Shifting growth drivers and optimizing the economic structure is the only way to achieve high-quality development of China’s manufacturing sector. The digital economy can effectively improve the level of innovation and the efficiency of resource allocation, which is theoretically beneficial to enabling...

At present, China’s digital economy policy documents have a large number, rich topics and an increasingly large system. Traditional content analysis methodss have been difficult to achieve a large number of policy text mining and quantitative research. In this paper, we build a professional lexicon of...

In this paper, an evaluation index system of digital economy is constructed from the perspective of input-output, and the entropy weight TOPSIS method is used to comprehensively calculate the development level of digital economy in China’s provinces from 2015 to 2019. On this basis, BCC-DEA model and...

This paper examines the impact of digital transformation on labor productivity as firms drive digital transformation through the adoption of digital information technologies such as artificial intelligence, cloud computing, and big data, as well as the intermediate mechanisms and heterogeneity of this...

With the advent of Internet and information era, enterprises are facing more and more opportunities and challenges. In the fierce market competition environment, how to use advanced science and technology to improve their core competitiveness is a question that every enterprise needs to think about....

Forecasting stock prices in capital markets holds great significance for the economic development and social stability of a country, necessitating a robust predictive model. This study presents a comprehensive comparison between Long Short-Term Memory (LSTM) and Transformer neural network architectures...

Export resilience is an important foundation for firms’ trade growth and sustainable development, and a strong support for maintaining the global competitiveness of manufacturing industries. This paper explores the intrinsic relationship among digital inclusive finance (DIF), level of financing constraints,...

It is difficult for autonomous mobile robots to rely on a single positioning method to obtain accurate pose information in complex indoor environments, so the real-time pose of the robot is generally obtained through multi-source fusion positioning during navigation. However, in the fusion localization...

With the advent of the Internet era, the scale and application areas of the Internet are constantly developing, and the Internet has gradually been widely used in people’s daily life, economy, military, science and technology, education and other related fields, and its basic and global position and...

Social recommender systems have become ubiquitous in our online environment, but there are growing concerns that they narrow our horizons and polarize our opinions. This paper proposes a new recommendation algorithm, k-Surrounding Neighbors, based on the theory of weak ties, to increase the diversity...

To combine the advantages of VAEs and GANs to generate both diverse and high-quality samples, this paper proposes ED-VAEGAN which improves encoder and decoder loss of traditional feature-wise VAEGAN [4]. More precisely, a reconstruction score term is added to encoder loss function, which accelerates...

The digital transformation of the economy represents the general trend. In order to effectively control the investment risk of grid digitization projects and adopt risk-coping strategies with foresight, construct an investment risk evaluation model for grid digitization projects by optimizing the kernel...

As a representative technique of artificial intelligence, machine learning could explore the relationship between stock market anomalies and excess returns, and hence develop investment strategies with high performance. This paper provides a comparative analysis of machine learning algorithm applications...

The identification of power equipment using visible image and deep learning methods has become widespread in the power industry. However, current deep learning algorithms often face issues related to large model parameters and high hardware requirements, making it difficult to integrate them into mobile...

This paper examines the importance of crowd assets for the brand in the environment of changing FMCG consumer behavior and media. Based on the scientific analysis methodology for crowd assets of 5A model, this paper investigates the correlation and relevance of demographic behavior and consumer purchase...

This paper presents a study on the prediction of credit card user default using the CatBoost model. The dataset used in this study is a credit card dataset from a financial institution. The dataset contains information about the credit card users such as their age, gender, credit limit, and payment history....

The stock market can be defined as a market that, on the one hand, facilitates companies that need financing and, on the other hand, provides opportunities for investors who need to invest. By predicting the rise and fall of stock indices, it can bring guidance to individuals and companies when to enter...

A reasonable review of the development stages of the digital economy is of great significance to the coordinated development of the digital economy. This research establishes an evaluation index system for the development level of digital economy in Anhui Province, calculates the index weight by the...

This article will examine which factors influence consumer behaviour when they buy toy blind boxes in the digital age. Data collection of both the observation group and control group are extracted through the questionnaire, and qualitative analysis such as Cluster analysis and the Chi-square test is...

In this paper, a measurement system of digital economy and green technology innovation is constructed, baseline regression model and intermediary effect model are established to analyze the impacts between them. The empirical analysis is conducted by using data from 2008 to 2021 to explore the mechanism...

