Atlantis Highlights in Intelligent Systems

The continuous advancement of cyber threats has diminished the effectiveness of conventional network intrusion detection methods. This research proposes an innovative intrusion detection strategy that combines frequency-domain analysis with machine learning to detect harmful network traffic. By applying...

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...

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...

As China’s digital technology develops, the degree of aging deepens, and the silver-haired generation contacts the Internet one after the other, the original digital divide problem becomes more prominent. Smartphones, which are a necessity for people’s daily life, are affected by many different factors...

As a great innovation in virtual currency, bitcoins have the possibility to survive perpetually, although they are like gigantic bubbles. However, no matter whether bitcoins could survive or not, the technology used by bitcoins will exist and develop. There is a great possibility for bitcoins to be served...

Artificial intelligence has driven innovation in the tourism industry, bringing convenience to tourism enterprises and tourists. Tourism companies have introduced chatbots and applied natural language processing technology to push the best itineraries for tourists based on their characteristics and preferences....

This paper, based on the epigenetics and the evolutionary economics paradigm, proposes EED theory as theoretical framework to conduct a study on digital economy quality development of trade firms. An EED-Metaphor Corpus is constructed to empirically study the digital economy driving force and the process...

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’...

Analyzing employee attrition helps us understand core issues employees may be facing, like challenging workloads, inadequate compensation and psychological distress. Our project tries to understand reasons for attrition in healthcare—an industry where it is critical that the employees function efficiently,...

In this paper, we explore the impact of smart city policies on corporate R&D using a sample of Chinese a-share listed firms from 2008–2018. Our findings show that smart city policies have a catalytic effect on local firms’ R&D compared to cities that were not selected as smart cities. In addition,...

Momentum trading strategies are universally popular among investors and financial institutions. However, momentum trading is juvenile in China due to the lack of diversity in China’s derivatives market. This study examines the feasibility of momentum trading strategies in discretionary and systematic...

This paper first analyzes the concept of digital technology and its development process, and then deeply analyzes the development of the combination of digital technology and artistic creation. Finally, it expounds the application and advantages of digital technology in modern ceramic art creation, including...

At present, the economy in China has made great progress and has become the second economy in the world. Since entering the 21st century, my country’s development speed has far exceeded that of other developing countries. Since my country has achieved a lot of room for economic development in recent...

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,...

Early identification of wildfire outbreaks is crucial to minimize ecological damage and reduce the risk to human life and property. Conventional satellite-based detection techniques often lack the temporal resolution needed for rapid response. This study presents a cost-effective and deployable wildfire...

Recommendation algorithm is a kind of artificial intelligence technology which is widely used in all walks of life. In the field of product art design, recommendation algorithms can help designers better understand user needs and quickly provide design solutions that meet user needs. However, the application...

Brands are widely using Story-telling to convey brand value and information. Existing studies also discuss the influence of brand stories on consumer attitudes and behaviors from the perspective of story elements and structure, few studies put forward how to tell a good story for agricultural products...

With the continuous development and maturity of Internet technology, the concept of a “smart planet” “Internet+” has gradually matured, in which healthy China and smart sports play a vital role. After selecting the research direction, centering on the content direction, relevant materials are inquired...

The processing of materials and structures in packaging design is the reflection of economic activities in application. When in the pursuit of artistic style, if packaging design only stresses the unique form of personality expression while ignores the visual beauty and practical use with general rough...

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,...

Under the background of digital economy, with the development of blockchain technology, the value and service quality of rural e-commerce have been improved. Specifically reflected in two aspects: one is to change the traditional rural e-commerce industrial chain and enhance the value of rural e-commerce....

With the continuous improvement of the theoretical foundations of mathematical and behavioral finance, quantitative investments have sufficient and necessary conditions to develop vigorously. In the society of increasing investment, quantitative investment has become an inevitable trend. In this paper,...

An all-area linkage, three-dimensional and efficient national security protection system is inevitable to improve the national emergency management system. Mobilizing members of society to participate in the emergency management of major crisis events and guiding the general public to participate in...

Government fund management is a very important function that has to be efficient, transparent, and accountable. However, with the conventional systems, inefficiency, untransparency, and high cost that go hand in hand with delays and possible abuse are intrinsic features. Blockchain presents a hopeful...

