Atlantis Highlights in Intelligent Systems

Smart contract is presented as a new infrastructure for programming, deployment and execution with the rapid pace of blockchain technology in recent years. The development of blockchain technology provides a good operational basis for smart contracts, which can play an important role on the blockchain....

Artificial Intelligence (AI) is now a part of the education system. Artificial Intelligence (AI) changes how students work with study materials and learn things. I have observed that speech recognition, natural language processing (NLP) and text-, to-speech synthesis have advanced quickly. Speech recognition,...

In the field of investment, the selection of good target stocks is one of the keys to the ultimate success of the investment activity. Stock prediction is a study that every investor is trying to do, ordinary investors confirm stock selection for trading by means of technical analysis, and researchers...

This paper analyzes a variety of factors that affect public budget revenue. The data set is the Shanxi Provincial Statistical Yearbook collected from 1999 to 2021 years. This study uses the lasso regression method to select multiple factors affecting public budget revenue. The key influencing factors...

Counterfeit money is a serious threat to economic stability and public confidence. This paper introduces an integrated Fake Currency Detection System based on Convolutional Neural Networks (CNN) and Optical Character Recognition (OCR) for detecting fake Indian banknotes. In contrast to conventional methods...

In the context of big data, this paper takes the export toughness of the textile industry in Shandong Province as an example, and deeply discusses the application of data analysis in social and economic development. On the basis of constructing the theoretical logic of optimizing the evaluation of the...

Nowadays, the financialization trend of corporate economic development is getting stronger than ever before. Therefore, this paper constructs a multi-dimensional fixed effect model that uses Stata15 for empirical analysis to study the impact of corporate financialization on audit fees. It is found that...

AUTODOX is a cross-platform desktop application designed to remove the burden of manual file organization through personalized, intelligent automation. Rather than relying on fixed sorting rules, the system observes how individual users interact with their files and continuously refines its behavior...

In order to evaluate the effectiveness of air quality assurance measures during the 2022 Beijing Winter Olympic Games and the Winter Paralympic Games, samples of atmospheric particulates in Weifang City during the 2022 Winter Olympic Games and the Winter Paralympic Games were collected to analyze the...

Movies, a common form of entertainment, are one of the ways for people to escape the busy life for some short time, especially during the holidays. This paper focuses on analyzing the relationship between the box office and popular movie genres during the Chinese National Day Holiday Golden Week. We...

Hand gesture recognition offers a natural and intuitive mode of human computer interaction by enabling users to control digital systems through physical movements. However, many existing approaches are constrained by the need for complex hardware, large annotated datasets, or computationally intensive...

Integrating the construction of smart cities with urban agglomeration, realizing the cooperation and complementarity of advantageous urban resources, and establishing the development model of smart urban agglomeration with Chinese characteristics become an important direction of advancing new urbanization....

This paper attempts to use relevant data of public products and macroeconomic, from the view of technical characteristics of smart infrastructure, to analysis the feasibility of smart infrastructure to provide high-level public products and the problems encountered in this process. The research conclusion...

In order to discuss the application of economic management in database construction, an application research of big data and cloud computing in economic management database construction is put forward. This paper first summarizes the characteristics of big data and cloud computing, then analyzes the...

Facial emotion detection has emerged as a critical area in human-computer interaction, healthcare, and security applications. Traditional methods often relied on handcrafted features and single-label classification, which lacked depth and flexibility. This paper proposes a deep learning-based model utilizing...

As a distributed ledger technology, blockchain can be used in the fields of information sharing, logistics chain, certificate storage and anti-counterfeiting. However, due to the isolated nature of the blockchain network and the high degree of heterogeneity between chains, the connection between different...

The interchange of processes, systems, and users between Artificial Intelligence (AI), Blockchain, and immersive technologies such as Augmented Reality (AR) and Virtual Reality (VR) have expedited the advancements and evolution of the Metaverse into a decentralized and engaging digital ecosystem. While...

In order to understand the effectiveness of man-machine interface control method, a man-machine interface control method based on multi-level analysis is proposed. Firstly, using the advantages of AHP, the factors related to users in the evaluation of man-machine interface are comprehensively analyzed,...

The current global food system still prioritizes efficiency and profitability, which is unstable. Especially confronted with the impact of COVID-19, the uncertainty further increases. Therefore, with an attempt to establish a food system optimization model prioritizing equity and sustainability, we proceed...

