All of the articles in this proceedings volume have been presented at the 3rd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2024) during April 19-21, 2024 in Bangkok, Thailand. These articles have been peer reviewed by the members of the Scientific Committees...

Electric vehicles (EVs) are an significant instrument for clean substitution in China’s transportation due to their low-carbon emission characteristics. Analyzing EVs’ development trend requires developing an evaluation system. This paper proposes an evaluation index system that takes into account the...

This essay is discussing integration of ChatGPT into a role-playing game (RPG). Currently, students are having a large workload on their study. However, this may lead to them to lose their interests. To improve effectiveness, we designed an educational purposed role-playing game and add ChatGPT into...

The comprehensive promotion of China’s intelligent strategy has provided a huge development opportunity for the digital transformation of enterprises. However, due to the influence of factors such as market environment, industry characteristics and digital foundation, there are large differences in the...

Portfolio management issues have been extensively studied in the field of artificial intelligence in recent years, but existing deep learning-based quantitative trading methods have some areas where they could be improved. First of all, the prediction mode of stocks is singular; often, only one trading...

In various stages of cigarette production, abnormal data is often generated, directly or indirectly impacting product quality and output. Previous studies relied on tobacco warning systems to monitor and alert on data exceeding set thresholds, reducing production losses caused by abnormal data. However,...

Digital economy, as a more advanced and sustainable new economic form after the agricultural economy and industrial economy, is not only an important factor affecting China’s and even the global economic development in the present and the future, but also a key weight in constructing a new pattern of...

Aiming at the shortcomings of the current paper shelf label, such as low efficiency of manual replacement, untimely information updating, and complicated management, this paper proposes an electronic shelf label system based on electrophoretic display technology, which is combined with Zigbee gateway...

In order to solve the problems of backward management level, lack of professional and technical personnel, high effluent quality requirements and equipment operation and maintenance management of traditional water supply production enterprises, it is necessary to study a set of operation and maintenance...

With the increasing scale of foundation pit engineering, construction constraints are becoming more and more complex, under this background, it is urgent to carry out automatic monitoring and safety control of foundation pit Taking Tagang Village foundation pit project in Zengcheng District of Guangzhou...

The use of artificial intelligence technology can bring economic benefits to intelligent manufacturing enterprises. However, it can also lead to changes in the human capital structure of these enterprises due to the substitution and complementary collaboration of artificial intelligence with human work....

Building Information Model (BIM) provides a detailed description of various information throughout the lifecycle of a micro building, but it lacks the expression of macro geographical scene and has insufficient spatial analysis capability, while 3D Geographic Information Systems (GIS) focuses on describing...

Addressing the issue of overwhelming information on cloud-based manufacturing service platforms due to an excessive volume of service-related data, a manufacturing service recommendation method based on Product-based Neural Network (PNN) is proposed, which successfully solved the shortcomings of traditional...

Large language model has become one of the hot research contents in the field of artificial intelligence due to its excellent ability in natural language processing tasks. However, large language models usually have the disadvantages of over-reliance on surface statistical information and lack of deep...

Drawing upon the Stimulus-Organism-Response (SOR) theory, this investigation delineates TikTok (Douyin) live shopping’s attributes into visual appeal, professionalism, price competitiveness, and sense of presence. A theoretical model is developed to scrutinize these attributes’ impact on consumer purchase...

Illegal wildlife trade is a persistent global issue that threatens biodiversity and ecological stability. Addressing this challenge requires innovative approaches, including leveraging big data for management solutions. This paper conducts a comprehensive evaluation and analysis of a management project...

Exploring the optimization strategies of natural resource-based attractions from the Perspective of tourist experience, It is of great significance to enhance the quality of tourists’ experience and promote the sustainable development of scenic spots. The article takes Huangguoshu Waterfall as the case...

With the rapid development of artificial intelligence technology, its application in multiple fields has achieved significant results. However, at the same time, the ethical issues of artificial intelligence have become increasingly prominent, especially the problem of technology abuse, which has brought...

We investigated the hotspots and research trends of foreign strength training to provide a reference for the practice of strength training in China. Methods: Cite Space and VOSviewer software was used to visualize and analyze the research hotspots and cutting-edge areas of 4827 foreign papers in the...

Nowadays, the stock trading market is expanding day by day due to economic globalization, and the stock trading data is increasing day by day. How to use more effective methods to select high quality stocks from numerous stock data has become an increasingly concerned issue for shareholders. Time series...

