins. The syste...
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Fangyuan Li, Zhenwei Guo, Peifeng Wu and Yunxuan Cui
This study proposes two curves that depict the vehicle?bridge contact force in a novel transportation system named AERORail, which is a lightweight cable-supported structure in which the rails and the prestressed cable form the load bearing system. Based...
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Xueting Ma, Congying Wang, Huaping Luo and Ganggang Guo
To enhance the accuracy of multispectral detection using unmanned aerial vehicles (UAVs), multispectral data of jujube fruit with different soluble solids content (SSC) and moisture content (MC) were obtained under different relative azimuth angles. Pred...
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Xin Zhao, Zeyi Zhao, Fengnian Zhao, Jiangfan Liu, Zhaoyang Li, Xingpeng Wang and Yang Gao
Accurate nitrogen fertilizer management determines the yield and quality of fruit trees, but there is a lack of multispectral UAV-based nitrogen fertilizer monitoring technology for orchards. Therefore, in this study, a field experiment was conducted by ...
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Jiangtao Ji, Xiaofei Wang, Hao Ma, Fengxun Zheng, Yi Shi, Hongwei Cui and Shaoshuai Zhao
Chlorophyll a and b content (Cab) and leaf area index (LAI) are two key parameters of crops, and their quantitative inversions are important for growth monitoring and the field management of wheat. However, due to the close correlation between the spectr...
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Jingming Wu, Tiecheng Bai and Xu Li
Chlorophyll content is highly susceptible to environmental changes, and monitoring these changes can be a crucial tool for optimizing crop management and providing a foundation for research in plant physiology and ecology. This is expected to deepen our ...
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