Atlantis Highlights in Intelligent Systems

The rapid growth of IoT has significantly increased network traffic, making modern systems more vulnerable to DDoS attacks. Traditional security mechanisms struggle to detect such attacks effectively due to their dynamic and large-scale nature. To address this challenge, this research shows an exhaustive...

Most of the crop supply systems in urban areas face multiple challenges such as food waste, limited access for small scale producers and excessive costs. This model covers all agri-producers- both farmers and home growers in urban context. This paper presents Urban AgriFlo an all-in-one AI powered platform...

Obtaining key feature elements based on design requirements is a fundamental task in the product design process. To explore the role of feature recognition in product design in algorithmic classification. This study explores the feasibility of using algorithmically derived product visual features to...

Intelligent technology gives new vitality to the sports industry. The innovative use of new technologies such as big data, blockchain, Internet of Things, cloud computing and artificial intelligence in the Asian Games has not only improved the efficiency of event operations, provided quality services,...

Without any question, the stock markets are the engine to generate the big data, which become an active part of digital economy. The big data provide rich opportunities through internet to combine various technologies with the issues raised in the economic developments in modern society. Whether a stock...

The global wildlife trade is a massive industry, with over 36,000 protected species and profits exceeding $20 billion. While this trade brings huge profits to those involved, it also increases the risk of zoonotic diseases. To analyse the wildlife trade, we used the CITES trade database, which contains...

Intelligent technology is a new computer technology applied in the field of sports in recent years, which can effectively improve the effect of sports skill training. This paper analyzes the characteristics of intelligent technology, describes in detail the importance of virtual reality technology in...

This thesis focuses on exploring the impact of digital economy on the development of new rural e-commerce, based on the data of indicators of rural e-commerce development in Zhangzhou from 2017–2022, and analyzing and predicting the impact of digital economy on the incremental development of new rural...

The results show that the development of digital economy has a significant positive effect on the industrial structure upgrading, and the effect of digital economy after the threshold value; the development of digital economy can promote the industrial structure upgrading by promoting the consumption...

A-T model of the modified hydrodynamics, is widely used in metal projectile and target materials, good prediction accuracy for penetration depth in penetration process. But the Rt (target defense force) is determined relatively difficult, lack of real physical meaning to widely accepted the Rt of calculation...

Central bank digital currency (CBDC) is a digital form of sovereign currency issued by the central bank of a country based on national credit. The e-CNY pilot scene of the Winter Olympics once again demonstrated China’s leading position in the field of CBDC, but the promotion of e-CNY still faces many...

This study takes the Kansei characteristics of electric toothbrush products based on Kansei engineering and Internet comments, aiming to explore the differences and commonalities of diverse design elements. Data sources are mainly user comments on e-commerce websites. This paper studied the label word...

This study examines the teaching of software design and development using an active learning approach centered around a practical IT project. Students were organized into groups and tasked with developing a functional software product based on specific requirements. Throughout the project, teams encountered...

Voltage Source Converter (VSC) transmission dependent on High Voltage Direct Current (HVDC) is viewed as a potential force transmission in future. This paper focuses on the way the dependable VSC-HVDC unwavering quality between seaside wind ranches and beach front lattices. In addition, a large-capacity,...

Deepfake detectors trained on a single dataset often fail under unseen manipulations because they rely on dataset-specific artifacts rather than facial characteristics. We propose a physics-informed deepfake detector that grounds decision-making in anatomical invariants of real faces, such as bilateral...

Dental disease is considered to be one of the biggest healthcare issues worldwide, and the most widely distributed chronic infection known today. The identification of dental issues via image assessment early on can help dentists develop better treatment plans and manage more severe health issues sooner....

In this paper, the ansys stress simulation technology under workbench environment is applied to the normal stress on the cross section analysis of pure bending of curved beam and beam deformation analysis, the results of simulation image intuitive shows the normal stress distribution on cross section...

In recent years, with more and more Chinese learning English, there are more and more English learning software, but most of the software are lack of good pronunciation evaluation and feedback correction. However, in English pronunciation learning, especially for non-native English learners, effective...

The growth of cryptocurrency and decentralized financial systems has been very rapid, which has also increased the risk of fraudulent transactions. Traditional fraud detection techniques are usually based on centralized data collection, which raises serious concerns about data privacy, data security,...

This paper focuses on the significance of logistics digitalization and industry integration under the background of normalization of epidemic prevention, proposes a model of the current logistics digitalization and industry integration, and then takes an example to analyze the coupling and coordination...