Childhood is an important stage in life. It is very important to provide better food packaging design for children. Due to children’s limited cognitive abilities, safety is a key factor to consider in food packaging for children. Safety provides an effective guarantee for children's food packaging...

Multimodal fusion classifications are more generalizable and may be utilized in a variety of domains, including medical care, automotive autopilot, and in this paper's study of sentiment identification. This study is motivated by the human perception technique for emotion; it merges the information...

In this paper, I use the XGboost algorithm model with parameters controlled by the Grid SearchCV search algorithm to forecast stock prices based on the daily time series characteristics of stocks. The results of the model demonstrate that by using a computer algorithm to analyze stock price information...

The application of big data, cloud computing, artificial intelligence, block-chain, and other technologies has enabled financial services to be closely integrated into daily production and life, and scenario finance has developed rapidly. Starting from the application scenarios of smart scenario finance,...

Research has shown that people prefer natural environments for their restorative effects, while urban landscapes are less favored. However, the relationship between naturalness and landscape preference is not always straightforward, and the impact of human intervention is still a topic of debate. Recent...

Tracking student attendance is often a time-consuming task, particularly in large classroom settings, where monitoring each individual's presence becomes challenging. In some instances, students may even impersonate their peers to mark attendance in their absence. To address this issue, the proposed...

In recent years, smart city construction has been developing rapidly worldwide, and traditional smart city research has focused on modern information technology and hardware devices to build a smart city system based on the Internet of Things and big data. Smart cities have become a comprehensive and...

At present, with the global aging becoming increasingly serious, more and more countries and investors attach importance to the construction of pension fund system. FOF fund (fund of funds) is a special fund for the investment target. It does not directly invest in stocks or bonds, but invest in other...

In the regulatory mechanism of capital market, audit is one of the important means to ensure the quality of capital information. Under the background of cyclical economic fluctuation, there are some problems in the audit quality budget of enterprise accounting. In addition to the change of company risk,...

With the continuous development of economy, accounting information plays an increasingly important role in enterprise decision-making. However, the traditional accounting information quality evaluation method has some problems, such as strong subjectivity and difficulty in quantifying the evaluation...

Traditionally, predictions for cricket matches have concentrated on team performance metrics, frequently neglecting the effects of individual player interactions. This study introduces a new player-vs-player method for predicting T20 innings scores, utilizing historical ball-by-ball data from IPL games....

Aiming at the current common mainstream indoor positioning, this paper summarizes the basic positioning principles of WIFI, Bluetooth, UWB, inertial navigation, and visual SLAM methods respectively, and analyzes the possible problems and defects of each positioning method in specific different situations,...

The largest Chinese Cryptocurrency Mining Hardware (MH) Company applied half one year on useful life of MH and disclosed it as inventory. However, MH is more a fixed asset according to financial report. We want to know whether the useful life of MH is set reasonable. By proposing economic life method,...

The Internet of Things combines the information network composed of sensor nodes, radio frequency and other detection tools, and realizes the interconnection and intercommunication of human society and physical systems on the Internet platform. The Internet of Things technology can be widely used in...

It is an important issue at the present stage in China that the new type of urbanization helps the residents’ income increase. This paper examines the impact of the new urbanization level on residents’ wage income by using the data at the urban level in China from 2007 to 2020. The results show that...

The Beijing Winter Olympics Organizing Committee has set a low-carbon goal for the 2022 Beijing Winter Olympics to ensure that the venues use electricity to achieve green power supply. However, the green power has special physical properties of electricity, which makes it difficult to trace its source....

Customer satisfaction in call center industry faces significant pain points such as low result authenticity and poor guidance. Through process optimization, this study helps enterprises in the call center industry accurately identify management pain points, and conducts in-depth analysis on the questionnaire...

The presence of diseases in plant leaves poses a serious challenge to agricultural productivity, often leading to considerable financial losses. Identifying and diagnosing these diseases at an early stage is essential for effective crop management. This study introduces an advanced method for automated...

Based on the theory of financial management informatization and standardization, this paper constructs a digital-economy-based ERP-TESI system model, in which trade export firms and cold-chain logistics companies are combined and integrated as a whole being the research object, namely, the TLCICS enterprises,...

