Atlantis Highlights in Intelligent Systems

The development experience and current situation of resistance array technology at home and abroad are briefly reviewed. Foreign resistance array technology started early and completed the development from small-scale to large-scale, from scanning to snapshot. At present, it is developing towards specialization...

This paper examines the impact of digital transformation on labor productivity as firms drive digital transformation through the adoption of digital information technologies such as artificial intelligence, cloud computing, and big data, as well as the intermediate mechanisms and heterogeneity of this...

Neurodegenerative diseases are a group of progressive disorders that affect the nervous system, characterized by a gradual deterioration in mental and physical functions. In the domain of neurodegenerative diseases, Alzheimer’s disease (AD) and Parkinson’s disease (PD) are some of the most prevalent...

PDAC is inherently lethal, which can be mostly explained by late detection and low sensitivity of visual inspection during contrast-enhanced CT. Minor changes in the textures, isoattenuation lesions, and large inter-observers’ variability still remain obstacles to consistent detection. AI-based methods...

Mechanical manufacturing technology courses need to master the basic characteristics of a large number of mechanical parts. However, the diversification of parts and the modernization of design are hard to satisfy the growing desire of students. This requires a new method to replace the traditional mold...

Digitization and intelligence are irreversible trends in the process of improving the efficiency of audit business. Data security, privacy protection, data traceability and data verifiability have become the necessary prerequisites for digitalization and intelligence of audit. The current digitalized...

Objective to explore the design path of community rehabilitation health management system which can improve the experience of community users and optimize the rationality of online health management and offline diagnosis. Using the survey method of user journey map and service blueprint, the current...

The main purpose of this paper is to study the location calibration of 3-PPR high precision robot platform. The conventional precision calibration method has certain limitations, This paper adopts adaptive grid method for machine vision calibration, When the precision requirements are met, the mesh is...

To start with the introduction of relevant computer graphic image processing technology, combined with the historical experience of animation in China and abroad, compares and investigates different animation production methods, analyses the influence of computer technology on animation production in...

Science misinformation on platforms like YouTube poses significant challenges to public understanding, necessitating reliable evaluation tools. This project presents TriVerBERT-LLM, a multimodal framework designed to assess the credibility of YouTube video transcripts through logical fallacy detection,...

With the continuous improvement of the whole social electricity demand in China, the power grid construction projects are gradually increasing. Under the background of the gradual market-oriented reform of the project cost, the power grid engineering urgently needs to improve the information level of...

Since China’s reform and opening up, the Pearl River region has developed into an urban functional network of advanced manufacturing zones in the West Bank, and has become an important equipment manufacturing production base in Guangdong. As one of the most important industrial bases in China, the northeast...

With the increasing prominence of urban traffic problems and the deepening of the concept of “green travel” into people's hearts, the bicycle sharing system came into being and developed rapidly, showing extraordinary charm. The emergence of bicycle sharing is changing people's lives in an...

Aiming at the shortcomings of the current paper shelf label, such as low efficiency of manual replacement, untimely information updating, and complicated management, this paper proposes an electronic shelf label system based on electrophoretic display technology, which is combined with Zigbee gateway...

In response to the complex process and the lack of response to capability requirements of operational concept design, this paper proposes a conceptual design method for weapon equipment system-of-systems based on capability requirements. The operational concept design is divided into two parts: “operational...

Sarcasm detection in product reviews requires balancing domain-specific symbolic pattern recognition with deep semantic understanding. Symbolic representations capture explicit linguistic phenomena that are often decisive for sarcasm detection. Existing work either favors interpretable symbolic representation...

In recent years, domestic R&D funding has maintained rapid growth, and scientific and technological innovation has achieved fruitful results. However, compared with the world’s technological powers, the technological foundation is still weak. Science and technology R&D activities are a typical...

With the fast pace development of the Internet nowadays, financial frauds have also emerged continuously, which has seriously affected the development of the financial sector. Due to the lack of data in the financial field and the loose structure of transaction information, financial fraud detection...

Gait analysis is the systematic study of locomotion, particularly focusing on human movement. It combines observations made by trained individuals with instrumentation that measures body movements, mechanics, and muscle activity. Gait analysis is employed to assess and treat individuals whose ability...

This paper deals with an optimal energy procurement strategy in a DC microgrid. The DC microgrid comprises renewable sources, storage systems, and demand response participators, who are players in the electricity market. The DC microgrid operator considers bids from all the market players and pursues...

The evaluation of quality culture in military enterprises is an important work in the quality culture construction of military industry, which is conducive to accurately understanding the weaknesses in the culture construction, horizontal comparison, inspection, and supervision, and can also be used...

With the advent of Internet and information era, enterprises are facing more and more opportunities and challenges. In the fierce market competition environment, how to use advanced science and technology to improve their core competitiveness is a question that every enterprise needs to think about....

In professional football, selecting players involves evaluating multiple criteria to ensure optimal team performance. This paper introduces a novel approach for optimizing player selection by combining the Random Forest algorithm for criterion weighting with the multi-criteria decision-making method...