This study examines the impact of economic factors on local government transparency and proposes a prediction framework called AP-LSTM, which uses feature extraction and Apriori to select highly correlated economic factors as input for the LSTM-Attention network. The proposed method is validated using...

With the development of information science and technology, the digital economy has given the era a new direction. In 2014, the People’s Bank of China issued the first legal digital currency, the e-CNY. With the cumulative number of e-CNY transactions of about 264 million and the number of merchant stores...

This thesis focuses on exploring the impact of digital economy on the development of new rural e-commerce, based on the data of indicators of rural e-commerce development in Zhangzhou from 2017–2022, and analyzing and predicting the impact of digital economy on the incremental development of new rural...

This paper focuses on the significance of logistics digitalization and industry integration under the background of normalization of epidemic prevention, proposes a model of the current logistics digitalization and industry integration, and then takes an example to analyze the coupling and coordination...

The in-depth development and all-round expansion of digital economy has promoted China’s economic development and accelerated the process of urban-rural integration. This article selects panel data from 30 provinces in China from 2013 to 2020, establishes valuation index systems to measure the level...

In order to accurately evaluate the digital project of power grid enterprises, and the characteristics of existing research, a new combined evaluation model organically combines hierarchical analysis, entropy, radar map and support vector machine. First combine the empowerment, then integrate the decision...

By building a supply chain finance platform based on the Internet, informatizing and networking the financial chain business and realizing network-based supply chain business management with the help of information technology, it can greatly promote the efficiency of supply chain-related business management....

The inter-provincial panel data of China from 2015 to 2019 is used as the data source of this paper. Firstly, a comprehensive evaluation index system of digital economy is established, then the comprehensive development level of digital economy is calculated by entropy method. Secondly, this paper empirically...

Stock investment, as an investment behavior, faces various situations of unknown uncertainty, therefore, it is very important to reduce the unsystematic risk of stocks and eliminate uncertainty by various means and technical methods for investing in stocks. In this paper, we will use python and the data...

Gold and bitcoins as a typical liquid asset, gold and bitcoin as two types of investment options are favored by many investors in the market, but how to make a portfolio investment, the biggest return in the limited principal conditions, is a matter many investors are concerned about. Based on the historical...

Under the background of big data and cloud computing, computer network security is facing new security threats, and big data also provides a big data foundation for the application of artificial intelligence technology in computer network security detection system. This paper studies the application...

Contemporary, economic trading system has been greatly enhanced by utilizing digital economic transactions technique. However, existing trading platforms require workers to dispose numerous transaction data and operate the trading behaviour in benefit-maximum time point, which need experienced traders...

In recent years, pre-training models (PLMs) have made impressive progress, and prompt learning has made few-shot learning achievable. However, traditional prompt learning methods often require manual template design, or performance may be unstable due to the limited data in few-shot tasks. To address...

Haze weather negatively impacts the quality of external image collection and requires prompt resolution. However, most current deep learning image dehazing models struggle with restoring detail and color accuracy in real-world hazy images, hindering their practical application for high-quality image...

The stability and coordination of the regional sports industry can promote the rapid development of the economy. To study the current situation of the coordination development of the sports industry in the urban agglomeration in the Guanzhong region, this paper constructs an even and coordinated evaluation...

Big data technology, as one of the representative new technologies in the era of science and technology, is widely used in various fields. This paper focuses on the application of big data technology in the construction of convergence media, explains the main advantages of big data technology in detail,...

In order to meet the large demand of college students in mental health management, an interactive management system for college students’ mental health based on mobile devices is proposed. The system is developed based on Android platform, and realizes data interaction and information management through...

Recently, the utilization of big data for disposing the economic transactions has widely developed and achieve enormous benefits for all users. However, existing economic platforms are more concentrated on the effectiveness response and transaction amount, which ignores the legal and regulation issue...

The application and popularization of Internet information technology has influenced the development and reform of all walks of life. Based on the panel data of 85 economies from 2004 to 2019, this paper constructs a two-way fixed effect model and a panel threshold model to empirically test the role...

With the development of the Internet, the overall growth rate of China's traditional retail industry has shown a downward trend, most of the physical stores are experiencing operational difficulties. After the new retail model was proposed, some traditional retail industries gradually tried digital...

