In order to improve the ability to detect network attacks, traditional intrusion detection models often used convolutional neural networks to encode spatial information or recurrent neural networks to obtain temporal features of...
The information industry leads the digital revolution and innovation. With regards to what economic impact the development of the industry will bring about, there has been minimal focus from literature. This paper fills the...
Esports, or competitive gaming, has become a large market in the entertainment industry, with a total market value approaching $1 billion USD in 2019. An understanding of esports consumers has become increasingly important as...
Drawing on three theories; uses and gratification, social identity, and reasoned action, this study investigates the moderating role of type of participation and the sport fanaticism between brand community identification (BCI)...
Urban density, in the form of residents' and visitors' concentration, is long considered to foster diverse exchanges of interpersonal knowledge and skills, which are intrinsic to sustainable human settlements. However, with...
The purpose of the current study is to examine factors affecting corporate image driven by social networking fan pages on Facebook. Under the modified elaboration likelihood model (ELM), we answer how fan page contributor post...
Sports fans are known to engage in BIRGing, or basking in reflected glory after their team wins, and CORFing, cutting off reflected failure following a team loss. These phenomena are related to social identity theory, which...
This study examines the relationship between cognitive awareness and perceived knowledge of sports fans’ social media engagement behaviors. Data were collected through an online survey of 236 adults from India who identified as...
Football fans are consumers with special relationship with their favourite teams. Consumer-brand relationship is unique and ultimate in football context. However, the absence of these relationships is mainly due to a lack of...
The purposes are to predict exchange rate fluctuations more accurately and enhance Chinese enterprises’ ability to avoid exchange rate risks. Renminbi (RMB) exchange rate fluctuation’s prediction methods are studied based on...
Recently, a reversible data hiding (RDH) method was proposed based on local histogram shifting. This method selects the peak bin of the local histogram as a reference and expands the two neighboring bins of the peak bin to carry...
Interoperability in smart manufacturing refers to how interconnected cyber-physical components exchange information and interact. This is still an exploratory topic, and despite the increasing number of applications, many...
eSports is a rapidly growing phenomenon in competitive gaming. Expertise is an interesting topic to study in relation to eSports, as eSports athletes are considered among the most highly-skilled players of their particular...
In order to guarantee the power grid operation under the premise of reliability and stability, acquire relative economic investment and operating cost, and adaptable to all kinds of change flexibly, this article improves the...
Public opinion surveys over the past thirty years show that public opinion is split on the issue of global warming. One of the problems with “solicited” opinion polls is that the findings may be selectively interpreted in favour...
System dynamics models can produce knowledge for decision-makers and, consequently, provide better choices. To be effective in its purpose, a model must reproduce an observed problem situation effectively. Hence, the...
In an increasingly globalized world, social networks appear as an indispensable tool for sports clubs, as they make it easier for them to reach a large number of supporters. The main objective of this study is to measure the...
In this study, the authors propose a computational cognitive model for sign language (SL) perception and comprehension with detailed algorithmic descriptions based on cognitive functionalities in human language processing. The...
Asian rust is the main soybean disease in Brazil, causing up to 80% of yield reduction. The use of fungicides is the main form of control; however, due to farmer's concern with outbreaks many unnecessary applications are...
In the face of fierce competition, many peer-to-peer (P2P) lending platforms have introduced automated investment tools to serve customers better. Based on a large sample of data from PPdai.com, the authors studied the impact of...
The online banking service is the key element for the development of e-commerce and e-businesses. It provides users with convenient daily transaction services, such as wire transfer and online payment. Past studies on online...
In recent years, the sharing of cybersecurity threat intelligence (hereinafter referred to as threat intelligence) has received increasing attention from national network security management organizations and network security...
This study reviewed EC studies in China. A total of 1,982 journal articles published between 2001 and 2020 were collected from the Web of Science database. In addition, it referred to the Five-Year Plan for Economic and Social...
Watermark imperceptibility and robustness in the present watermarking algorithm based on discrete wavelet transform (DWT) could be weakened due to data truncation. To solve this problem, a strong robustness watermarking...