Atlantis Highlights in Intelligent Systems

Aiming at the problem of the invisible area in a manual assembly process, this paper proposes an invisible area assembly scheme based on augmented reality technology. Different location tracking methods are put forward according to whether the objects to be assembled are visible. At the same time, the...

Deep learning has achieved high accuracy in plant disease classification under fully supervised settings; however, real-world agricultural applications are constrained by limited data and class imbalance. To address these challenges, this work proposes an enhanced ambiguityaware semi-supervised learning...

This chapter explores the integration of Light Detection and Ranging (LiDAR) data with multimodal systems such as Visual Question Answering (VQA) to enable robust contextual understanding. The chapter begins with an overview of VQA, including its architecture, various modeling approaches, and practical...

In recent years, integrated bookstores have rapidly emerged in the market with the diversified business model of “bookstore + coffee”, and coffee operations have become a regular feature of new bookstores. National chain brands such as Sisyphus and POPULAR Bookstore have developed the coffee section...

There is still the difficult task of accurate delineation of the COVID-19 infection regions in the CT-based scan of the chest, since the lesions have blurred edges, the contrast between infected and noninfected tissues is low, and the lesion appearance is highly variable. Though encoder-decoder-based...

With the rapid development of the Internet of Things technology and the continuous update and wide application of artificial intelligence technology, the Internet of Things technology and artificial intelligence have gradually penetrated into many industries in human society and have been involved in...

The increasing use of digital health consultation systems shows that technology now plays an essential role in identifying health problems and teaching patients. The existing digital health systems depend entirely on text communication which creates problems for users who need assistance and for health...

This paper proposes the optimum sizing and placement of photovoltaic (PV) units and battery energy storage systems using the Gravitational Search Algorithm (GSA) to minimize the burden on the substation. The solar PV units are allocated for daytime peak load reduction and the evening load is compensated...

In order to complete the construction planning of urban landscapes in urban construction, this article conducted numerical calculations. This study focuses on the construction of ecological cities and combines the theoretical model of landscape design with the design of urban streets and squares. On...

Social recommender systems have become ubiquitous in our online environment, but there are growing concerns that they narrow our horizons and polarize our opinions. This paper proposes a new recommendation algorithm, k-Surrounding Neighbors, based on the theory of weak ties, to increase the diversity...

The healthcare sector is increasingly utilizing drone technology and artificial intelligence (AI) to enhance disease prediction, manage medical supplies, and deliver free healthcare services targeting major causes of death such as heart disease, stroke, and diabetes. These chronic conditions pose serious...

An improved non-local mean ultrasound image denoising method is proposed to solve the problem of poor effect of traditional image denoising algorithm on ultrasound images. In this method the non-local mean filtering algorithm is improved by using the gamma distribution noise model and image block matching,...

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

The currency system in modern society requires people to work for incomes and purchase what they demand. Accordingly, economists are working hard to find out exact patterns in which human-beings earn and spend their money. This paper aims at looking for and describing such a pattern. Through simple charts...

At present, the global digital economy is developing rapidly. How to develop digital economy and enhance the digital competitiveness of Chinese export enterprises is of strategic significance to promoting China’s economic development. General Secretary Jinping Xi pointed out that it is necessary to speed...

In recent years, the task of text to image generation has been an important research hotspot in the field of computer vision and natural language. The purpose of this task is to take a descriptive language text as the input, and then output an image with consistent text content. Due to the instability...

In the era of intelligent information, characterized by rapid advancements in electronic technology and the Internet, high-tech landscapes have emerged and fostered an increase in the demand for intelligent roaming systems in urban park landscapes. Based on the conventional image and video presentation...

Manual claims approval cycles are typically involved in the processing of health insurance claims, as well as delayed approvals, data tampering and poor visibility for both patient, hospital and insurer during the claims cycle. Clamora is a decentralized application utilizing blockchain technology and...

Beam Structures are crucial components in constructions, and damage identification of beam structures is an important research filed in engineering. Swarm intelligence algorithms have been widely used in structural damage identification for the past few years. The Big Bang-Big Crunch algorithm is one...

Predicting Gestational Diabetes Mellitus (GDM) is crucial for pregnant women to enable regular monitoring of their blood sugar levels and adherence to a healthy diet. Early intervention can significantly lower the risk of developing this condition. To assess this risk, Machine Learning (ML) and Deep...