Accurate crop yield prediction is vital for enhancing food security and supporting data-driven agricultural planning. Existing models often fail to capture the intricate relationships between environmental conditions, farming practices, and crop responses. This study presents a novel deep learning-based...

Navigation technology development is one of the core key technologies to promote the intelligent development of UAVs, and is an important technical guarantee to support the complex mission attempt of UAVs and their formations. This paper introduces the main navigation means and application scenarios...

The amount of heterogeneous services and users deployed on cloud computing systems is soaring at an extremely fast rate and hence, the concern of secure service selection and access control has become a fine-grained access control that is more and more complex. This paper proposes a Hybrid Deep Learning-based...

In order to explore the school’s economic management big data collection mechanism, build a school’s economic management big data integration platform to provide innovative ideas. This article forms a collection content system from the four aspects of service object, service process, operation support,...

In order to solve the problems existing in the energy Internet, let the virtual power plant participate in the energy Internet and solve the problems existing in the energy Internet. Firstly, starting from the resources that can be aggregated in the county, the county scene of virtual power plant participating...

Road traffic accidents cause hundreds of thousands of injuries, deaths, and economic costs annually, and hence the prediction of severity is significant for effective rescue resource allocation and policy intervention [1]. Machine learning (ML) has been shown to be a valuable tool in achieving the patterns...

In digital environments, social networks are profoundly shaped by the actions of influential nodes, such as celebrities, content creators, and highly engaged users. Their interactions—liking, sharing, commenting, visiting pages, and purchasing products—serve as catalysts for engagement cascades that...

Bitcoin establishes itself as an investment asset and is often named the New Gold. This study, however, shows that the two assets are different in univariate and multivariate aspects. First, we construct GARCH, APARCH and APARCH-in-Mean models to analyze and compare conditional variance properties of...

Acoustic manipulation techniques have recently become a current research hotspot, especially their application aspects are receiving increasing attention in important fields such as medicine, engineering, environment, and military, yet the precise control mechanisms and the associated techniques are...

With the reform of energy and the promotion of the digital economy, multi-station integration is being implemented. In order to promote the investment and operation of multi-station integration smoothly, it is necessary to study the comprehensive evaluation of the modes of investment and operation of...

The conditions of heterogeneous aircrafts, dynamic environmental factors, and uncertainties related to humans are all involved in the operations of the private jets and pre-takeoff risk assessment is a complicated safety problem. This paper suggests AeroSafe, a hybrid guided machine learning model to...

Using the qualitative comparative analysis method, six condition variables were selected from the internal and external dimensions of the government to study the influencing factors of the performance of China’s provincial government service platform. The study shows that policy support is a key factor...

Shaanxi Province is an important energy province in China. There are great differences among different regions in resource endowment, industrial advantages and economic development level. Predicting the peak value is conducive to the early realization of the carbon peak goal in Shaanxi Province and the...

This study aims to enhance the performance and equity of Peer-to-Peer (P2P) lending systems by applying machine learning techniques for borrower assessment and interest rate forecasting. The proposed framework operates in two phases. Initially, a Random Forest Classifier is used to assess borrowers’...

This paper establishes a Stackelberg game model, analyzes the optimal emission reduction rate and price in the case of independent emission reduction and outsourcing emission reduction in the power supply chain, and obtains the conditions for energy-saving service providers to participate in the emission...

In the current paper, I would like to discuss a blockchain-powered academic certification check system, combining decentralized storage of credentials with identity checks based on biometrics to improve the reliability, safety, and authenticity of scholarly records. The conventional system of certificate...

To reduce the cost of storage and size, most digital cameras capture images through a chip whose surface is covered with a color filter array (CFA) where each sensor only samples one of three original color values. To reconstruct a full image, an interpolation process, often called CFA demosaicking,...

Different from the traditional linear welding production line, the AGV internal circulation welding production line proposed in this paper mainly drives the AGV fixture and BIW products to realize the process transfer through the AGV in the region. The purpose is to build a welding production line that...

Based on the data analysis and Research on the interactive development of cross-border e-commerce and logistics, this paper discusses the interactive development of cross-border e-commerce and logistics, and puts forward optimization countermeasures to promote the interactive development of the two,...

In order to understand the legal protection of intellectual property rights, a research on intellectual property protection management platform of digital resources based on artificial intelligence is put forward. Firstly, with the help of digital resources of artificial intelligence, this paper determines...