With the development of the Internet, the model of “community and e-commerce” is more and more favored by enterprises, Xiao Hong book is a typical success story in community e-commerce, and its user stickiness mechanism research is of great reference value. In this paper, the note quality, welfare society...

Using the least square method, this paper makes an empirical analysis on the export data of Sichuan foreign trade, especially from the export cost of foreign trade, that is, from the perspective of raw materials and labor costs, and compares and analyzes the export performance of processing trade and...

The deep integration of culture with science and technology is the inevitable trend of current cultural development. The widespread application of smart technology has changed the way of cultural production and dissemination, and the integration of smart technology and public cultural services has become...

The increasing demand for adaptive learning systems has highlighted the limitations of traditional, one-size-fits-all educational approaches. StudyPalz, a personalized learning platform has been crafted to help students study more effectively by pinpointing their weak spots and providing tailored resources...

The long-term goal of the research is to develop an efficient natural language processing application for both healthcare and education purposes. Chatbots are identified as a program within a website or an application that simulates human conversations using NLP. The objective of the current study is...

Urban management is an important content of social management, which is related to people's livelihood and social harmony. With the rapid advancement of urbanization and the continuous expansion of urban scale, urban management faces greater challenges, and it is very important to complete urban...

Manufacturing industry is the foundation of China’s economic development and an important part of the real economy. In the VAT reform, the manufacturing industry has been the biggest and most obvious beneficiary of tax reduction. This paper discusses the impact of the new VAT policy on the manufacturing...

Nowadays, the stock selection has become increasingly significant in financial field with the rapid development of Quantitative Investment. At first, as we all known, traditional style of equity investment involves personal scrutiny of available data on a company, including subjective assessments of...

In contemporary businesses, managing the increasing number of issues and complaints by hand frequently leads to delays and inefficiencies. To solve this, we suggest an AI-powered system that automatically analyzes and ranks text-based inputs from emails, tickets, and feedback using Natural Language Processing...

The application of AI technology in the whole process of information dissemination has promoted the arrival of the era of intelligent media. While improving the production efficiency of intelligent media, enhancing the communication power and influence, the full AI manuscript magnifies the contradiction...

Under the background of high-quality development, the concealment and cross-border nature of cross-border e-commerce transactions put forward higher requirements for the efficiency of government supervision. We build a network evolution game model in which three inspection strategies are taken by customs:...

This paper presents a model for predicting future investment returns using convolutional neural networks. Firstly, the economic indicators at the current time point and the investment return in the same period are considered as vector mode. Secondly, the time series in a continuous period are considered...

To explore the change trend and influencing factors of health service efficiency in China from 2012 to 2021, and provide scientific basis for rational allocation of health resources in the next step. Methods: We selected medical and health institutions in 31 provinces and cities of China as the research...

With the increasing volume of structured data across enterprises, efficient data retrieval and analysis have become critical challenges. This paper presents an AI-powered document chatbot that enables seamless data access using a Retrieval-Augmented Generation (RAG) architecture. The chatbot leverages...

In September 2015, China issued a differentiated tax reduction policy for corporate dividends. In this paper, we employ the Modified Event Study Methodology to study the response of China’s capital market to the dividend differentiated tax reduction policy in 2015. The empirical results show that in...

At this stage, with the advent of the era of big data, accounting work has undergone earth-shaking changes under the influence of information technology. Financial accounting and management accounting were originally two independent departments under the same system. In the context of the era of big...

Electronic service, as an innovated and supplementary type of judicial service, can solve the problem of “service difficulty”, and has been applied extensively worldwide. However, its practice in China encounters four obstacles currently, namely address collection, identity verification, utility and...

In this article, we tend to prove whether some economic indicators related to the three industries are characteristics of the development status of each country. Therefore, we first classify each country into developed, moderately developed, and developing based on per capita GDP. After that, we conducted...

As the latest hybridization of cyberspace and terrorism in the twenty-first century, cyberterrorism transcends national boundaries and poses an unprecedented non-traditional threat to any entities accessible to the Internet, including governments, corporates and civilians. The Shanghai Cooperation Organization...

The integration of artificial intelligence and machine learning into trading is significantly transforming financial markets, often surpassing traditional methods in terms of efficiency and accuracy. This paper presents a comprehensive study that encompasses a systematic literature review of algorithmic...