The design of CMOS based analog circuits has become progressively more challenging as device scaling advances. The transistor sizing strongly influences the performance metrics such as power dissipation, silicon area, unity gain bandwidth, slew rate, and open loop gain. This makes an analog circuit design...

To combine the advantages of VAEs and GANs to generate both diverse and high-quality samples, this paper proposes ED-VAEGAN which improves encoder and decoder loss of traditional feature-wise VAEGAN [4]. More precisely, a reconstruction score term is added to encoder loss function, which accelerates...

Facial skin tone classification plays a vital role in dermatological AI and the beauty tech industry, enabling personalized skincare, inclusive representation, and health monitoring. Accurate tone detection supports product customization and helps reduce bias in computer vision systems. However,...

As the only driving source of pure electric car, the motor system is the top priority of research and development, so the efficiency of the motor directly affects the energy consumption of the whole vehicle. Among all types of motors, permanent magnet synchronous motor (PMSM) has attracted more and more...

In todays’ world everyone starting from a child to an adult is studying stocks and is finding ways to earn more by studying the patterns of the market. Stock market is a compound interrelated system of various investors. It fluctuates frequently and hence is hard to predict what is yet to come. All the...

In the data processing with carrier phase, how to obtain the ambiguity value of the carrier phase accurately and efficiently is an important problem in the precision positioning data processing. This paper summarizes the processing of the integer ambiguity data.. In this paper, integer least squares...

User-generated reviews are written by people who have used medications to describe their experience. Drug reviews include descriptions of the effectiveness of the drug, side effects experienced, and the patient’s overall level of satisfaction. Although reviews of medications provide valuable real-world...

A network survey was conducted in this study with public insights such as comprehension, late management, cost assumption, expectation, design, of greening. The results reflect that, on the whole, there still exists insufficient and incomplete knowledge of citizens for top greening, due to their limited...

In recent years, high-tech enterprises have developed rapidly, and their total economic output value has occupied an important proportion in the total output value of China’s national economy. The high-tech enterprises to the contribution of China’s science and technology and economy have the driving...

Building a digital China is an important engine for promoting Chinese-style modernization in the digital era and a strong support for building new competitive advantages of the country. With the help of Nvivo 14 software and following the general paradigm of programmatic grounded theory, this paper carries...

Liver disease is currently a significant societal health issue in many countries around the world, and the causative factors include alcohol abuse, food poisoning, drugs, and environmental pollution. This needs to be identified early and handled effectively to slow down the progression of the disease...

Chinese folk art has a long history and bears splendid traditional cultural characteristics. In different historical periods and regions, works of different forms, beautiful styles and distinctive ethnic characteristics have been created. With the rapid development of computer technology, computer art...

There is an increasing demand for remote sensing image classification in many civilian applications. Inputting the feature map into the convolutional neural network can obtain more abstract features of the input feature map, and this ability can be applied to remote sensing image classification. The...

This paper presents a bi-normalized frequency estimation algorithm which contains a two-dimensional state estimation equation and a one-dimensional frequency update rule coupled with it. The robustness of the algorithm is that the frequency estimation convergence is no longer subject to the actual value...

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

The elderly-friendly furniture were required in china, since china became an aging social. The function & emotion design were required in elderly-friendly furniture. Using traditional Chinese cultural image sign in elderly-furniture deign was a good job, it brought the aging consumer fantastic feeling....

Aiming at the problem that the standard particle swarm optimization algorithm has a slow convergence speed and easy to fall into the local optimum, the method of region-division is introduced to dynamically adjust the inertia weight and learning factors of the particle to achieve the balance between...

In the era of big data, information exchange is more convenient and faster, and its frequency increases rapidly. As a result, the demand for language services increases, and the importance of business English gradually highlights. With the rapid growth of business English learning, there is a great demand...

In an evolving supply chain management landscape, accurate demand forecasting and inventory management are critical for cost reduction and meeting customer demands. This paper proposes a machine learning model to forecast food demand and manage inventory using real-world data such as fulfilment centre...