Smart farming requires smart systems capable of making timely and accurate suggestions for crop choice, fertilizer usage, and detection of plant disease. This article presents AgroAware, a web-based system that utilizes machine learning and deep learning techniques to facilitate precision agriculture....

With the rapid creation of artificial intelligence in the sphere of conversational technologies, the management of the interaction with the customers has been changed by the organization in question, specifically, the adopted use of the automated call-handling system. I will present an interactive voice...

Electronic service has long been regarded as a significant legal service method for the optimal distribution of limited judicial resources. However, information security remains the major concerns within academia and judicial authorities during the actual application. Within current legal framework,...

With the continuous development of global economic integration and science and technology, the level of development of modern transportation has become one of the standards for measuring a country’s economic strength. The process of trade transportation has promoted the improvement of the logistics transportation...

Through a survey of the newly employed form of labor groups in prefecture-level cities, we analyze the basic characteristics of their masses, their occupational characteristics, and identify the factors that affect the four variables of the group's monthly income level, willingness to participate...

Small and micro businesses often work with very limited money and time. Many owners still track sales, expenses, rent, and taxes on paper or in messy spreadsheets, making it hard to plan or spot problems early. This project creates a simple, smart tool that lets businesses upload their records and quickly...

Quality and safety is the source of maintaining the value of all commodities. Compared with general products, the quality and safety control of geographical indication products is more complicated and involves different interest groups, while farmers’ cooperatives, which are related to the production...

Heart disease continues to be the primary cause of death globally. It highlights the importance of reliable and efficient diagnostic methods to reduce its impact. This paper presents a state-of-the-art ensemble-based machine learning architecture for predicting heart disease, aiming to enhance diagnostic...

With the rapid development of mobile Internet, the second-hand Internet trading platform is becoming more and more mature and perfect. In C2B2C mode, the Internet second-hand trading platform faces different markets, and different categories of used car e-commerce are constantly appearing. From C2C transaction...

Speech is the primary information carrier in human communication and the interference could be caused by environmental noise. The speech enhancement algorithm is an effective method to reduce noise and improve the subjective feeling of the human ear. The existing speech enhancement algorithms can be...

Customer sentiment analysis will make us aware of their thoughts on online shopping websites and make more informed decisions. Due to the growth of online marketplaces, we require automatic tools to discover valuable insights when working with very large volumes of customer comments. In this paper we...

We conducted a quasi-natural experiment, based on the Medium-term Lending Facility (MLF) collateral expansion and green bonds are included as eligible collateral since then. We adopts a triple-difference method to empirically test whether the green finance policy of China’s Central Bank collateral promotes...

BERT (Bidirectional Encoder Representations from Transformers) as a pre-training model has been widely used in the field of natural language processing, of course, it also covers the field of Chinese medical text. In the process of actually dealing with Chinese tasks, BERT also has its own shortcomings,...

This paper takes China’s A-share listed companies from 2015 to 2018 as research samples, uses OLS model to investigate the influence of government subsidies on inefficient investment of enterprises, and tests the moderating effect of executive stock ownership in the relationship between government subsidies...

The proliferation of deepfake media stirred grave doubts over media authenticity threatening digital trust and social coherence. This paper proposes a new technique of deepfake detection from images and videos through the use of a hybrid of MobileNet spatial feature extraction and Long Short Term Memory...

The emotion recognition is a significant role in human-computer interaction, in the field of affective computing and intelligent decision-support systems. Most existing methods of sentiment analysis presuppose one channel as a text or speech one, which cannot be applicable in any real-world context when...

Banks provide financial support for enterprises but may bear more risks lending to SMEs. This paper aims to reduce the credit risk of banks while maximizing their revenue. To provide banks with optimal credit strategy, this paper considers the accuracy of enterprise default risk. In this paper, banks...

In order to realize the management goal of information resource sharing in manufacturing enterprises, ERP and WMS system integration is very important for the development of enterprises. Break the information island, realize inventory fine management, intelligent operation, reduce the dependence of manual...

With the rapid development of the Internet, network security is the most important issue for businesses and people. Vulnerabilities caused by user input and not treated harmlessly are the easiest to be exploited by hackers. In this paper, a tool named FastTaint is implemented, by using the principle...

In the landscape of modern digital commerce, user- generated reviews are pivotal in shaping consumer preferences, influencing purchasing behavior, and contributing to brand perception. However, the infiltration of fraudulent or misleading reviews undermines the credibility of such platforms. This paper...

