Atlantis Highlights in Intelligent Systems

The rapid development of the digital economy is profoundly influencing the transformation of enterprises. Digital capability is the core competitiveness of intelligent manufacturing enterprises in the new era and plays an important role in the implementation of digital transformation of enterprises....

The increased development of Large Language Models (LLMs) has presented difficulties in choosing the most appropriate model to use in task-specific applications as they can be different in terms of performance, cost, latency, and safety. This paper will suggest the implementation of a web-based decision-support...

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

To achieve optimal planning of the energy system and stability of this system, it is essential to have precise forecasting of the solar power. Based on long-term solar production and meteorological records obtained at the Annamacharya University in Rajampet, this paper proposes a machine learning-based...

This paper aims to analyze the traditional business model of live streaming e-commerce platforms and propose a solution to build the supply chain of such platforms based on the technologies of blockchain and the internet of things. Combined with the systematic analysis of such problems, such as data...

Efficient inventory management is critical in e-commerce, where inaccurate demand forecasts can lead to costly stock outs or excess inventory. This study presents a scalable, machine learning-based framework to optimize warehouse operations. Historical sales data—including product/store identifiers,...

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

Chinese government has just liberalized the coal-fired electricity price and industrial and commercial catalogue electricity price in 2021, which will prompt fully liberalization of power generation and utilization plans. This paper analyzes the composition of power generation and users after coal-fired...

In the context of urban renewal, China’s economy is developing rapidly. With the premise of meeting the needs of life, people’s requirements for quality of life are increasing. Urban parks are important leisure and entertainment places for citizens. For the construction of city park public, the signage...

Social media is an important influence factor on public opinion. The application of social bots significantly influences the formation and changes in public opinion. This article analyses and concludes the workflow of social bots and divides workflow of social bots into three stages: Deployment, expansion...

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

Online reviews strongly influence purchasing choices in today’s e-commerce platforms. However, due to an increase in promotional, spammy, and deceptive reviews, it has often become difficult for a consumer to get a correct idea about the quality of a product. To mitigate this issue, this paper proposes...

This study uses a One-Dimensional Convolutional Neural Network (1D-CNN) and deep learning to identify obstructive sleep apnea (OSA) from electrocardiogram (ECG) signals. The PhysioNet Apnea-ECG database's ECG recordings were divided into 60-s segments and categorized as either apnea or non-apnea....

In agriculture sector maintaining and improving the leaf health is having important role. This task is obtained by using deep learning techniques and it provides more no of models for analyzing the leaf’s patterns and also it extracts the features from image based leaf data sets. There are two models...

Based on the analysis of China’s tourism data in recent years, this paper uses Python to make visual analysis of the total number of Chinese tourists, tourism income and tourism consumption from 2015 to 2021, compares the tourism data before and after the epidemic, analyzes the opportunities of tourism...

The direction of financial support can affect the development of tourism, and a scientific and reasonable financial support way can help the healthy and stable development of tourism. In order to explore the influence of financial support on tourism development and improve the financial support mode,...

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

This article introduces a vocational skills training system based on intelligent design and virtual simulation technology, and evaluates its application effect. The system provides a virtual simulation environment, intelligent design of learning path planning, and virtual teachers modules, allowing learners...

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

Manual crowd monitoring at public gatherings, religious events, and transportation hubs often causes delays, inaccurate estimates of crowd density, and limited awareness of the situation, especially in busy environments where crowd behaviour changes quickly. This paper introduces a smart vision-based...

Artificial intelligence provides technical guarantee for the improvement of hotel service capability, but it contradicts the original intention of providing customers with a sense of warmth. Based on Markov decision process and questionnaire survey, this study explores the internal mechanism of the relationship...

The central environmental protection inspector is a major institutional innovation in the construction of ecological civilization in China, and it is also the strictest environmental protection system to promote the development of green innovation in enterprises. Based on CRNDS 2010–2020 data, taking...

Personalized recommendation systems and customer segmentation contribute significantly to enriching user experience and optimizing marketing strategies in the retail and e-commerce sectors. Traditional recommendation approaches usually suffer from issues of limited personalization and scalability. This...

Based on the 2015–2019 data of high-tech companies listed in Shanghai and Shenzhen A stock market, this paper empirically examines the causes and solutions of high debt-financing costs for high-tech enterprises. The results show that the cost of debt financing would be higher if high-tech enterprises...

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....

Motorcycle safety is still a big issue all over the world. Riders run into more dangers because they often miss what’s around them. Road conditions can be pretty rough too. Traditional helmets lack smart features to help out. That is where things stand right now [1]. This work lays out a full design...