This paper makes use of econometrics software EViews to explore the impact of the digital economy on the high-quality development of the service industry by establishing a multivariate linear regression model, using ordinary least square (OLS) method for the parameter estimation. And to make recommendations...

The global medical supply chain, particularly for critical items such as vaccines and pharmaceuticals, faces challenges including low transparency, counterfeit products, slow recall processes, and inadequate tracking of usage and waste. Centralised systems struggle to give an immutable, auditable trail...

As technology advances, big data and the Internet of Things are permeating all industries. This study examines how digital transformation affects the innovation performance of new energy enterprises in China using panel data from 2013 to 2023. It also analyzes the mediating role of total factor productivity...

With the continued impact of the new crown epidemic on the general social environment, the medical device industry has ushered in great opportunities. Among them, Andon Health is developing rapidly, and the company’s market capitalization surged 10 times within a year, making it the leading company in...

The quality of machine translation depends on the corpus available for it to learn from. With the development of AI, the translation corpus is now the key to realize Intelligent translation and scenario-based translation. The data on the Internet, data of the enterprise, user-generated data, machine-generated...

During emergencies and pandemics, such as COVID-19 or Mpox, the massive demand for critical resources, including hospital beds, has significantly challenged healthcare systems. Reducing the pressure on these systems is crucial and requires an efficient strategy for patient allocation. This paper proposes...

In this work, a Boost converter is modeled using Machine Learning Algorithm. Bayesian Regularized ANN is used in this work for reducing the lengthy cross-validation and the usage of neural networks to fit the data appropriately. First the boost converter is modeled using state space analysis. The stability...

The digital transformation of the economy represents the general trend. In order to effectively control the investment risk of grid digitization projects and adopt risk-coping strategies with foresight, construct an investment risk evaluation model for grid digitization projects by optimizing the kernel...

Coal miners encounter significant dangers because of the challenging conditions they face underground, necessitating strong safety protocols. This endeavour introduces a Smart Safety Helmet powered by IoT, with Arduino serving as the primary controller, designed for instant monitoring and emergency notifications....

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

Efficient healthcare management depends on accurate prescription handling, proper medication adherence, and continuous monitoring of patient health conditions. In everyday situations, many patients find it difficult to understand prescription instructions, remember dosage timings, or consistently follow...

Satellite communication system design engineers are often concerned with the attenuation caused by propagation in rainfall while ignoring the influence on microwave propagation on satellite-earth link in satellite communication on cloudy, foggy or rainy days. This paper comprehensively gives a calculation...

The development of the digital economy has given Chinese companies great opportunities to achieve high-quality development. At the same time, due to the weak foundation of digital transformation in Chinese enterprises, the degree of industrialization and information integration needs to be deepened,...

In this paper, taking the preparation of C4 olefins by ethanol coupling as an example, we discuss an optimization model based on partial least squares method. First of all, build a univariate polynomial regression model, and analyse the effect of temperature on the selectivity of ethanol conversion and...

In the era of digital economy, the integration of modern festivals and traditional cultural heritage has gained new momentum through innovative cooperation. This article explores the successful cooperation between Dali Piano Art Festival, Yunnan Wamao, and digital platforms using cooperative game theory....

Machine Learning (ML) has revolutionized the banking sector by enabling precise customer segmentation, marketing, and fraud analysis. This study entails predicting customer churn from a credit card customer dataset, which is demographic, transactional, and account-based. Supervised Machine Learning algorithms...

Aiming at the uncertainty of enemy target cluster number in aerial targets clustering process, an improved affinity propagation(AP) algorithm is adopted to determine the target cluster number and clustering result. Firstly, Between-Within Propagation(BWP) index is used as the measure of cluster effectiveness,...

Guanxi is an unique concept of China, which loosely equals to “social relationship”. This passage investigates the relationship between guanxi and household portfolio efficiency. We use factor analysis to measure guanxi in a numerical approach. To solve the possible endogenous problem, we chose “whether...

An electroencephalogram (EEG) is a non-invasive method used to measure brain activity and is used in various applications, such as medical, security, marketing, gaming, and brain-computer interface (BCI). EEG signals are high-dimensional and redundant in nature, which significantly complicates the channel...

Under the stimulus and promotion of socialist market economy, various large space architectural forms gradually increase. In such as workshop, workshop, exhibition, hotel and other large space occasions, often need to lay carpet on the ground. Most large space occasions, directly using manual carpet...