Carbon emission caused by buildings is an important source of regional carbon emission, and it changes with time and space. This is due to the agglomeration effect of economic and construction industry development. Meanwhile, climates in different regions also have great differences in energy consumption....

Cyber threat reports are widely used in security investigations to understand how attacks are executed and how systems are compromised. These reports usually contain detailed descriptions of attacker behavior, but the information is presented in narrative form rather than structured according to standard...

China’s capital market and securities market have been developing rapidly in recent years, but the related systems have not been improved accordingly. In the process of development, many financial fraud incidents have occurred, which have seriously damaged the public interests. Based on the game theory,...

Based on the application of big data analysis technology in financial investment risk management, this paper makes a detailed analysis to help enterprises reasonably plan financial investment and realize the reasonable control of financial investment risk. Data analysis carries out systematic processing...

Green development is the basic concept of China's economic development at this stage, and under the double pressure of resource crisis and environmental crisis, green development has put forward higher requirements for the development of new energy industry. This study selects a sample of 456 cases...

Proper prediction of inventory demand is extremely significant in the case of a healthy, operating supply chain. In case companies make incorrect forecasts they can either have more inventory (which must be stored at a cost), or run out of inventory which leads to dissatisfied customers. The given study...

The producer price index of agricultural products is an important part of agricultural economic development. Studying the fluctuation trend of the producer price index of agricultural products and forecasting future short-term data can promote the better development of the agricultural product market...

It utilizes machine learning prognostics in predicting genetic diseases by taking large sets of computational algorithms that process huge genetic data. These models attempt to forecast the probability of acquiring certain types of genetic diseases with the help of gene markers, ancestral history, environment,...

This paper takes A-share listed companies in Shanghai and Shenzhen stock markets of China from 2018 to 2020 as research samples, collects relevant data and processes them into corresponding panel data through data software, empirically studies the correlation between the debt financing cost and local...

This article is based on Chinese provincial panel data from 2011 to 2019, by using the fixed effects model to empirically test the relationship between the development of digital inclusive finance and regional innovation output and further inspection east Midwest heterogeneity effect of regional innovation,...

Considering that multifractal characteristics widely exists in financial markets, this paper adopts the multifractal detrended cross-correlation analysis (MF-DCCA) method to study the correlation between futures and spot returns in China's soybean market. Based on the data of soybean No. 1 futures...

Prison security needs fast and accurate systems to detect weapons and identify people in real time. Depending only on human guards is not always reliable, as they can miss threats or react slowly. In this paper, a smart surveillance system that uses deep learning to detect weapons and recognize prisoner...

The paper provides a deployable banking transaction fraud detection system, written in Python and Streamlit, which uses a pre-trained supervised machine learning classifier as an interactive web-based dashboard. Structured transactional data is also processed in the system in seven engineered features...

This article is based on Chinese provincial panel data from 2006 to 2019, by using the fixed effects model for the improvement of the aging population of the empirical test on the influence of the level of regional innovation, and further examines the east Midwest heterogeneity influence on regional...

The real property is one of the critical assets in the city that engages in multiple stakeholders like consumers, agents, government authorities, and construction contractors. Construction of a smart real property management system is of particular importance to manage the life cycle of properties effectively....

Linear programming can apply to real-life problems. Simplex methods, one of the common methods can be used to calculate some math involved problems in daily life, providing an accurate solution that is restrained by the given information and data. In this paper, ideas of linear programming and simplex...

China has set a target of peak carbon by 2030 and a target of carbon neutrality by 2060. In recent years, many residential buildings in small and medium-sized cities are in a state of imbalance between supply and demand, and the task of carbon emission reduction is onerous. In this paper, the full life...

As the strategic decision-makers of the enterprise, top management team has a profound impact on the efficiency of R&D investment of the enterprise, and even decides whether the enterprise makes plans and decisions on investment. This research focuses on the relationship between the demographic characteristics,...

Women career progression is highly dependent on mentorship, and according to the conventional models of mentorship, the latter is mainly manual, biased, and unreachable. In a bid to shorten these challenges, SEEK HER is a Web-based application designed based on the MERN stack that is meant to offer intelligent,...

In the context of global carbon neutrality, the development of information technology has strengthened the accuracy and efficiency of accounting information disclosure, and carbon accounting information disclosure has become an important initiative for global enterprises in the development of the digital...

Personalized grocery recommendation systems enhance customer experience and retail performance. While traditional methods like collaborative filtering struggle with dynamic preferences, modern deep learning and hybrid systems achieve superior accuracy and personalization. However, Traditional recommendation...