This paper introduces AIVA (AI-powered Interview Verbal Analysis), a novel system that combines advanced speech-to-text technology with natural language processing (NLP) to automate interview analysis. AIVA integrates a fine-tuned Whisper model optimized for Indian English accents with a large language...

This research has been focussed on to the design and development of sustainable ozone layer to restore back global warming potential into original conditions . The Sustainable ozone layer is a kind of new Ozone layer development that meets the needs of the present generation’s ultraviolet radiation protection...

Until now, China’s financial accounting has experienced three stages, manual accounting, accounting computerization, and intelligent accounting. Recently, with the development of artificial intelligence (AI), various kinds of intelligent financial software and tools are introduced into the accounting...

With the rapid development of the Internet, a large number of vocational education software are emerging. Most vocational education and training institutions need to purchase or develop vocational education systems and deploy their own software and hardware environments, and there are some problems such...

Artificial Intelligence (AI) technology, which was out of reach in today’s society, has become commonplace, and chatbots are commonly used in a variety of industries. This paper describes the development of chatbots and their market potential. It describes the scenarios and innovations of three representative...

Diabetes mellitus is a problem that affects many parts of the body and gets worse over time. near of the ways we try to predict what will happen to people with Diabetes mellitus only look at one thing at a time. This study is trying to do something. It is trying to make a system that can predict all...

Based on data from Chinese A-share manufacturing firms, this paper examines how digital transformation affects total factor productivity (TFP) in the industry. After addressing endogeneity and other issues, the study finds that digital transformation significantly boosts manufacturing TFP. It has become...

To solve various problems caused by the uncertainty in the development process of discrete manufacturing industry represented by aerospace of aerospace, an intelligent manufacturing architecture is proposed. Complementary to the system, the procedure for modeling the product variety and quantity uncertainty...

In the information age, big data, an important modern information technology, has been developed rapidly and has realized the penetration into many fields. The higher education is one of them. In the view of big data, the civil engineering course teaching in Colleges and universities must take the way...

A fast-growing population, rising number of smart cities, and exponential usage of electronic gadgets have all contributed to a growing demand for electricity, possibly causing menacingly high levels of carbon emissions and atmospheric pollution in India. These energy sources do not release any greenhouse...

Shape-driven is a key factor that affects nanostructure materials and its response to magnetic fields and its energy loss. This makes it a useful design parameter for biomedical and nano-actuation applications. In this study, we present the methodical synthesis and thorough examination of shape-engineered...

This paper deals with the major and growing threat of ransomware, which causes significant financial and business losses by using developed multi-stage attacks. The modern threat environment has changed to Ransomware-as-a-Service (RaaS) format and polymorphic code, making past security models that used...

The in-depth development and all-round expansion of digital economy has promoted China’s economic development and accelerated the process of urban-rural integration. This article selects panel data from 30 provinces in China from 2013 to 2020, establishes valuation index systems to measure the level...

Contemporarily, Long-Short Term Memory Model is becoming a widely applied machine learning models in time series data prediction. This article introduces background of LSTM Models and its concept with an application example to propose some perspectives and expectations on cryptocurrency price prediction...

In order to solve the problem of backward and low efficiency of missile position’s operation and management. The integrated management system based on the 3D GIS platform was developed by using the technical advantages of 3D GIS and Internet of Things technology in data management, visualization and...

Based on the situation of the development of new energy automobile industry in Sichuan Province, this article analyzes the problems in the development, demonstration and popularization of new energy vehicle industry. Combining Sichuan's “13th Five-Year Plan” strategic emerging industries planning, it...

Energy big data has great potential application value in promoting the flow of energy resources on demand and the optimization and transformation of energy structure. Based on the investigation of national energy information system and energy industry enterprise big data platform, the development orientation...

In the era of AI, machine learning theory has developed rapidly, and its application in the financial field has become a hot topic. Machine learning methods can effectively reduce operating costs, monitor risks and expand services. This paper summarizes the application of machine learning in the field...

Machine Learning (ML) and Deep Learning (DL) have emerged as powerful techniques in many fields, including speech recognition, cybersecurity, text generation, financial fraud detection and medical image analysis. There are numberless Image Processing (IP) techniques used for processing, analyzing and...

This study delves into the evolving demands on e-commerce talent in the “mass entrepreneurship and innovation” era, focusing on the synergy between academia and industry through internet-driven practices. It analyses e-commerce trends and the impact of internet technologies on required skills, proposing...