Since the initiation of one belt one road was firstly proposed by China, it have attracted worldwide attention. International energy cooperation is critical in this initiation. Myanmar occupies a unique geographical advantage among the countries along the belt one road, and the construction of power...

Process manufacturing enterprises usually adopt KPI (Key Performance Indicator) or OKR (Objectives and Key Results) methods to assess the performance of employees. The collection of assessment indicators is difficult and complex, and it is difficult to meet the requirements of objectivity, accuracy and...

In 2023, in order to accelerate the digital transformation of enterprises, A Provincial Power Company selected 12 units (3 city level units, 4 county-level units, and 5 power supply station level units) to carry out digital demonstration work. At the end of the year, 3 excellent units (1 each at the...

In response to issues such as incomplete indicators and unreasonable subjective and objective weight settings in the existing enterprise digital transformation effectiveness evaluation model, a digital transformation effectiveness evaluation model for power grid enterprises is proposed. Considering the...

This article presents the development and implementation of a Smart Credit Card Marketing Platform (SCMP) at Bank N, aimed at revolutionizing its credit card marketing strategies. Leveraging Marketing Technology (MARTECH), the SCMP integrates data analytics, artificial intelligence, and visual data representation...

The global wildlife trade is a massive industry, with over 36,000 protected species and profits exceeding $20 billion. While this trade brings huge profits to those involved, it also increases the risk of zoonotic diseases. To analyse the wildlife trade, we used the CITES trade database, which contains...

Artificial Intelligence (AI) technology, which was out of reach in today’s society, has become commonplace, and chatbots are commonly used in a variety of industries. This paper describes the development of chatbots and their market potential. It describes the scenarios and innovations of three representative...

This study delves into the evolving demands on e-commerce talent in the “mass entrepreneurship and innovation” era, focusing on the synergy between academia and industry through internet-driven practices. It analyses e-commerce trends and the impact of internet technologies on required skills, proposing...

Preventing and mitigating commercial bank risks is an important part of promoting the high-quality development of the financial industry. Whether and how the digital transformation of banks mitigates their risk level has important research value. This paper takes the sample of commercial banks from 2011...

With the continuous development of local tourism big data and artificial intelligence technology, it provides the necessary conditions for the construction of local intelligent tourism class auxiliary service and decision-making platform. In this paper, data collection and preprocessing of data from...

In recent years, the user base of WeChat mini programs has experienced a consistent growth. This study employs a linear regression approach to forecast the future monthly active user count for these mini programs. Throughout our research, we utilized two distinct methods to independently determine the...

The data-driven data link comprehensive evaluation method is mainly used for heterogeneous business data management and intelligent analysis of test data in data link comprehensive testing. Heterogeneous business data management provides testing services such as storage, invocation, and management of...

The power mechanism of continuous innovation is one of the main mechanisms constituting the continuous innovation mechanism of an enterprise, and it is also an important magic weapon for the enduring of the enterprise. It is the guarantee for innovative enterprises to acquire lasting core competitiveness...

As research samples, this paper employs the cross-border technology M&A events of 175 A-share listed companies in Shanghai and Shenzhen from 2007 to 2021. An examination of the effect and process of transnational technology M&A on the rate of domestic added value of enterprises’ exports was conducted...

The excavation of credit risk factors for new agricultural entities plays an important role in providing comprehensive credit evaluation and promoting stable growth of the agricultural economy. The current traditional mining methods lack objectivity and accuracy, making it difficult to provide effective...

This article is based on the IDEA platform, using Spring Boot and Vue as the main development frameworks, using MySQL to create a backstage database, and ultimately designing and implementing a tourism website. The website mainly includes functional modules such as attraction inquiry, information management,...

There are still many inefficient manual processing tasks in the financial field, so it is crucial to adopt financial robots based on RPA technology. In order to automatically obtain the financial fields of web pages and intelligent classified financial data, the financial data automatic capture robot...

Against the backdrop of increasing entertainment demand and the continuous iteration of AI and other technologies, the development of generative virtual spokespersons promotes the deep integration and development of the Internet, big data, artificial intelligence and the real economy. Generative virtual...

In languages like Amdo Tibetan, which have a small speaker population and pose challenges in data collection, achieving high accuracy in speech recognition remains a considerable challenge. Whisper, a general-purpose speech recognition model developed by OpenAI, achieves near-human levels of accuracy...

E-commerce has become a crucial part of global economic activities, and ensuring the atomicity of transactions in E-commerce is vital. So far, existing E-commerce solutions face the following atomicity problems: DigiCash with double-spending, SSL and SET with failing to ensure goods atomicity, and the...