Autism Spectrum Disorder (ASD), as a developmental disorder, causes difficulties in social interaction, communication, sharing emotions, making their education and daily life complicated. We aim to help these children and their parents to reduce cognitive impairment, maximize independence and improve...

In the tire production line, it is usually necessary to trim the blank tires to finished tires according to the sharpness of tire angle. If the determination of tire angle is made by mistakes, it will cause the tire to be a waste for choosing a wrong scraper. In order to determine the sharpness of tire...

Inclusive finance aims to provide universal, beneficial and fair financial services for poor areas, small and medium enterprises (SMES), low-income groups and other vulnerable groups. After the epidemic, financing difficulties of SMES are prominent and shows new features. In this paper, the application...

A power system stabilizer (PSS) is a device that provides additional damping torque to the power system during the mitigation of oscillations caused by various sorts of disturbances. Bio-Inspired Optimization Algorithms are used to construct PSS on a Single Machine Infinite Bus (SMIB) system and two...

With the rapid development of information technology and economic level in modern society, civil society has opened up the era of intelligence, among which artificial intelligence technology provides opportunities and possibilities for the development of public services in the new era, which can meet...

This paper uses B/S mode to build an international trade business information system. International trade enterprises will generate a lot of data and information in the process of conducting transactions. In order to smooth the transaction process and ensure that there are no errors in the transaction,...

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

As a representative technique of artificial intelligence, machine learning could explore the relationship between stock market anomalies and excess returns, and hence develop investment strategies with high performance. This paper provides a comparative analysis of machine learning algorithm applications...

Maternal and fetus health surveillance is crucial in curbing pregnancy complications and maternal and fetal death though traditional hospital-based surveillance systems are periodic, resource-demanding, and demand physical presence making it to be slow in the early identification of critical health abnormalities,...

Gait abnormalities can significantly impact an individual’s mobility and independence, necessitating timely assistance and intervention. Gait analysis plays a crucial role in healthcare and assistive technology, helping identify mobility impairments and providing necessary support. However, existing...

The purpose of our study is to investigate the application of Modern portfolio Theory in the stock markets and design an investment strategy for risk-averse investors. The principle of the Modern portfolio theory is mean-variance analysis, that is we use mean and variance to measure the expected return...

The current situation of our country is a big country with serious population ageing, and the proportion of the elderly living alone is the largest among them, most of the children of the elderly because of work needs, can not be taken care of around. Therefore, to improve the life quality of the elderly...

Limited by various conditions, the features of mammography images are difficult to extract, so it is hard to classify them. The paper proposed a method based on deep learning method to classify benign and malignant mammography images. The convolutional neural network concludes four convolution layers,...

In recent years, deep learning (DL) and neural network models have become hot topics in new research directions in the field of machine learning and artificial intelligence. In order to protect our traditional wooden buildings, this paper applies the research of DL in IPPR to traditional wooden building...

The rapid evolution of artificial intelligence (AI) technologies has profoundly impacted various industries, with the cultural sector emerging as a pivotal area where AI’s influence is particularly notable. The cultural industry, encompassing art, design, media, and entertainment, inherently values creativity...

Multi-traffic scene perception is critical for the safe routing and tracking of autonomous vehicles in complex urban environments. This paper proposes an enhanced YOLOv8-based vehicle detection framework for top-view traffic scenes by integrating Channel Attention Modules (CAM) and Multi-Scale Feature...

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

This paper applies transferring learning to facial colorization and The main body is based on DNN. However, considering the less complexity of the dataset and the equipment constraints. We extracte global features from VGG16 pre-tained model instead of Inception-resnet-v2. In adition ,we cmpare the test...

This research focuses on task allocation in a diverse workforce to address the challenges modern companies face in the competitive business environment within the context of Industry 5.0. It examines the potential of Simulation-Based Optimization (SBO) in resolving these issues. Initially, a mathematical...

With the accelerated integration and innovation of artificial intelligence technology in the field of medical devices, medical devices continue to develop in the direction of automation and intelligence, and artificial intelligence medical devices have gradually become an important subdivision of the...

