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Hairuilong Zhang, Yangsong Gu and Lee D. Han
Intelligent transportation systems (ITSs) usually require monitoring of massive road networks and gathering traffic data at a high spatial and temporal resolution. This leads to the accumulation of substantial data volumes, necessitating the development ...
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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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Guilin Liu, Jingyi Yin, Shichun Song, Wenjin Yang, Yuhang Tian, Liping Wang and Yu Xu
In the context of the increasing frequency and intensity of natural disasters, assessing the risk of typhoon disasters can provide significant assistance for risk control and emergency management of typhoon disasters. In this paper, based on the three-di...
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Haichao Chang, Chengjun Wang, Zuyuan Liu, Baiwei Feng, Chengsheng Zhan and Xide Cheng
Hull form optimization becomes prone to the curse of dimensionality as the number of design variables increases. The traditional sensitivity analysis method requires massive computational fluid dynamics (CFD) computations and analyzing the effects of all...
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Hye-Jin Lee, Yongjin Kwon and Sun-Young Ihm
In this paper, we propose the duality-based image sequence matching method, which is called Dual-ISM, a subsequence matching method for searching for similar images. We first extract feature points from the given image data and configure the feature vect...
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