The work covers the creation of the intelligent chat bot system, which helps users with the college-related queries by means of the efficient and automated interface. The system combines natural language processing, machine learning and rule-based technologies to read with accuracy user queries and provides...

With the continuous development and improvement of China’s economic level, people’s consumption power has also been greatly improved, and tourism has gradually become the most popular leisure and entertainment activities. In order to promote the practice of circular economy system, change the current...

In the back ground of internationalization of RMB, this study focuses on the impact of various types of capital flows on real effective exchange rate in the Economic development process of China. Using three major kinds of capital flows Data of China in 1994–2015, through Cointegration Analysis and Granger...

In order to improve the quality of electric power marketing service, this paper puts forward the research of electric power marketing service system based on Alipay applet. The architecture of Alipay applet system for online channel of electric power marketing designed in this paper mainly includes three...

This paper describes the design of Azure-SQL AutoSizer, a SKU recommendation engine for automatically selecting Azure SQL PaaS targets (i.e. Azure SQL Database and Azure SQL Managed In- stance) to which on-premises SQL workloads can be migrated. Unlike existing tools that require intrusive access to...

This article mainly briefly introduces the relevant content of the ERP environment, and elaborates the necessity of implementing the internal control of the financial accounting information system under the ERP environment. The author analyzes the influence of the ERP environment on the internal control...

Against the backdrop of comprehensively advancing the reform of mixed ownership, equity heterogeneity has been revisited and widely known. Heterogeneous equity is closely related to corporate innovation, and the emergence of agency problems makes the term of executives as an inevitable link between the...

Image restoration and enhancement have significantly progressed in restoring degraded images with haze, missing areas, and structural ill-clarity. Conventional restoration techniques are not able to retain global structures and fine textures simultaneously, resulting in artifacts and loss of quality....

Suicide is a serious public health problem in today's society. It is of great social significance to conduct in-depth research on suicide prevention. In this study, suicide risk assessment methods based on random forest algorithm were investigated. The random matching and traversal matching algorithms...

In order to improve the multi-module accounting sharing ability and the accuracy of shared data query, a multi-module accounting sharing model under the regional network perspective is proposed. The big data fusion and fuzzy association mining method are used to extract information and construct features...

Based on the national policy background of increasing tax incentives in recent years, this paper studies the relationship between executive characteristics and corporate tax avoidance with a sample of all A-share listed companies from 2015 to 2020, and examines the influence of the gender, education,...

Android platforms are gaining popularity and hence, they have become the popular victims of viral attacks. The project is an undertaking dealing with malware detector system development. The android application and the Voting Classifier algorithm which uses the Linear Discriminant Analysis (LDA) and...

China has attached great importance to energy conservation and environmental protection. President Xi Jinping made a solemn commitment at the 75th UN General Assembly that China will increase its national independent contribution, peak its carbon dioxide emissions by 2030, and strive to achieve carbon...

The gradual increase in China’s economic strength has driven the economic development of the foreign trade industry. However, due to the impact of the new coronavirus in 2020, many countries and cities have suffered economic recession, companies have closed down, and flights have been suspended. Therefore,...

In the past few decades, food fraud and safety issues have given rise to growing concerns from the society. With the purpose of efficiently detecting and preventing food safety problems and tracing the accountability, the establishment of a reliable traceability system is indispensable. For a traditional...

In recent years, with the continuous development of the national economy, the social level is also constantly improving, and science and technology have also achieved vigorous development, showing a thriving situation. In the era of information dissemination, the forms and ways of information dissemination...

Extracting essential information from unstructured and mixed types of documents is a tremendous challenge in many organizations. Documents like scanned receipts, invoices, and native PDFs often contain noise, uneven layouts, faded text, and formatting differences, which makes it difficult for traditional...

The excessive financialization of real enterprises has a negative impact on enterprise innovation, unbalanced economic development and financial stability. This paper studies the tradeoff logic between corporate financialization and earnings management from the perspective of external governance of institutional...

With the stable development of China’s market economic environment, in recent years, the information users of listed companies are paying more and more attention to the information disclosure of enterprises. In the analysis of the effect of environmental accounting information disclosure of listed companies,...

By combining data from Chinese enterprise databases and the Chinese Statistical Yearbook of Cities, this paper calculates indicators of manufacturing upgrading, related diversification, and specialization for 287 prefecture-level and above cities in China based on panel data. Using fixed effects models,...