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Hsin-Yu Chen, Zoran Vojinovic, Weicheng Lo and Jhe-Wei Lee
The development of civilization and the preservation of environmental ecosystems are strongly dependent on water resources. Typically, an insufficient supply of surface water resources for domestic, industrial, and agricultural needs is supplemented with...
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Rong Zhen, Yingdong Ye, Xinqiang Chen and Liangkun Xu
Aiming at the problem of high-precision detection of AtoN (Aids to Navigation, AtoN) in the complex inland river environment, in the absence of sufficient AtoN image types to train classifiers, this paper proposes an automatic AtoN detection algorithm Ai...
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Jian Xu, Xiaowen Zhou, Chaolin Han, Bing Dong and Hongwei Li
Accurate translation of aerial imagery to maps is a direction of great value and challenge in mapping, a method of generating maps that does not require using vector data as traditional mapping methods do. The tremendous progress made in recent years in ...
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Guangchao Yang, Jigang Zhang, Zhehao Ma and Weixiao Xu
The steel tube-reinforced concrete (STRC) shear wall plays an important role in the seismic design of high-rise building structures. Due to the synergistic collaboration between steel tubes and concrete, they effectively enhance the ductility and energy ...
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Beipo Su, Yongfeng Ju and Liang Dai
Video application is a research hotspot in cooperative vehicle-infrastructure systems (CVIS) which is greatly related to traffic safety and the quality of user experience. Dealing with large datasets of feedback from complex environments is a challenge w...
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Lingzhi Deng, Yuqiang Cheng and Yehui Shi
The development of health monitoring technology for liquid rocket engines (LREs) can effectively improve the safety and reliability of launch vehicles, which has important theoretical and engineering significance. Therefore, we propose a fault detection ...
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Haoriqin Wang, Huarui Wu, Huaji Zhu, Yisheng Miao, Qinghu Wang, Shicheng Qiao, Haiyan Zhao, Cheng Chen and Jingjian Zhang
Rice has a wide planting area as one of the essential food crops in China. The problem of diseases and pests in rice production has always been one of the main factors affecting its quality and yield. It is essential to provide treatment methods and mean...
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Song-Hee Kang, Youngjin Choi and Jae Young Choi
In this paper, we propose a novel deep generative inpainting network (GIN) trained under the framework of generative adversarial learning, which is optimized for the restoration of cloud-disturbed satellite sea surface temperature (SST) imagery. The prop...
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Hyeon Kang, Jang-Sik Park, Kook Cho and Do-Young Kang
Conventional data augmentation (DA) techniques, which have been used to improve the performance of predictive models with a lack of balanced training data sets, entail an effort to define the proper repeating operation (e.g., rotation and mirroring) acco...
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Fabian Ariel Salum,Karina Garcia Coleta,Dalila Pereira Rodrigues,Humberto Elias Garcia Lopes
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