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Huiyuan Wang, Xiaojun Wu, Zirui Wang, Yukun Hao, Chengpeng Hao, Xinyi He and Qiao Hu
Dolphin signals are effective carriers for underwater covert detection and communication. However, the environmental and cost constraints terribly limit the amount of data available in dolphin signal datasets are often limited. Meanwhile, due to the low ...
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Ting Pan, Haibo Wang, Haiqing Si, Haibo Liu and Mengyue Xu
Fatigue can lead to sluggish responses, misjudgments, flight illusions and other problems for pilots, which could easily bring about serious flight accidents. In this paper, a wearable functional near-infrared spectroscopy (fNIRS) device was used to reco...
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Ki-Su Kim, June-Beom Lee, Myung-Il Roh, Ki-Min Han and Gap-Heon Lee
The path planning of a ship requires much information, and one of the essential factors is predicting the ocean environment. Ocean weather can generally be gathered from forecasting information provided by weather centers. However, these data are difficu...
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Fatemeh Noori, Hamid Kamangir, Scott A. King, Alaa Sheta, Mohammad Pashaei and Abbas SheikhMohammadZadeh
In urban planning and transportation management, the centrality characteristics of urban streets are vital measures to consider. Centrality can help in understanding the structural properties of dense traffic networks that affect both human life and acti...
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Jeongmin Lee, Younkyoung Yoon and Junseok Kwon
We propose a novel generative adversarial network for class-conditional data augmentation (i.e., GANDA) to mitigate data imbalance problems in image classification tasks. The proposed GANDA generates minority class data by exploiting majority class infor...
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Juying Dai, Jian Tang, Faming Shao, Shuzhan Huang and Yangyang Wang
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