In order to solve the problem of personalized learning, a kind of data mining technology is proposed as a recommended application in the personalized curriculum of the vocational education learning platform. This paper uses data mining technology and learning analysis technology to build relevant models...

Like many deep learning models, graph neural networks (GNNs) are regarded as black boxes and lack interpretability. Therefore, it is difficult for GNNs to be fully trusted by humans to be applied to various life scenarios. Based on this problem, we propose a new interpretability method called LAExplainer,...

It is an objective need to actively respond to the aging population by embedding blockchain-based information technology and intelligent technology into the smart financial service system. It is an objective need to actively respond to the aging population by using blockchain-based information technology...

With the development of artificial intelligence, big data, IoT and other technologies, more and more data is generated and collected through traditional sensing devices or smart mobile devices. In order to improve the transmission efficiency and availability of data, the original data often needs to...

In view of the modern logistics transportation in the number of materials, miscellaneous types of the situation, the integrated material packing optimization platform of “front-end scanning data--algorithm optimization scheme--terminal output results” is proposed, which the spatial planning algorithm...

Artificial intelligence plays a pivotal role in global logistics and supply chain management. AI enables real-time optimization for routes and minimizes wastage while increasing delivery efficiency. Companies can leverage AI in logistics to optimize resources and be more efficient. Currently, the node...

The small size of MSMEs and the lack of collateralizable assets make it difficult for banks to reliably classify the credit ratings of MSMEs. This paper constructs an RFM model to accurately classify the credit rating of MSMEs, extracts the behavioural characteristics of enterprises, and uses the K-means...

This paper aims at building an intelligent financial personnel training system that matches the requirements of digital economy and enterprise transformation and upgrading, and uses Delphi method and hierarchical method to build an enterprise intelligent financial personnel competency model, which includes...

With the continuous improvement of the economic and social level in our country, the current economic development has shifted from high-speed growth to high-quality development, under the new social and economic conditions, there have been privatized and commercialization of public space in the cities,...

The metaverse is a new industry for the development of the digital economy and is in urgent need of technological innovation breakthroughs to promote a new round of development. AIGC technology, represented by ChatGPT, is permeable, diffuse and disruptive, and provides a new content supply paradigm for...

As a new type of economy, digital economy deeply combines digital technology and the real economy, taking digital technology as the core driving force. It can accelerate the upgrading of traditional industries and the birth of new industries. Under the catalyst of digital economy, metaverse will usher...

New retail fresh supermarket is an emerging supermarket service model in recent years, consumer behaviour is its focused problem. Affected by the COVID-19, panic buying of fresh food has become common, food waste and consumer dissatisfaction increased. In addition, many design deficiencies also influence...

With the development of Internet, the appearance of knowledge label technology brings new opportunities for personalized recommendation. Knowledge tag connects users with resources, describes the characteristics of resources and reflects users’ interests and preferences, which brings a vital data source...

Firstly, this paper analyzes the concept of VR technology and its application status in ceramic products, and then deeply analyzes the application advantages of VR technology in ceramic product design, including detailed discussion and planning on the repeatability of ceramic product design, breaking...

Digital economy is an industry of information production, circulation, consumption and value innovation by means of interconnection, which has become a significant trend of economic development in the 21st century. Based on digital technology, digital economy platform is an open online platform built...

In the Internet era, the “recommendation economy” has emerged. The purpose of this paper is tantamount to reveal the influence of various types of influences on consumers’ purchase behavior in recommendation platform. This study constructs a model of three major categories of influences on consumers’...

Financial Crisis Prediction (FCP) is an important initiative to prevent the outbreak of financial crisis in enterprises, which is significant to the safe operation and economic stability of enterprises. To improve the prediction accuracy of the occurrence of corporate financial crisis, a financial crisis...

The pharmaceutical manufacturing industry, as a strategic emerging industry based on technology support, has received more and more investors’ attention, especially after the outbreak of the new crown epidemic. However, its industry characteristics, such as a long R&D cycle, sizeable upfront investment,...

The relationship between stock prices and economic development is well-established, and the study of stock price prediction methods is crucial for gaining insights into the economy. This research aims to enhance the accuracy of stock price prediction by leveraging a combination of convolutional neural...