The development of Chinese traditional manufacturing industry is accompanied by high carbon emissions. In order to promote the sustainable development of manufacturing industry, information and communication technology (ICT) is applied to upgrade manufacturing with a hope of both promoting sustainability...

Tibetan Amdo, a significant dialect of the Tibetan language, currently lacks large-scale, high-quality speech databases. It faces challenges such as a limited number of researchers, incomplete and inaccurate coverage of the Tibetan phoneme lexicon, and subpar quality of synthesized speech. This paper...

In this paper, application of deep learning techniques and their interpretability analysis are explored in transient stability assessment of power systems. With the continuous expansion and increasing complexity of power system scales, traditional stability assessment methods are facing new challenges....

China's social and economic growth has advanced at an unprecedented rate. However, a number of governance and environmental risk concerns, such as excessive emissions by factories, recurrent safety mishaps, and internal mismanagement, have surfaced in the setting of economic development. The environmental,...

The integration of digital intelligence has become the core driving force of digitalization and sustainable green development. This convergence relies on data-centricity to achieve deep integration of data, intelligence, cloud computing and network technologies. In recent years, scholars at home and...

In the information age, information security is an important issue faced by contemporary college students, and how to evaluate the information security literacy of college students has become the key to protect the information security of college students. This paper uses the analytic hierarchy process...

This paper delves into the development, theoretical foundations, and significance of new media operation in contemporary information dissemination. It firstly introduces the background and significance of new media operation research, emphasizing the central role of content innovation and interactivity....

This study analyzes the carbon emissions of trucks at the Xinjiang G30 Yandun Toll Station using the ‘Carbon Emission Factor Corresponding to Load Weight’ measurement method. The Analysis includes a comparison of emissions between different types of trucks and at different times over a year. The Analysis...

The development of agricultural e-commerce in Shiyan City is in the early exploration stage and has not yet formed a systematic path for e-commerce development. The characteristics of this stage are abundant resources and a large number of agricultural specialty products, but the infrastructure and service...

This article explores the application of blockchain technology in accounting and financial information systems, emphasizing its advantages in transparency, security, and efficiency, and proposing challenges that need to be addressed in widespread adoption. The decentralized nature of blockchain technology...

This paper focuses on the combined application of time series analysis models and machine learning models in real estate valuation forecasting. When dealing with real estate valuation data, we use deep learning models to extract key features to achieve high accuracy prediction. The performance of four...

With the rapid development of society and the acceleration of industrialization, the chemical industry, with its irreplaceable position, has become an important pillar of the national economy. In the key field of chemical plants, the issue of production safety is particularly prominent. Operators are...

Along with the vigorous development of e-commerce platforms, all kinds of goods with different values appear on various platforms, with the value of goods exhibiting a considerable gap. In this regard, the packaging damage of goods has consistently been an inevitable problem during the picking process....

This paper deeply analyzes the application of intelligent operation and maintenance management and control platform in the energy Internet, and discusses its technical level composition and development mode. Firstly, the concept and development trend of energy Internet are introduced, and then the hierarchy...

Using video artificial intelligence analysis and IoT technology, it is possible to digitize the information perceived from individuals, vehicles, roads, and the environment on expressways. This data can then be integrated with big data technology to create a digital intelligent expressway transportation...

This paper first analyzes the dilemma of digital construction of data link equipment under the current digital background of our army and the necessity of studying the knowledge graph of data link. Then it introduces the current research status and development process of knowledge graph technology at...

By exploring the impact of blockchain technology on the digital economy, this paper demonstrates the theoretical connotation and practical path of blockchain technology in promoting the development of the digital economy. The study focuses on how blockchain can promote the growth of the digital economy...

Text data, as the main carrier of information dissemination, is filled with some offending and harmful content. Due to the development of time and culture, the offending content tends to use obscure language forms when expressing. In addition the compliance information that references sensitive keywords...

From the perspective of consumers, based on SOR model and flow experience theories, this paper constructs a research model on the impact of UGC characteristics of social e-commerce platforms on consumers’ impulse purchase intention, and empirically analyzes the impact of UGC characteristics on consumers’...

To improve the ability of the knowledge graph completion model to predict long-tail entities and keep its prediction indices for popular entities, this paper proposes a knowledge graph completion model based on co-knowledge distillation. Overall, the model consists of three parts as shown below. In detail,...

The mobile Internet has changed the way of copying and spreading cultural works, copying and spreading them quickly in a low-cost way, resulting in increasingly serious infringement problems. At present, the traditional copyright management system has some problems, such as difficulty in confirming rights,...