2022
DOI: 10.1007/s11036-022-02074-7
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Research on a Mobile Prediction Platform for Dynamic Changes in Athletic Performance Based on Screening Factors

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Cited by 2 publications
(2 citation statements)
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“…The second section of this issue includes seven papers, which focuses on the intelligent technologies and applications with mobile networks and metaverse, including traffic recognition, assistance systems, natural language processing, as well as intrusion detection [11][12][13][14][15][16][17]. In order to extract the time pattern of traffic flow fluctuation in terminal area and realize the macroscopic description of traffic flow in terminal area, a time pattern recognition method of traffic flow in terminal area is proposed in the sixth paper, "Time Pattern Recognition of Traffic Flow in Terminal Area based on Community Division", authored by Zhaoyue Zhang from the College of Air Traffic Management, Civil Aviation University of China, China.…”
Section: Intelligent Technologies and Applications In Meta Worldmentioning
confidence: 99%
“…The second section of this issue includes seven papers, which focuses on the intelligent technologies and applications with mobile networks and metaverse, including traffic recognition, assistance systems, natural language processing, as well as intrusion detection [11][12][13][14][15][16][17]. In order to extract the time pattern of traffic flow fluctuation in terminal area and realize the macroscopic description of traffic flow in terminal area, a time pattern recognition method of traffic flow in terminal area is proposed in the sixth paper, "Time Pattern Recognition of Traffic Flow in Terminal Area based on Community Division", authored by Zhaoyue Zhang from the College of Air Traffic Management, Civil Aviation University of China, China.…”
Section: Intelligent Technologies and Applications In Meta Worldmentioning
confidence: 99%
“…These datasets are inherently complex and multi-modal [ [12] , [13] , [14] ]. Consequently, the accurate identification of patterns and distinctive features within such multidimensional data poses a ubiquitous challenge in the realms of sports and data science [ [15] , [16] , [17] ].…”
Section: Introductionmentioning
confidence: 99%