The current fast-moving agricultural environment presents multiple difficulties to farmers because of their restricted access to current precise information. The lack of information creates sustainable damage to agricultural production since crop yields suffer and farmers risk their long-term farming...

Games, a key way for people to connect, have evolved into booming online games today. They drive economic growth, transform entertainment, and serve as a bridge for cultural exchange. However, embedding Chinese culture in games is vital for cultural “going global”, despite China’s success in developing...

Aiming at the problems of low accuracy rate and recall rate and poor completion of recommended paths in enterprise financial risk prediction methods, based on machine learning algorithms, a method of enterprise financial risk prediction based on collaborative filtering is proposed. Build the overall...

In recent years, China’s investment in intelligent education and informatization is increasing, and many English intelligent education and online education platforms emerge as the times require. These platforms have changed the traditional English education mode and effectively supplemented the traditional...

With the rapid growth of the world population and the decrease of the cultivated land area year by year, people begin to re-examine and evaluate the carrying capacity of our land. The article absorbed the idea of sustainable development, and finished the interpretation of the connotation of urban carrying...

Discourse coherence prediction, essential for automated essay scoring, dialogue systems, and multi-document summarization, is hindered by the inability of existing Graph Neural Network (GNN)-based Natural Language Processing (NLP) models to capture dynamic, multi-granular contextual dependencies. We...

To provide a museum APP gamification process framework and design method, which can play an effective role in better spreading museum culture. Through the study of museum APP gamification design under MDA model, verify the feasibility and necessity of gamification design in museum APP, explore the museum...

In order to accurately evaluate the digital project of power grid enterprises, and the characteristics of existing research, a new combined evaluation model organically combines hierarchical analysis, entropy, radar map and support vector machine. First combine the empowerment, then integrate the decision...

Foreign direct investment enterprises have become an important part of China’s economy, and it is an important medium for China to participate in world economic activities. This article uses the Getis-Ord General G index, Getis-Ord Gi* index and geographic detector model to analyze the evolution of the...

Alzheimer’s disease refers to a progressive the neuro degenerative condition that causes an irreversible deterioration in memory, reasoning, and cognitive functions, presents great problems to patients, families, and the health care system. The effective clinical management of the disease requires accurate...

Preventing and mitigating commercial bank risks is an important part of promoting the high-quality development of the financial industry. Whether and how the digital transformation of banks mitigates their risk level has important research value. This paper takes the sample of commercial banks from 2011...

Gas disaster is a great challenge for coal mine enterprises to work safely. Once gas disaster happens, people’s life and property safety will face great threat. High precision prediction of gas emission is an important measure to improve gas prevention and gas control, and it is of great practical significance...

In this paper, an effective controller design for the BLDC motor drive is proposed using nature inspired Whale Optimization Algorithm (WOA). The PI controller is developed for the speed control of BLDC motor using Whale Optimization Algorithm. The gain settings of a PI controller are improved using WOA,...

The study of change and influencing factors in the Chengdu-Chongqing city cluster may contribute to science and technology innovation, as well as enrich existing population geography theories, expand the scope of application of multivariate statistical analysis by exploring factors that influence the...

The credit industry’s continuing expansion depends on the application of modern information technology to lower the risk of credit default. Traditional credit default prediction model research places too much emphasis on the model’s accuracy while ignoring some of its most important characteristics....

The Vision-to-Voice system transforms the comic books stories into engaging audiobooks. The system uses Bootstrapped Language-Image Pretraining (BLIP) for feature extraction and Optical Character Recognition (OCR) for text extraction. Major visual aspects and text in comic panels are detected and translated...

Question answering is an indispensable part of the teaching process. The effect of question answering largely depends on the form of the link and whether it can meet the individual needs of students. The traditional teacher learner face-to-face question answering and e-mail question answering can not...

Ovarian cancer remains one of the most lethal gynecologic malignancies due to late diagnosis and frequent recurrence after treatment. Accurate prediction of both survival and recurrence risk is essential for personalised clinical decision-making. This research work proposes a Multi-Modal Supervised Contrastive...

In today's world, face recognition is widely used in biometric security systems like border control, passports, identity verification, and so on. These systems are vulnerable to face-morphing attacks, where two or more face images are blended together to make a real image that can fool a whole verification...

By building a supply chain finance platform based on the Internet, informatizing and networking the financial chain business and realizing network-based supply chain business management with the help of information technology, it can greatly promote the efficiency of supply chain-related business management....