While the blockchain cryptocurrency market is becoming increasingly sought after, the vulnerability of the crypto market has also been brought to the attention of some academics. Based on cryptocurrency price data in TradingView database, this paper studies the effect of high-impact users’ comments on...

This paper deeply explores the mutual influence relationship between the components of smart construction site, and selects 16 practical application elements of smart construction site from three aspects of technical facilities, functional requirements and organizational management. The method of combining...

In today’s era of advanced technology, changes in our daily habits have significantly contributed to a rise in health-related issues, particularly heart diseases. With millions of deaths reported annually due to cardiovascular complications, it has become crucial to focus on early diagnosis and public...

Fin-tech has promoted the development of robo-advisor and subverted people’s perception of the traditional financial industry. The robo-advisor platform uses a combination of investment algorithms to provide customers with suggestions to enable non-professional investors to enter the financial network....

Taking the closed community in the northern district of Xi'an as an example, this paper describes the spatial environment of the area as a closed community from the perspectives of the number of residential developments, land area, number and form of entrances and exits, shape of road and community...

Reasonable estimation of socio-demographic information by using smart meter data is the application direction of future load profile user behavior analysis. The full mining of socio-demographic information has attracted more and more attention because the socio-demographic characteristics of consumers...

With the increasing shift to digital financial systems, detecting credit card fraud has become an ongoing challenge for banks and institutions. This paper introduces a comprehensive machine learning-based fraud detection system that combines oversampling through SMOTE with ensemble classification models....

At present, China’s securities market is still in the development stage. Guiding investors to pay attention to the relationship between ESG performance and stock price collapse risk is of great significance to the improvement of domestic ESG rating system and the stability of financial market. From the...

With the gradual maturity of big data and cloud computing technology, blockchain, as an innovative part in the evolution of information technology, has brought new opportunities for the development of various fields. Blockchain technology encryption algorithm can provide feasible solutions to the complex...

The law of agricultural economic development is inevitably the gradual replacement of traditional agriculture by modern agriculture, and agricultural mechanisation as the core of agricultural modernisation plays an important role in the whole transformation process. This paper firstly analyses the history...

Road traffic accidents are a critical public safety issue globally, causing substantial loss of life, serious injuries, and economic consequences. Accurate prediction of accident severity can enhance preventive measures, emergency response, and policy formulation. This study proposes a machine learning...

In this study, we analyzed the data of urban and rural residents’ income in Guangdong Province from 1978 to 2020 in terms of both absolute and relative differences. The results show that although the urban-rural gap has been expanding, the rate has slowed down. The regression analysis of urban and rural...

Scientific staff assessment will help improve the staff performance. OKR assessment is a common performance assessment method. There are many problems in the implementation of OKR assessment in some state-owned enterprises, which cannot give full play to the advantages of this assessment method. On the...

Realizing common prosperity is the essential requirement of socialism, based on the digital economy index, the number of Internet broadband access ports, the length of long-distance optical cable lines and Internet broadband access users, this paper constructs a comprehensive evaluation system for China’s...

With the development of Internet technology, the number of Internet users in China has exceeded 1 billion. Network public opinion has gradually replaced traditional media as an information communication channel. On one hand, the efficient and convenient online platform plays an important role in promoting...

Objective: To explore the international development path of traditional Chinese medicine products. Methods: Descriptive statistics were used to analyze the import and export of traditional Chinese medicine products, and comparative advantage index was used to study the trade competitiveness of traditional...

Accurate and precise classification of cardiac arrhythmias is essential for early diagnosis and prevention of life-threatening cardiac conditions. This research introduces an innovative two-stage deep learning approach for classifying arrhythmias, utilizing Dual-Tree Complex Wavelet Transform (DT-CWT)...

Since 2016, the cultural industry has seen the rise of IP. IP is understood as Internet celebrity, content marketing and other modes. The main reason is that in the Internet era, brand IP can help it highlight its individuality, impress the audience, have the characteristics of community, and more effectively...

Monte Carlo simulation is one of the most important algorithms in finance and numerical computational science. It plays an important role in option pricing and risk management. The Monte Carlo method can easily deal with high-dimensional problems. The upper complexity and computational requirements usually...

