Atlantis Highlights in Intelligent Systems

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...

In this study, the system proposed by the researcher is Sahayak, an AI-based learning solution that seeks to automate the process of learning content creation and academic performance analysis of students in schools and colleges. Teacher can create class and subject, and then the in-built AI module automatically...

In today’s fast-paced society, women’s safety is still a major concern despite the tremendous improvements in technology. In addition to having a physical and psychological impact on victims, the rise in harassment, assault, and gender-based violence also imposes broader socioeconomic difficulties by...

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...

Stable communication and quality Wi-Fi systems, in particular, are among the main challenges posed by the variable nature of wireless communication environments. The ability to predict Wi-Fi link quality is of prime importance in making the network perform excellently, making the connectivity reliable,...

Natural disasters such as floods, earthquakes, and landslides have become a global concern due to their destructive effects on the environment. These events have become more frequent due to massive climate change, which demands the need for an automated system that can analyze these effects and manage...

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...

Transformer less grid-connected photovoltaic (PV) inverters are gaining in usage due to their vast efficiency and small size. But, because of variations in common-mode voltage, the absence of galvanic isolation might result in leakage currents, which usually reduce power quality. The conventional proportional-integral...

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...

In the transition from legal tech to online, we are faced with a problem: how to keep all our documents secure whilst ensuring that they are legally and constitutionally accurate. Blockchain is a secure means for creating a permanent record that cannot be tampered with. However, at the same time, it...

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 increasing requirement for the distribution of renewable energy sources into the current power system is causing increased challenges with regards to system stability, specifically frequency response. Current Automatic Load Frequency Control (ALFC) methods developed for a centralized power system...

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...

Artificial Intelligence (AI) plays a vital role in facilitating an Intelligent Tutoring System. XAI-based personalised Intelligent Tutoring Systems (ITS) for lifelong learning are transforming education by offering adaptive and customised learning experiences. But the black-box nature of many AI learning...

Lake areas prediction is a prerequisite for safe and sound environmental management and planning, especially in the regions that are influenced by the changed hydrological regime. This Research displays what machine learning regression methodologies Regression (Linear Regression, Ridge Regression, and...

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...

The present study analysed the heat transfer and pressure-viscous behaviour of sustainable refrigeration oil/green refrigerant for domestic refrigeration systems. The sustainable refrigeration oil was synthesised from pentaerythritol esters (PE) using the uninterrupted transesterification process. Then...

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)...

The Student-Alumni Networking and Career Development Platform will serve as a link between students and alumni to foster mutual development. It will not only store students’ and alumni’s details, but it also provides a communication environment between them so that they can share their knowledge. For...

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...

Object detection systems used in outdoor settings are often degraded by adverse weather conditions, such as fog, haze and low illumination. Reduced visibility results in weak feature representation and unstable prediction and missed detections. This paper introduces Weather Eye, a weather aware object...

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...

Bug tracking is a time-consuming activity in current software development, which generally involves manual bug reporting, bug triage, and bug propagation. In large and fast-evolving projects, this manual dependency causes slowing down bug resolution, duplicating reports, inconsistency in labeling severity,...

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...

Organizations today are also combating increasing rates of cyber menace emails phishing, malwares, fakes and network attacks that are soaring at an unprecedented pace. The field of isolated security solutions perceives the teams as being blindfolded and reactive. ThreatShield API is to be used as a combination...

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...

Structured query language (SQL) involves technical writing expertise that poses a big obstacle to non-technical users, thereby restricting data-driven decision making at the organizational level. Available solutions like direct database clients or the conventional Business Intelligence (BI) solutions...

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...

This paper describes the framework HQIAT-ML, the hybrid quantum- inspired adaptive transformer with meta-learning, for predicting and explaining the risk of student dropout for the Open University Learning Analytics Datasets (OULAD). Unlike traditional explainable AI methods based on SHAP and LIME, for...

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...

Facial images captured in real life often get blurred due to motion blur or poor focus. Facial image deblurring plays an important role in surveillance, authentication and biometric applications. Although conventional Convolutional Neural Network (CNN) and Generative Adversarial Network (GAN) based deblurring...