This paper focuses on more accurately and efficiently detecting the presence of brain tumors from their Magnetic Resonance Imaging (MRI) scans, leading to improved clinical decision-making and treatment outcomes. Medical image classification frequently uses deep learning models that must deal with complications...

The portfolio problem refers to investors or financial institutions that, in managing investments in all types of bonds, stocks, peripheral financial products, depending on the proportion of value held, constantly recombine to achieve stable and loss-free profits, but also to ensure that risk is minimized....

The identification of power equipment using visible image and deep learning methods has become widespread in the power industry. However, current deep learning algorithms often face issues related to large model parameters and high hardware requirements, making it difficult to integrate them into mobile...

This article achieved the large-scale Mongolian text corpus from CCTV and some other news websites, and conducted statistics and analysis on the Mongolian syllables in this text. From the statistics and analysis, we can see that the possibility of the co-occurrence of the different Mongolian syllable...

Through the discussion on the operation status and existing problems of the coordinated development of human resources and regional economy in Colleges and universities, this paper establishes an index system, constructs an evaluation model of the coordinated development of human resources and regional...

The traffic accident rate and severity of mountain highways in China are high. Long downhill tunnels, as important sections, greatly affect the safety of the whole highways. Therefore, it is of great theoretical and practical significance to establish the traffic safety evaluation index system for long...

In this paper, aiming at the display method of improving the pulverization process of gas atomization pulverization equipment, through the research on the simulation status of gas atomization pulverization process and the simulation status of particle system method, it analyzes and summarizes the feasibility...

In order to study the residents’ intention to install charging piles in the renovation of old communities in non-first- and second-tier cities in the north (taking Haigang District of Qinhuangdao City as an example), based on the theory of planned behavior, this paper constructs a theoretical model of...

Robots are better equipped to communicate through movement than through spoken language. Herein we propose a method of specifications of tasks for disabled people in terms of robotics service. This helps to implement an automatically working system that will replace the efforts of human so disabled people...

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

Musical expression of piano performances by some distinguished pianists has been analyzed by the authors. In the analysis, the tonal tension and attraction models have been used, those are introduced in the literature of the generative theory of tonal music named “Tonal Pitch Spaces” by F. Lerdal. From...

Breast cancer remains one of the most prevalent and life-threatening diseases affecting women worldwide. Early diagnosis plays a critical role in enhancing patient survival outcomes. While histopathological analysis—examining tissue samples under a microscope—is the gold standard for diagnosis, it is...

The development speed of the Internet in my country has been increasing in recent years, and the number and scale of Internet users have also been increasing and expanding. The development momentum of the e-commerce industry based on the rise of Internet platforms is also very rapid. In the Internet...

Currently, the world is going through an AI and ML revolution, and we have seen tremendous growth in the implementation of AI in various sectors over the last decade. Conventional AI-based systems were implemented in a cloud-centric environment, using servers with high processing power, ample storage,...

Rolls are the most important parts in the steel production industry. The roll lifecycle management method is put forward in this paper, so as to effectively control the production cost of rolling mills and improve the quality of rolling products. RFID (Radio Frequency Identification) technology and roll...

Electric vehicles have become much more common in our daily lives as a result of technological advancements. This may cause tremendous growth in the consumption of electrical energy. The globe is moving toward the alternative energy generation as a result of global warming and the depletion of fossil...

This paper addresses the online surgery planning and scheduling problem for operating rooms and recovery beds. We aim to minimize the makespan by dynamically assigning surgery dates, operating rooms, and recovery beds. Our integrated framework uses a Mixed-Integer Linear Program (MILP)...

The development of digital technology has changed the socio-economic mode and spawned new forms of foreign trade such as cross-border e-commerce. As the world's largest free trade agreement, the regional comprehensive economic partnership agreement (RCEP) has made many provisions on e-commerce and...

The paper studies the relationship between green innovation, financing constraints and financial performance of listed companies, using the sample of the A-share listed companies on the Shanghai and Shenzhen Stock Exchanges from 2010 to 2019. The study finds that the financial performance of listed companies...

The problem of mental health becomes more widespread in the world, whereas the possibility to receive timely and stigma-free help is minimal. This research will help to satisfy the demand of a convenient and smart system of mental health assistance by designing the role of AI-based companion that would...

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