Human fall detection is an important area of concern in the context of healthcare monitoring systems and is a significant issue. Automatic fall detection systems help in the prevention of fatal injuries and rapid medical care for senior citizens living alone, children left alone, as well as in various...

With Tianjin folk art intangible cultural heritage Yang Liuqing New Year paintings, Clay Figure Zhang and Kite Wei as the research background, 24 graduation design works of Tianjin University of Technology are taken as the case study. To explore the elements of the integrated design method of intangible...

With its unique challenge and excitement, the stock market has attracted many scholars and investors to study it, especially in the new field of investment transaction and computer technology, and has made a series of achievements. Using the time-series price data of gold and bitcoin, our team builds...

This paper sorts out the influencing factors and formation mechanism of corporate green innovation, and determines that the two-dimensional regulatory pressure of mandatory pressure and incentive pressure, and the three-dimensional normative pressure of customer environmental protection pressure, competitor...

In this paper, natural image classification based on deep learning is studied. Image classification is an important research direction in the field of computer vision. With the rapid development of Internet and mobile terminals in recent years, the number of pictures in various social networking sites...

Data integrity is of paramount importance to the operation and analysis of Microgrids. This paper has developed a functional blockchain system incorporating digital file hashing. The system provides the means to detect file tampering contributing to the advancement of data transparency and security....

The inter-provincial panel data of China from 2015 to 2019 is used as the data source of this paper. Firstly, a comprehensive evaluation index system of digital economy is established, then the comprehensive development level of digital economy is calculated by entropy method. Secondly, this paper empirically...

By selecting the data from the National Bureau of Statistics and the People’s Bank of China from the first quarter of 2005 to the second quarter of 2020, the VAR model was established, Granger causality test and impulse response function were used to analyze the dynamic relationship between banker confidence,...

With the continuous development of local tourism big data and artificial intelligence technology, it provides the necessary conditions for the construction of local intelligent tourism class auxiliary service and decision-making platform. In this paper, data collection and preprocessing of data from...

With the advent of the information society, the new technological revolution represented by the development and application of modern information technology is bound to accelerate the process of enterprise informatization in our country. As the basic work of enterprise management, financial archives...

This comprehensive report presents an in-depth analysis of our groundbreaking research on improving Natural Language to SQL (NL2SQL) conversion through the application of modern Large Language Models (LLMs). We meticulously fine-tuned and rigorously evaluated five distinct language models—T5 (serving...

Driver drowsiness is a critical and persistent concern on modern roadways, and most of the accidents due to drowsiness can be avoided by detecting them in time. Previous works mostly rely on either a single-parameter cue, like thresholds on blink frequency or eye aspect ratio, or head-pose deviations....

Zero waste cities will become the model of sustainable cities in China in the future. In order to build a smart and low-carbon city and promote the construction of a zero waste city, Shenzhen city of China has adopted the platform of intelligent construction waste management system to collect and monitor...

With the development of science and technology in the world today, humanity has entered a digital high-tech information era, and the wide application of digital media has also been reflected in various fields. Looking at the current society, film, music, projection technology, and other technological...

Stock predicting is one of the most common topics nowadays. For decades, the stock has been one of the most significant problems in people's life. Many people wish to obtain a higher opportunity to profit by pouring their fortune into the economic market. Consequently, the stock price prediction...

Stock investment, as an investment behavior, faces various situations of unknown uncertainty, therefore, it is very important to reduce the unsystematic risk of stocks and eliminate uncertainty by various means and technical methods for investing in stocks. In this paper, we will use python and the data...

Accelerating the construction of educational informatization and leading the construction of virtual simulation experiment teaching center is an important reform plan put forward by the Ministry of education in the information age. Today’s era has entered the information age. Advanced science and technology...

The rapid proliferation of malware and the sophistication of evasion strategies have diminished the effectiveness of traditional signature-based detection approaches. While static analysis is computationally efficient, its susceptibility to evasion remains a challenge; dynamic analysis offers behavioral...

In recent years, the user base of WeChat mini programs has experienced a consistent growth. This study employs a linear regression approach to forecast the future monthly active user count for these mini programs. Throughout our research, we utilized two distinct methods to independently determine the...

This study evaluates the effectiveness of nano enriched repair mortars in restoring the mechanical and durability performance of concrete exposed to elevated temperatures. Concrete structures subjected to fire or thermal loading experience significant strength loss, deterioration of bonding zones, and...

