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Shuangying Yu, Liu Hu, Yiqing Liu and Xiaodong Cai
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Min Tang, Rui Liu, Hongchen Li, Xiaodong Gao, Pute Wu and Chao Zhang
The implementation of the ?Returning Farmland to Forest? project in the loess hilly region of China has led to the establishment of large-scale economic forests, which have become the dominant industry driving local economic development. However, the reg...
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Shuai Wang, Xiaodong Zhao, Wenhang Liu, Jianqiang Du, Dongxu Zhao and Zhihong Yu
During the crop harvesting process, it is important to obtain the crop yield quickly, accurately and in real time to accelerate the development of smart agriculture. This paper investigated a denoising method applicable to the impact-type sunflower yield...
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Nadir Abbas, Zeshan Abbas, Xiaodong Liu, Saad Saleem Khan, Eric Deale Foster and Stephen Larkin
This article presents a survey of unmanned aerial vehicle (UAV) applications in smart cities, emphasizing integration challenges. Smart cities leverage innovative technologies, including the Internet of Things (IoT) and UAVs, to enhance residents? qualit...
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Yuhai Yang, Xiaodong Liu and Wei Lu
This study is concerned with the imperfect virtual-reality mapping relationship in cyber?physical systems (CPSs) and the challenge faced in knowledge-based decisions. Regarding those problems, a double-layer mapping Petri net (DMPN) model is proposed. By...
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Nadir Abbas, Zeshan Abbas and Xiaodong Liu
The rapid expansion of the Internet and communication technologies is leading to significant changes in both society and the economy. This development is driving the evolution of smart cities, which utilize cutting-edge technologies and data analysis to ...
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Lingfeng Zhong, Rui Liu, Xiaodong Miao, Yufeng Chen, Songhong Li and Haocheng Ji
Compressors are important components in various power systems in the field of energy and power. In practical applications, compressors often operate under non-design conditions. Therefore, accurate calculation on performance under various operating condi...
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Xin Wang, Yi Li, Yaxi Xu, Xiaodong Liu, Tao Zheng and Bo Zheng
Data-driven Remaining Useful Life (RUL) prediction is one of the core technologies of Prognostics and Health Management (PHM). Committed to improving the accuracy of RUL prediction for aero-engines, this paper proposes a model that is entirely based on t...
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Jun Long, Shimin Wu, Xiaodong Han, Yunbo Wang and Limin Liu
The increasing number of satellites for specific space tasks makes it difficult for traditional satellite task planning that relies on ground station planning and on-board execution to fully exploit the overall effectiveness of satellites. Meanwhile, the...
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Xiaori Gao, Lidong Wang, Zeyu Wu and Xiaodong Liu
The steady turning motion of merchant ships is modeled according to industry specifications. However, challenges arise when motorboats are modeled. This study proposes a novel data-driven multi-block fuzzy cognitive map (FCM) model trained based on sea t...
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