In the era of big data, "knowledge" scope is expanded. To realize the optimization of supply chain collaborative innovation in the era of big data, the platform of the collection, analysis, mining and application of massive...
Domestic violence is an important public health issue, and there is limited research to date that examines community-level influences on this serious form of violence. This article investigates the neighborhood characteristics...
With the investigation and research of agricultural ecology situation, the pollution characteristics of livestock manure were indicated by the statistical analysis of data as well as the effect of livestock and poultry breeding...
Water resource is a major limitation of human survival and development. Water security assessment is an important task in the environmental protection and control of water. The solution to assess the grade of water security in...
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...
OECD identified 11 topics in Your Better Life Index (YBLI). YBLI is generally accepted as an essential indicator of material living conditions and quality of life. This study compared YBLI in two predominantly Chinese regions...
Machine learning is a broad field that contains multiple fields of discipline including mathematics, computer science, and data science. Some of the concepts, like deep neural networks, can be complicated and difficult to...
The risk assessment of liquefied natural gas (LNG) transportation routes has raised researchers' concerns in recent years, which is a group multi-criteria decision-making (GMCDM) problems that involves experts' opinions from...
Task-oriented dialogue systems aim to engage in interactive dialogue with people to ultimately complete specific tasks. Typical application domains include ticket booking, online shopping, and healthcare providing. Medical...
This research mainly discusses the design of online learning behavior feature mining method based on decision tree. Data collection is the real-time collection of online learning behavior data from distance learning websites....
Digital transformation contributes to enterprise supply chain resilience, but how to control the risks involved and whether this control contributes to supply chain resilience remains to be explored. This paper aims to clarify...
On the premise of guaranteeing the visual effect, in order to improve the security of the image containing digital watermarking and restore the carrier image without distortion, reversible data hiding in chaotic encryption...
Digital image smoothing filtering operations, including the average filtering, Gaussian filtering and median filtering are always used to beautify the forged images. The detection of these smoothing operations is important in...
Taking the influence of various factors on the teaching effect of moral and social courses of primary school students as the research content, a unified examination was conducted on third-grade students from 413 primary schools...
The article finds the main factors affecting women's continuance intention for mobile games, and analyze how and to what extent these factors affect women's continuance intention for mobile games in a research model. In this...
This paper discusses the definitions of open source software, free software and freeware, and the concept of big data. The authors then introduce R and Python as the two most popular open source statistical software (OSSS)....
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...
Entrepreneurship research is paying increasing attention to big data. However, there is only a fragmented understanding on how big data influences entrepreneurial activities. To review previous research systematically and...
Computing systems are becoming increasingly data-intensive because of the explosion of data and the needs for processing the data, and subsequently storage management is critical to application performance in such data-intensive...
Using Biber's MD model, this paper investigates the register variation in crisis translation and discovers that learned exposition is the text type that comes closest to crisis translation. Crisis translation has “explicit” and...
Digital technology has had changed the uncertain nature of the process of new venture idea generation, and it has also brought unprecedented opportunities for the generation of new digital venture ideas. To explore how startups...
This research mainly aims to explore the factors that influence users' continuous use of mobile libraries. The findings of this study will provide empirical evidence to help improve the service and information quality of mobile...
The factors that affect formation and dissemination of public opinion have been studied for a long time. However, the findings are disparate and fragmented, given the characteristics of netizens and new media in the Big Data...
The article finds the main factors affecting women's continuance intention for mobile games, and analyze how and to what extent these factors affect women's continuance intention for mobile games in a research model. In this...
This study aimed to explore factors affecting continual usage of one-stop smart urban apps, which is the key to realise the vision of smart cities. A questionnaire (involved a total of 578 users/citizens) was carried out to test...