Gold and bitcoins as a typical liquid asset, gold and bitcoin as two types of investment options are favored by many investors in the market, but how to make a portfolio investment, the biggest return in the limited principal conditions, is a matter many investors are concerned about. Based on the historical...

Aiming at the problem of transfer between urban rail transit and conventional bus, we select four first level indicators such as efficiency, convenience, comfort and synergy as well as ten second level indicators. Firstly, expert scoring method is used to calculate the indicator weight, then the analytic...

Marine fishery is a national strategic industry. China’s marine fishery started in 1985 and has become one of the major marine fishery countries in the world after more than 30 years of development. The research explore the design method of marine fishery service system under the sustainable concept,...

Behavioral data comes from a large database that collects data on students’ use of their campus smart cards. The main work of this paper includes: (1) firstly, this paper summarizes the research status of student behavior analysis and educational data mining technology at home and abroad, and further...

This paper introduces a consolidated, edge-native architecture engineered to evaluate four distinct medical imaging modalities—retinal fundus photographs, dermatoscopic lesions, thoracic X-rays, and cranial MRI—directly on consumer-grade mobile hardware. Rather than relying on cloud connectivity, we...

With the rise of e-commerce and community marketing, it is particularly important to understand consumer behavior in the online community environment for the development of enterprises and community economy. Based on the theory of environmental psychology and from the perspective of online community...

The data-driven data link comprehensive evaluation method is mainly used for heterogeneous business data management and intelligent analysis of test data in data link comprehensive testing. Heterogeneous business data management provides testing services such as storage, invocation, and management of...

In order to quantitatively analyze the enabling effect of digital economy on urban international trade from the city level, based on the sample data of 133 major prefecture-level cities from 2013 to 2019, the impact of digital economy on international trade is analyzed by using fixed effect model. The...

Recent advances in artificial intelligence have led to the development of systems that can interpret visual agricultural data and support decision-making at various stages of crop growth. This paper presents an integrated plant intelligence framework that combines structured JSON-based crop knowledge...

The present paper describes a Smart Autonomous Guided Vehicle (AGV) with a new Triple- Mode Navigation system and a specific mobile application interface created with Flutter. The AGV enables the flow of line following based on the IR sensors, manual control through the application, and automatic minimum...

Under the background of big data and cloud computing, computer network security is facing new security threats, and big data also provides a big data foundation for the application of artificial intelligence technology in computer network security detection system. This paper studies the application...

With the development of computer technology and network technology, the application of computer in the field of education is more and more widely. In modern teaching, many subjects are gradually using computer as a tool for examination, that is, paperless examination. So as to save human and material...

This article defines and analysis the risks of intelligent transportation systems that are different from the traditional IT project development process, it combines the types of risks in the development process of traditional IT projects, and forms a two-tier risk index evaluation system suitable for...

Timely identification of tomato leaf diseases is vital for ensuring agricultural productivity and sustainability. This study presents an innovative ensemble deep learning framework that integrates EfficientNet and Vision Transformer (ViT) to achieve precise and scalable classification of tomato leaf...

Nested entity is the focus and difficulty of Chinese named entity recognition. The existing methods regard nested NER as two subtasks of Chinese word segmentation and sequence annotation. This method depends very much on the quality of input word vector, and low-quality word vector will lead to the error...

Blockchain technology makes the data information of logistics supply chain system transparent. Blockchain does not allow any data to be modified or even tampered with without permission but can be traced. The logistics supply chain financial service platform built under the blockchain technology digitizes...

Digital technologies such as artificial intelligence and big data are transforming traditional industries, including intelligent packaging design. As the manufacturing industry develops, consumer expectations for packaging are increasing, presenting challenges for technological innovation and integrated...

This paper presents BookMitra, an intelligent library management system integrated with a hybrid book recommendation framework designed for academic environments. The system combines contentbased filtering using Term Frequency–Inverse Document Frequency (TF–IDF) and cosine similarity with collaborative...

The power mechanism of continuous innovation is one of the main mechanisms constituting the continuous innovation mechanism of an enterprise, and it is also an important magic weapon for the enduring of the enterprise. It is the guarantee for innovative enterprises to acquire lasting core competitiveness...

With the development of computer technology and Internet technology, the current information exchange processing and analysis sharing has entered the era of big data. In the new era, the society puts forward higher requirements for students’ English learning. As the main standard to test the quality...