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Jiaqi Zhao, Ming Xu, Yunzhi Chen and Guoliang Xu
Nowdays, DNNs (Deep Neural Networks) are widely used in the field of DDoS attack detection. However, designing a good DNN architecture relies on the designer?s experience and requires considerable work. In this paper, a GA (genetic algorithm) is used to ...
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Xiaozhou Hu, Guoliang Chen, Rui Zhang, Mengxuan Xu, Ling Zhao, Hailong Tang, Jinlong Ni and Ming Zhou
Floret-opening time (FOT) refers to the time between florets opening and closing within a day, and is a crucial agricultural trait for reproductive development, thermal tolerance and hybrid breeding in rice. However, little is known about the genetic bas...
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Hongyuan Liu, Mingxing Zhu, Xiaojuan Li, Guoliang Dai, Qian Yin, Jing Liu and Chen Ling
At present, the interface shear test is mainly used to evaluate the anti-sliding performance of the new foundation base. However, the traditional interface shear test has certain limitations in simulating the load change during the construction process a...
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Jian Yu, Meng Zhou, Xin Wang, Guoliang Pu, Chengqi Cheng and Bo Chen
Forecasting the motion of surrounding vehicles is necessary for an autonomous driving system applied in complex traffic. Trajectory prediction helps vehicles make more sensible decisions, which provides vehicles with foresight. However, traditional model...
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Xuan Wang, Guoliang Chen, Mengyi Yang and Saizhou Jin
Currently, pedestrian dead reckoning (PDR) is widely used in indoor positioning. Since there are restrictions on a device?s pose in the procedure of using a smartphone to perform the PDR algorithm, this study proposes a novel heading estimation solution ...
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Shuang Li, Chengqi Cheng, Guoliang Pu and Bo Chen
With the increasing use and complexity of urban natural gas pipelines, the occurrence of accidents owing to leakage, fire, explosion, etc., has increased. Based on Quantitative Risk Analysis (QRA) models and Geographic Information System (GIS) technology...
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Yuntian Feng, Guoliang Wang, Zhipeng Liu, Runming Feng, Xiang Chen and Ning Tai
Aiming at the current problem that it is difficult to deal with an unknown radar emitter in the radar emitter identification process, we propose an unknown radar emitter identification method based on semi-supervised and transfer learning. Firstly, we co...
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