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 study presents a deep learning-based Sanskrit to Hindi translation system for Bhagwad Gita verses using a sequence-to-sequence (Seq2Seq) model with an LSTM based encoder-decoder architecture. The model is trained on a parallel corpus containing aligned Sanskrit to Hindi verse pairs. Data preprocessing...

In hydroponic cultivation, maintaining proper nutrient concentration and environmental conditions is essential for healthy plant growth. Continuous monitoring of these parameters is therefore an important requirement in hydro- ponic systems. Although several IoT-based solutions have been proposed for...

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...

Pretrained transformer-based models have significantly advanced abstractive summarization. However, selecting the right model for a new dataset remains challenging because exhaustively fine-tuning multiple candidate models for each dataset is computationally expensive and limits the scalability of summarization...

This study analyzes machine learning methods for crop recommendation using an agricultural dataset that contains soil nutrients (N, P, and K), pH value, temperature, humidity, and rainfall. Several machine learning models were used and assessed, including Decision Tree, Random Forest, Gradient Boosting,...

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,...

Forecasters need to change their approach to weather prediction because extreme weather events keep increasing in number and strength throughout Southeast Asia which experiences extreme weather disasters. The implementation of physical-based Traditional Numerical Weather Prediction (NWP) models faces...

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...

Real-time speech emotion analysis is crucial in domains such as call center analytics and human-computer interaction. Although many existing emotion recognition systems achieve high accuracy, they often operate offline and overlook the impact of transcription errors and processing delays in real-time...

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,...

With the increasing integration electric vehicles (EVs), reactive power management is crucial for preserving voltage stability and guaranteeing effective distribution of energy in hybrid AC/DC microgrids. These microgrids integrate DC and AC systems, providing greater flexibility and reliability for...

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,...

Autonomous parking assistance systems are increasingly required to improve the efficiency of vehicle parking in organized environments while reducing the reliance on costly sensor infrastructure. This paper presents a vision-based autonomous parking assistant that detects parking slots and provides navigation...

Traffic congestion continues to be a significant problem in Indian cities which grow quickly because of multiple vehicle types and unpredictable traffic patterns and irregular lane usage. Traditional traffic signal operations that depend on fixed schedules and sensors fail to adjust properly to these...

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,...

Images captured underwater have low contrast, distorted colors, and limited visibility because of light attenuation and scattering in water. This poses a huge challenge in marine organisms monitoring, where species recognition, categorization, and behavior evaluation are performed. We propose a deep...

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...

Convolutional Neural Networks (CNNs) are commonly employed for image classification, but training stability and generalization are difficult due to discretization errors during feature propagation. In this paper, we provide a Modified Runge-Kutta (MRK4) integration approach as a parameter-free post-pooling...

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....

Plant disease detection is essential for enhancing sustainability in agriculture domain, as it enables early detection of any possible crop loss. It allows to have reduced production loss and chemical dependency. This paper proposes deep architectures utilizing VGG16 and VGG19 for automated plant disease...

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...

Human Action Recognition (HAR) is a major field of study in both smart surveillance systems and computer vision. Human activities such as falls or fights are of great concern due to the need for immediate contact to avert injuries and preserve public safety. This research proposes a real-time HAR and...

The increasing frequency and severity of wildfires have highlighted the urgent need for intelligent, real-time monitoring systems. These systems are capable of detecting early signs of forest fire activity. This paper experiments with the real time datasets from various websites with deep learning techniques....

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...

It’s well developed in lane detection techniques for autonomous driving in advanced driver-assistance systems (ADAS). While keeping the vehicle localized in the correct track by detecting lane borders, interference may be caused by the windshield wipers, especially in bad weather conditions. Such annoyance...

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...

Accurate flood forecasting is required for disaster risk mitigation. Risk mitigation, however, a lot of data-driven models are based on synchronous spatio-temporal assumptions which cannot reflect the inherent asynchronous character of flooding propagation. In hydrological systems, stream indicators...

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:...

The primary focus of this initiative is the onboard fast charger of the Electric Vehicles (EVs), on single phase. One of the limiting characteristics of on-board rapid charging density is the power capacity of the converter. The current stress on the current flowing between the inverting segments restricts...

Stray dogs represent one of the major problems in India, according to NCDC (National Centre for Disease Control) reports in 2024 & 2025, including road accidents and dog bite cases. To address this issue, we are developing a web platform that allows public users to submit reports to registered NGOs....

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...

Solar energy has ceased to be a secondary energy source and is becoming an essential part of the contemporary power grid with a growing need to have a sustainable source of generation. However, the system of integrating utility-scale photovoltaic systems with the existing electrical systems presents...

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...