To deal with global warming and energy shortage, nuclear power plants are constructed or planning to be constructed in China presently. The operation of a nuclear power plant consumes a great amount of water and discharges a lot...
To solve some problems of particle swarm optimization, such as the premature convergence and falling into a sub-optimal solution easily, we introduce the probability initialization strategy and genetic operator into the...
A novel method for integrating multi-omics data, including gene expression, copy number variation, DNA methylation, and miRNA data, is proposed to identify biomarkers of cancer prognosis. First, survival analysis was performed...
With the rapidly developing of the scientific research in the field of sports, big data analytics and information science are used to carry out technical and tactical statistical analysis of competition or training videos. The...
Although business and researchers acknowledge the importance of social media, little research has been conducted to explore what attracts people to follow brand Twitter accounts. This research attempts to achieve an analytical...
Studies that specifically discuss the formation of autonomous motivations of users of social networking services (SNSs) and how such motivation influences SNS user intention to disclose personal location-related information...
This research advances scholarly understanding of the strategic decisions regarding external communication during the critical period of product launch. Drawing on research about dynamic capabilities and external organizational...
In the multi-objective optimization algorithm, the parameter strategy has a huge impact on the performance of the algorithm, and it is difficult to set a set of parameters with excellent distribution and convergence performance...
The study aims to help enterprises to formulate a financial sustainable development strategy. A financial crisis forecast system based on deep learning (DL) is proposed to assist enterprises in checking their financial bills in...
To overcome the shortcomings of the standard particle swarm optimization algorithm (PSO), such as premature convergence and low precision, a dynamic multi-swarm PSO with global detection mechanism (DMS-PSO-GD) is proposed. In...
Although business and researchers acknowledge the importance of social media, little research has been conducted to explore what attracts people to follow brand Twitter accounts. This research attempts to achieve an analytical...
Through user characteristic information, user interaction behavior, commodity characteristic information, recommendation engine, and related technologies in data mining, this paper makes a more in-depth study, and analyzes the...
This paper expounds on the development prospects of SMEs and E-commerce finance, and illustrates the significance of developing online finance. It also introduces the commonly-used research methods of the two kinds of financial...
At present, the field of homeland security faces many obstacles while determining abnormal or suspicious entities within the huge set of data. Several approaches have been adopted from social network analysis and data mining;...
This article mainly studies the design and realization of English listening teaching system based on virtual environment technology. This paper designs and builds a virtual experimental operating platform to assist students in...
Through the cooperation with the Evergreen Education Foundation in the United States, the Tongwei rural library network has been set up and a cooperation service alliance between a public library and school libraries has been...
Rail guide vehicle (RGV) problems have the characteristics of fast running, stable performance, and high automation. RGV dynamic scheduling has a great impact on the working efficiency of an entire automated warehouse. However...
China actively broadens its channels for environmental protection and limits pollutant emissions through industrial structure adjustment and technical progress. Based on panel data of 30 provinces in China from 2003 to 2017...
In this paper, an angular graph Fourier transform (AGFT) is introduced to encrypt color images with their intrinsic structures. The graph Fourier transform (GFT) is extended to the AGFT and proven to have the desired properties...
The green transformation and upgrading of manufacturing enterprises cannot do without the support of green investment. The purpose of this study is to verify whether there is a correlation between the influencing factors of...
Prediction of stock price movement is regarded as a challenging task of financial time series prediction. Due to the complexity and massive financial market data, the research of deep learning approaches for predicting the...
Students can find numerous online resources and platforms for English vocabulary learning during COVID-19. However, most online vocabulary recollection research was concerned with general vocabulary retention, particularly the...
In view of the similarity of characteristics between the features of the disease images and the large dimension, and the features correlation of the disease images, this will lead to the generation of feature redundancy, and...
Superstar Learning System, designed and developed by Superstar Company, is a learning platform where teachers and learners may have access to plentiful educational resources and interact with each other. Behavioral intention...