Compared with traditional machine learning model, graph neural networks (GNNs) have distinct advantages in processing unstructured data. However, the vulnerability of GNNs cannot be ignored. Graph universal adversarial attack is...
Drawing on André Lefevere's rewriting theory, this paper endeavours to explore how Howard Goldblatt translates Mo Yan's novel Life and Death Are Wearing Me Out (hereafter referred to as L&D) with regard to patronage control by...
Empirical studies have shown that China's Air Pollution Prevention and Control Law (APPCL2000), as an environmental regulation, has significantly alleviated the air pollution problem and improved the TFP of air polluting...
Digital economy is a rapidly developing economic form under the background of the information age. This article introduces the construction and optimization of the green supply chain management model of agricultural enterprises...
With China's continuous opening to the outside world, changes in the international environment and the operation of the cross-border RMB settlement system (CIPS), the scale of cross-border RMB settlement has fluctuated...
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...
Under the background of "Internet +", the supply chain financial model and process have undergone profound changes. Firstly, through the social network analysis, the correlation between the participants in the Internet + supply...
In order to solve the problems of high cost and difficult management of traditional agricultural planting, internet of things (IoT) technology was applied to realize real-time detection and intelligent management of crop growth...
Users of wearable services are different in age, occupation, income, education, personality, values and lifestyle, which also determine their different consumption patterns. Therefore, for the trust of wearable services, the...
Recently, the rapid growth in the number of customer reviews on e-commence platforms and in the amount of user-generated content has begun to have a profound impact on customer purchasing decisions. To counter the negative...
Most evolutionary optimization algorithms have already been used for antenna design and shown promising results on improving the performance of the antenna. However, for many real-world antenna optimization problems, they are...
Media-aware stock movements are well acknowledged by the behavioral finance. As the soul of a firm, CEO’s media behavior is critical to the operation of a firm. CEO’s exposure could have captured the investors’ attention and...
Online education has long been suffering from high dropout rate and low achievement. However, both asynchronous and synchronous online instructions have to become effective to serve as a quick response to maintain undisrupted...
Although energy constraints, green technology innovation increment, and corporate profitability are issues of central importance to enterprise management and the environment, many aspects of these elements have been neglected in...
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...
Educators have been calling for reform for a decade. Recent technical breakthroughs have led to various improvements in the semantic web-based education system. After last year's COVID-19 outbreak, development quickened. Many...
This article reports on a study involving experienced university lecturers from mainland China reflecting on how to blend FutureLearn MOOCs into their existing English Language Teaching (ELT) curricula while on an ‘upskilling'...
This paper investigates impacts of market segmentation and showrooming effect on the decision-making of an O2O supply chain, and puts forwards a contract to coordinate the O2O supply chain. Results show that, the showrooming...
In previous studies of synthetic speech detection (SSD), the most widely used features are based on a linear power spectrum. Different from conventional methods, this article proposes a new feature extraction method for SSD from...
The electric network frequency (ENF) is recorded in the videos taken under the lights powered by grid and can be used for digital forensics. However, due to the lack of data caused by the low frame rate of the video, the...
Improving software development efficiency based on existing APIs is one of the hot researches in software engineering. Understanding and learning so many APIs in large software libraries is not easy and software developers...
The present study performs the bibliometric analysis of the social commerce (s-commerce) literature, highlights the major research themes, and suggests future research directions. The HistCite software has been used for...
Most of the traditional face modeling methods adopt the parameter-based method to construct, but the face model constructed by this method is too smooth and ignores the detailed features of the face. To solve this problem, a...
Document classification is a research topic aiming to predict the overall text sentiment polarity with the advent of deep neural networks. Various deep learning algorithms have been employed in the current studies to improve...
To overcome shortcomings when the ant colony optimization clustering algorithm (ACOC) deal with the clustering problem, this paper introduces a novel ant colony optimization clustering algorithm with chaos. The main idea of the...