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Internet banking has become one of the most profitable e-commerce applications in the last decades by providing advantages for both customers and the bank. However, there is still a large group of customers refusing to use this service. So it is necessary to explore the reasons that influence customer acceptance of Internet banking service. Based on the TAM, this study integrates trust perception...
Even though internet banking service provides advantages for both customers and the bank, there is still a large group of customers refusing to use this service. So there is a need to identify the factors that determine customer acceptance of Internet banking service. This study based on the TAM, integrating trust perception and perceived risk to predict the user intention. And this study extended...
The accurate prediction of cyberspace situation is fundamental to intrusion prevention in large scale networks. After analyzing the cyberspace situation, a cyberspace situation prediction model based on gene expression programming (GEP-CSP) is proposed, to predict the time series of cyberspace situation. Besides, since its own intrinsic characteristics, GEP-CSP solves the problem that the traditional...
Data aggregation has been emerged as a basic approach in wireless sensor networks (WSNs) in order to reduce the number of transmissions of sensor nodes. In this paper, we propose an energy-efficient model based on improved BP neural network by particle swarm optimization (PSO-BPNN) in WSNs. The global optimized initial weights and threshold of BP network are obtained by PSO. And then PSO-BPNN is deployed...
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