Wang Sifeng

Wang Sifeng
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Wang verified their affiliation via an institutional email.
Verified
Wang verified their affiliation via an institutional email.
  • Bachelor of Applied Science
  • Professor (Assistant) at Qufu Normal University

About

17
Publications
1,729
Reads
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65
Citations
Introduction
Skills and Expertise
Current institution
Qufu Normal University
Current position
  • Professor (Assistant)

Publications

Publications (17)
Article
Full-text available
With the widely-adopted idea of health and longevity, sports have been becoming one of the most popular entertainment ways of the public. For the majority of sports, players need to know about their concrete physical conditions in a real time manner so as to pursue a good sport score or ranking in a competition or a race. Generally, we can achieve...
Article
Full-text available
In the edge environment, the multiobjective evolutionary algorithm based on decomposition (MOEA/D) has been widely used in the research of multitarget firepower resource allocation. However, as the MOEA/D algorithm uses a fixed neighborhood update mechanism, it is impossible to rationally allocate computing resources based on the difficulty of each...
Article
Full-text available
Typically, through monitoring, collecting, integrating and analyzing the sport scores of individuals, we can know about the sport physique of the individuals in a real-time manner, so as to further guarantee a high-quality health level of people. However, in the abovementioned sport scores-based sport physique monitoring scenario, two major challen...
Article
Full-text available
With the continuous developments of real estates and the increasing personalization of people, more and more house owners are willing to search for and discover their preferred decorative art patterns via various house decoration cases sharing websites or platforms. Through browsing and analyzing existing house decoration cases on the Web, a new ho...
Article
Full-text available
With significant development of sensors and Internet of things, researchers nowadays can easily know what happens in physical space by acquiring time-varying values of various factors. Essentially, growing data category and size greatly contribute to solve problems happened in physical space. In this paper, we aim to solve a complex problem that af...
Article
Full-text available
Recommender system has received tremendous attention and has been studied by scholars in recent years due to its wide applications in different domains. With the in-depth study and application of deep learning algorithms, deep neural network is gradually used in recommender systems. The success of modern recommender system mainly depends on the und...
Conference Paper
The capability of edge detection using LoG operator is analyzed in this paper and the paper proposes the deficiency of the LoG operator in the practical application. In order to avoid the defects of the LoG operator, the paper based on the date of experimentation and the Matlab software elicits the relation between the entropy of the gray level co-...

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