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 study gives a thorough literature review of cloud computing and its impact on four main areas: Healthcare, Cybersecurity, Agriculture, and Education. On the basis of more than 50 peer-reviewed publications published during 2019-2025, This paper explores the trend in technological integrations, challenges,...

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...

Healthcare fraud detection is inherently difficult to model because the available data combine several challenges at once. The number of confirmed fraudulent providers is typically very small compared to legitimate ones. The features are diverse and providers are indirectly connected through shared patients...

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....

Since China’s neoinfrastructure REITs have just started, there is limited research on REITs products and risks in China. This paper analyzes the revenue and risk characteristics of infrastructure such as small hydropower stations and modifies the traditional operating cash flow method, multiplier method,...

To support complex city systems, including transportation, energy distribution, citizen security, and environmental surveillance, smart city infrastructure is increasingly dependent on artificial intelligence. Although reinforcement learning can be used to make adaptive judgments in such settings, conventional...

Cadre management is one of the key points and difficulties in the management of state-owned enterprises. On the basis of human resource big data, this paper introduces talent portrait technology into cadre management and puts forward a model of state-owned enterprise cadre portrait based on big data...

Skin lesion detection using machine learning has emerged as a crucial tool in early diagnosis and treatment planning for skin cancer, particularly melanoma. This research focuses on implementing multiple machine learning algorithms, including Random Forest, Support Vector Machine (SVM), and Decision...

Investor sentiment affects asset prices to a large extent, serving as an important factor in the functioning of financial markets. This article sums up the factors affecting investor sentiment in three following ways. The factors affecting investor sentiment are the starting point of everything. Based...

The sustained and rapid development of financial technology is inseparable from serving the whole society. This paper will take Australia as the data provider to discuss how financial technology has changed ordinary people’s way of life. Especially during the Covid-19 period, financial technology still...

In recent years, cryogenic ceramics and non-metallic materials have emerged as a transformative research frontier, attracting growing attention for their ability to perform reliably under extreme low-temperature conditions. Defined by their dimensional stability, resistance to embrittlement, and superior...

Based on port service data, this study examines the impact of port services on cargo owners’ satisfaction. The structural equation model is used to measure the level of port-related services, revealing the impact of different types of port services on cargo owners’ satisfaction. Based on the research...

With the advent of big data and network era, the interpersonal relationship is getting closer and closer, and the advantage of teamwork is becoming more and more prominent. By analyzing the team competition rules, combining the team members’ abilities, characteristics, and interactions between team members...

Influencers often transcend single content niches, impacting diverse audiences across categories. This study investigates cross-category influencers to understand their role in engagement dynamics, brand collaborations, and network influence. Unlike traditional approaches focused on follower counts,...

Based on the dynamic changes in the price of raw Lithium and the vital application of lithium on an electric vehicle, the impact of lithium price on the stock return of the Electric Vehicle Supply Chain are investigated in this paper. Specifically, the Fama-French five factors model would be used to...

Serious traffic congestion not only affects people’s quality of life, but also increases the economic cost of the city and reduces the efficiency of urban operation. As a typical representative of mountain cities and big cities, Chongqing has a serious traffic congestion problem. Through qualitative...

The idea of fatigue and fracturing mechanics has always been primary in the safety and reliability of structural and mechanical systems, and over the past few years, there has been a paradigm shift between the conventional safe-life design and the damage-tolerant design. This paper intends to review...

With the advancement of China’s reform and opening up, the life goal of the Chinese people has gradually shifted from solving the problem of food and clothing to pursuing happiness. However, everyone has their own definition of happiness, and there are many factors that affect happiness. Based on the...

Food wastage and hunger are two major problems globally, most famously seen in most developing countries like India, where they are the norm. The paradox of excess food wastage and extensive hunger is a major impetus for creative solutions. Zero Hunger, a trailblazing web-based food donation platform,...

This paper introduces the prospect theory based on the traditional game approach, uses the value function in the prospect theory to analyze the evolutionary game process of the entrepreneurial ecosystem of crowdsourcing spaces, and further explores the strategy selection process of each subject through...

As the first of the five new development concepts, innovation is an important underpinning for building a modernized economy. As the leader of innovation-oriented enterprises, high-tech enterprises have great impetus to the national comprehensive innovation capability. Therefore, this paper constructs...