With the economic development entering a new era, promoting high-quality development has become an inevitable requirement for the sustainable and healthy development of China’s economy. Based on the relevant data from 2010 to 2020, DEA-BCC model, Malmquist index and Dagum Gini coefficient are used to...

The high-risk nature of the movie industry has kept companies looking for better plans to make and invest in a film. With the deepening of Internet applications, it’s possible to clearly visualize and demonstrate the overview of the film market and the performance of different movie genres with their...

Aiming at the problem that deep features of stock data are difficult to extract and the prediction accuracy is not high, an improved LSTM model CGLA is constructed. Firstly, the RNN-Attention model, LSTM-Attention model and GRU-Attention model are constructed by using attention mechanism. GRU-Attention...

In the era of rapid digital communication, social media platforms like Twitter (now X) serve as critical channels for public opinion and discourse. This project presents a comprehensive sentiment analysis pipeline that integrates both lexicon-based and transformer-based natural language processing (NLP)...

This paper takes the existing legal aid mechanism as the entry point, uses data on the awareness of legal aid among the elderly in a community in Shanghai, provides basic descriptions and statistics of the data, and explores the expansion path of the legal aid mechanism for the elderly by combining the...

As an important carrier of urban and regional development, the process of formation, agglomeration and diffusion of manufacturing industry agglomeration directly affects the operational efficiency of socio-economic factors and the regional spatial pattern. In this paper, the manufacturing industry agglomeration...

Objective: To study the current situation and problems in the service and utilization of Traditional Chinese Medicine (TCM) at the grass-roots level and realize the equity in health. Methods. Based on the 2014–2017 data from “National Statistical Extract of Traditional Chinese Medicine”, comparative...

Businesses must practice effective inventory management to satisfy client requests and keep prices down. Preventing instances where an oversupply or stock out largely depends on accurate demand forecasting. Inventory demand forecasting systems have advanced considerably by integrating machine learning...

Car sharing is growing rapidly worldwide, and the development of car sharing is constrained by factors such as unbalanced user travel demand and high enterprise operating costs. This paper considers the influence of multiple factors on user travel behavior, uses a multinomial logit model to encourage...

In this paper, by adopting big data technology and methods, and combining with Java and Spring MVC framework, the construction of enterprise refined marketing system is completed, and the purpose of providing better service for enterprise refined marketing system is achieved by building the system. The...

This article first analyzes the needs of the elderly, their families, community health service personnel and volunteers. Then this paper innovatively uses computer artificial intelligence technology Microsoft NET platform, Visual Studio 2013 integrated development environment, C# language, MySQL 5.7...

Considering the current background of China’s efforts to strengthen deleveraging and the strategy of innovation-driven development, this paper focuses on electronic enterprises, and studies the relation between leverage ratio and innovation, considering the influence of property rights heterogeneity....

Environmental, social and corporate governance (ESG) of businesses is becoming an important concern for investors in making investment decisions. This paper surveys a sample of A-share stocks listed on the Shanghai and Shenzhen Stock Exchanges between 2009 and 2020, examining the impacts of the ESG performance...

Diabetic Retinopathy (DR) is the most common cause of vision loss globally, prompt detection is essential for efficient treatment and intervention. High-resolution context of the retinal fundus images is problematic from viewpoints of resolution constraints, loss of important lesion information, and...

The Metaverse has been contributing to the long-term development of Traditional Chinese Medicine (TCM) medical services. The layout of a wide variety of regions in China in the new track of “Metaverse” has been initiated. China has been subjected to a high incidence of cancer and other diseases, and...

The current supply mode of environmental public services is dominated by government purchases. However, in the process of the government purchasing environmental public services, there are still many competing interests. Therefore, this paper focuses on policy implementation, comprehensively uses game...

Deep learning-based image classification models have been established as a potent approach in the medical imaging domain as they are able to provide higher-level accuracy for disease diagnostic tasks. Convolutional Neural Network (CNN) architectures have shown great promise from among these in parsing...

Contemporarily, the 5G technology is rapidly, and the media industry (e.g., Tiktok and micro-blog software) are growing rapidly and playing an increasingly important role in society. Intrinsically, the media and 5G technology industries might have a strong correlation with each other in stock market....