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Arwa Alqarni and Atta Rahman
The World Health Organization (WHO) declared the outbreak of Coronavirus disease 2019 (COVID-19) a pandemic on 11 March 2020. The evolution of this pandemic has raised global health concerns, making people worry about how to protect themselves and their ...
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Yang Hu, Liangliang Gong, Xinyang Li, Hui Li, Ruoxin Zhang and Rentao Gu
When applying 5G network slicing technology, the operator?s network resources in the form of mutually isolated logical network slices provide specific service requirements and quality of service guarantees for smart grid communication services. In the fa...
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Tianhao Hou, Hongyan Xing, Xinyi Liang, Xin Su and Zenghui Wang
Marine sensors are highly vulnerable to illegal access network attacks. Moreover, the nation?s meteorological and hydrological information is at ever-increasing risk, which calls for a prompt and in depth analysis of the network behavior and traffic to d...
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Imad Janbain, Abderrahim Jardani, Julien Deloffre and Nicolas Massei
Water quality monitoring is essential for managing water resources and ensuring human and environmental health. However, obtaining reliable data can be challenging and costly, especially in complex systems such as estuaries. To address this problem, we p...
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Ye Yuan, Wang Wang, Guangze Wen, Zikun Zheng and Zhemin Zhuang
Product reviews provide crucial information for both consumers and businesses, offering insights needed before purchasing a product or service. However, existing sentiment analysis methods, especially for Chinese language, struggle to effectively capture...
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Zhangfang Hu, Libujie Chen, Yuan Luo and Jingfan Zhou
The proposed method in this study can be used in EEG emotion recognition and achieve better results.
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Weijie Ding, Jin Huang, Guanyu Shang, Xuexuan Wang, Baoqiang Li, Yunfei Li and Hourong Liu
Highly accurate trajectory prediction models can achieve route optimisation and save airspace resources, which is a crucial technology and research focus for the new generation of intelligent air traffic control. Aiming at the problems of inadequate extr...
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Apichat Chaweewanchon and Rujira Chaysiri
With the advances in time-series prediction, several recent developments in machine learning have shown that integrating prediction methods into portfolio selection is a great opportunity. In this paper, we propose a novel approach to portfolio formation...
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Yuzhi Zhang, Shumin Zhang, Bin Wang, Yang Liu, Weigang Bai and Xiaohong Shen
Orthogonal time frequency space (OTFS) is a novel two-dimensional (2D) modulation technique that provides reliable communications over time- and frequency-selective channels. In underwater acoustic (UWA) channel, the multi-path delay and Doppler shift ar...
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Jawaher Alghamdi, Yuqing Lin and Suhuai Luo
Efforts have been dedicated by researchers in the field of natural language processing (NLP) to detecting and combating fake news using an assortment of machine learning (ML) and deep learning (DL) techniques. In this paper, a review of the existing stud...
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