This paper presents Gradelix, a web-based system that helps schools manage student results. It is built using a combination of technologies including MongoDB, Express.js, React.js and Node.js. The system aims to make it easier to manage performance by generating results doing calculations and providing...

The current conventional standard cost forecasting model for power grid production and operation is mainly based on the analysis of historical data of power grid operation by combining with big data technology, which leads to poor forecasting effect due to the lack of analysis of cost drivers. In this...

In order to meet consumers’ demand for instant ordering and instant enjoyment, the front warehouse has become a new metabolite. The rational location of the front warehouse is an important step in the operation of fresh e-commerce enterprises. This paper mainly studies the location of the front warehouse...

As everything is going digital nowadays, online activity is a treasure trove of information to analyze and learn what humans love and how they behave. In this study, deep learning techniques are used to derive behavioral insights based on study questions to gauge relationship compatibility. Utilizing...

Automated analysis of rodent behavior in the Open Field Test (OFT) plays a central role in objective and scalable behavioral assessment within neuroscience research. This paper presents a fully automated, video-based framework that performs arena-aware localization, motion feature extraction, and temporal...

Financial price prediction always plays a vital role for investment decision. This paper investigates the prediction of the close price of LONGi based on linear models and machine learning approaches, including ordinary least square (OLS), Lightgbm, XGBoost, random forest, LSTM and GRU models. Specifically,...

Aiming at the problems that the security boundary of power information system is gradually blurred, and external attacks and internal threats are increasingly serious, the theory and practice of zero trust architecture at home and abroad have constructed a smart grid security protection architecture...

Based on the clarification and general process of data capitalization, this paper discusses the infrastructure construction of data capitalization, the principle of determining the attribution of data asset rights, the dynamic value assessment in the process of data asset redistribution, the practice...

With the rapid development of digital economy, the application of new generation information technology such as big data has gradually transformed enterprise human resource management, forming human resource management under the background of big data. In order to explore its research status and development...

Sanskrit prosody (Chandas) represents one of the most rigorous metrical systems in world literature, combining phonology, morphology, and semantics into strictly governed poetic forms. Automated metrical analysis of Sanskrit text requires precise sandhi resolution, syllable and mora identification, and...

Under the new development pattern, it is necessary for the logistics industry to play its leading and linking role better. Port is an important window for domestic and foreign trade, and the sustainable and healthy development of its logistics system is particularly important. Vulnerability is an important...

Technology upgrades our lifestyle, working culture, and day-to-day activities in this era, Artificial intelligence is playing a vital role in making things easier, embraces human-computer interactions and enhances human knowledge to unprecedented levels. The aim is to develop a small-scale voice-based...

As a new market in 2015, the Chinese options market has the characteristics of information asymmetry. Therefore, searching for a general investment pattern is important. This article analyzes all Chinese stock index options data and reveals the statistical law of the calendar effect in the option market....

Blockchain technology is regarded as a disruptive technology with real potential for change after steam engine, electricity and Internet, and it has huge advantages. Both blockchain and energy internet are technically decentralized, highly autonomous, market-oriented and intelligent, and thus show strong...

Global illumination variations make unpaired day–night image translation challenging. Under such conditions, convolution-based CycleGAN methods primarily focus on local texture translation, often neglecting global lighting consistency, which results in inconsistent sky–ground illumination and noisy outputs....

The issue of food safety is closely linked to public safety and health, and has been a common focus of attention. In recent years, food safety incidents have occurred frequently and food safety issues have stood at the forefront of the attention of the whole society. The reason for this is that there...

With the rapid development of Internet, data science is playing a more and more important role in all fields. Especially in the financial industry, the application level of big data has become the embodiment of enterprise competitiveness. Contemporarily, among many types of data science, deep learning...

In this paper, we use python to code implementation of the classic moving average double mean model in quantitative investment strategies and improve the original model. The improved algorithm generates trading signals on specific breakouts of the EMA triple averages for automatic trading and sets floating...

The implementation of large language models (LLMs) on edge devices encounters three major challenges: the requirement of high computational resources, threats to users data privacy, and degradation in performance resulting from model compression in environments with limited resources is a significant...

Data mining technology has become a very powerful tool to improve organizational competitiveness, organizational performance and service level. Many fields of public management, such as e-government, government performance management and public crisis management, are also in urgent need of introducing...