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Luzhi Li, Yuhong Zhao, Jingyu Wang and Chuanting Zhang
Wireless traffic prediction is critical to the intelligent operation of cellular networks, such as load balancing, congestion control, value-added service promotion, etc. However, the BTS data in each region has certain differences and privacy, and centr...
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Yongli Tang, Deng Pan, Panke Qin and Liping Lv
Federal learning and privacy protection are inseparable. The participants in federated learning need to be the targets of privacy protection. On the other hand, federated learning can also be used as a tool for privacy attacks. Group signature is regarde...
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Brunna de Sousa Pereira Amorim, Anderson Almeida Firmino, Cláudio de Souza Baptista, Geraldo Braz Júnior, Anselmo Cardoso de Paiva and Francisco Edeverton de Almeida Júnior
Road accidents are a worldwide problem, affecting millions of people annually. One way to reduce such accidents is to predict risk areas and alert drivers. Advanced research has been carried out on identifying accident-influencing factors and potential h...
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A.S. Albychev,A.A. Chervyakov,E.V. Nikulchev
Pág. 116 - 122
The enhancement of Big Data, computer systems for data aggregation, distributed information systems determines the need to create new decision-making systems. Decision support systems at the federal level should not only increase the quantitative charact...
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Peng Xi, Xinglong Zhang, Lian Wang, Wenjuan Liu and Shaoliang Peng
Medical data contains multiple records of patient data that are important for subsequent treatment and future research. However, it needs to be stored and shared securely to protect the privacy of the data. Blockchain is widely used in the management of ...
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Viktor Uglev and Oleg Sychev
The article discusses the problem of visualization of complex multiparameter systems, defined by datasets on their structure, functional structure, and activity in the form of complex graphs and transition of traditional representation of the data acquir...
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Zaid Abdi Alkareem Alyasseri, Ali H. Al-Timemy, Ammar Kamal Abasi, Alexandru Lavric, Husam Jasim Mohammed, Hidenori Takahashi, Jose Arthur Milhomens Filho, Mauro Campos, Rossen M. Hazarbassanov and Siamak Yousefi
Machine learning models have recently provided great promise in diagnosis of several ophthalmic disorders, including keratoconus (KCN). Keratoconus, a noninflammatory ectatic corneal disorder characterized by progressive cornea thinning, is challenging t...
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Hafiz Suliman Munawar, Mohammad Mojtahedi, Ahmed W. A. Hammad, Michael J. Ostwald and S. Travis Waller
The Hawkesbury-Nepean Valley, Australia?s longest coastal catchment, is spanned by a river system of more than 470 km, that runs from Goulburn to Broken Bay, covering a total area of over 2.2 million hectares. This region has remained prone to flood even...
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Knut Lehre Seip and Dan Zhang
Previous studies have shown that the treasury yield curve, T, forecasts upcoming recessions when it obtains a negative value. In this paper, we try to improve the yield curve model while keeping its parsimony. First, we show that adding the federal funds...
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Svetlana Nikolaevna Vachkova, Elena Yurevna Petryaeva, Roman B. Kupriyanov and Ruslan S. Suleymanov
The transition to digital society is characterised by the development of new methods and tools for big data processing. New technologies have a substantial impact on the education sector. The article represents the results of applying big data to analyse...
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