This research examines the integration of visual communication and cognitive psychology principles to enhance AI-driven decision-making in engineering fields. This study investigates the integration of cognitive psychology and visual communication principles to enhance AI-driven decision-making in engineering....

China, Japan and South Korea are the most important economies in Asia. Trade liberalization among the three countries can bring regional economic synergy and rapid development. After the signing of the RCEP agreement in November 2020, China, Japan and South Korea entered a closer stage of trade cooperation,...

This study explores the relationship between green innovation and firm performance among Chinese listed companies, focusing on the moderating effects of organizational redundancy, dynamic capabilities, government subsidies, and environmental regulations[17][18][19]. Using data from A-share listed manufacturing...

The transformation of technological achievements is an important task for the national economy. It transforms technological achievements into actual productivity. In this paper, the entropy method is used to take the technological achievements of Dalian, Liaoning as the research object, and the local...

Multimodal artificial intelligence has emerged as an effective approach in medical diagnostics by integrating heterogeneous data sources such as clinical symptoms and medical images, thereby addressing the limitations of unimodal diagnostic systems [10], [15], [12]. The creation of the modular multimodal...

To find a better self-rescue way for sudden drowning swimmers through the redesign of drowning self-rescue products. Based on the self-rescue needs of drowning patients and the design and evaluation criteria of product ergonomics, the situation analysis method was used to record, evaluate and summarize...

In order to solve the problems of backward management level, lack of professional and technical personnel, high effluent quality requirements and equipment operation and maintenance management of traditional water supply production enterprises, it is necessary to study a set of operation and maintenance...

The foreleg mechanism plays an important role to carry out climbing stairs and crossing obstacles for wheelchair climbing-stairs. Multi-sensors are placed on different site of the foreleg mechanism, and their measurement values timely decide and control the foreleg position and posture change. The driver...

Cryptocurrency arbitrage offers profit opportunities through price discrepancies across exchanges, but identifying viable paths is challenging due to the volatility, fees, and complexity of multi-token ecosystems. This work proposes a scalable and interpretable GNN-based framework using GraphSAGE with...

In the era of information technology, the sharing economy has become the norm, and the generation of artificial intelligence is inseparable from the synthesis of blockchain technology. Correctly understanding and mastering blockchain technology has a strong practical guiding significance for industrial...

The Internet of Things (IoT) has brought significant advancements in health monitoring by creating smart environments where interconnected devices can collect and share health data in real-time. IoT systems can integrate various data sources, offering a comprehensive view of an individual’s health status....

In recent years, 3D printing technology has been developing rapidly, which not only helps the development of science and technology industry, but also promotes the progress of cultural and creative undertakings in China. Cultural and creative products are widely loved by people because of their unique...

Agricultural practice is the main business action of the preference of people. Crop production is a significant factor in agricultural practices, just as soil structure determines the suitability of crops. A major share of India’s GDP (Gross Domestic Product), directly or indirectly, comes from agricultural...

With regard to the current socio-economic situation, the traditional means of road traffic management can no longer adapt to the current speed of global information development. Intelligent traffic management, which responds to the practical needs of the history of intelligent traffic management, is...

High-speed rail is an important catalyst for urban development and has a huge impact on the realization of urban tourism benefits and economic development. Through the establishment of regression analysis equation and grey prediction model, combined with the comparison with and without, this paper empirically...

This paper designs a remote data monitoring system for intelligent low voltage circuit breaker. Data collector collects various state parameters such as current, voltage and opening or closing state of each phase from intelligent low voltage circuit breaker by RS485 bus and uploads to master station...

Forecasting stock prices in capital markets holds great significance for the economic development and social stability of a country, necessitating a robust predictive model. This study presents a comprehensive comparison between Long Short-Term Memory (LSTM) and Transformer neural network architectures...

This paper aims at the latest approach for solving the security-constrained unit commitment problem (UCP) dependent on Improved Benders Decomposition (IBD) to Adaptive Particle swarm optimization with differentially perturbed velocity (APSODV). The proposed IBD determines the optimal unit commitment...

With the intensification of global climate change, carbon neutrality has become a global priority. As a high-energy-consumption and high-carbon-emission sector, the logistics industry’s green and low-carbon transformation is critical to achieving carbon neutrality goals. Third-party distribution centers...

Through the design and research of the water special life jacket, to provide better rescue equipment for rescuers, to solve the problem of high casualty rate and low success rate of rescue operations. The AEIOU approach is used to assess the crucial components of water rescue, research the behavior of...

With the increasing scale of foundation pit engineering, construction constraints are becoming more and more complex, under this background, it is urgent to carry out automatic monitoring and safety control of foundation pit Taking Tagang Village foundation pit project in Zengcheng District of Guangzhou...

In order to meet the requirement of stability, real-time performance and miniaturization, a missile-borne computer with DSP and FPGA as its core processor is designed. FPGA communicates with DSP via EMIF for extension of various peripheral interfaces, including the serial port, AD converter and IO operation....

The worldwide mental health crisis and the lack of licensed providers are forcing the need for to identify innovative and efficacious possibilities for expanding access to mental health care that can be delivered in a streamlined manner. This review assesses the simultaneous potential and pitfalls associated...

Observational and vision-based gait analysis involves the systematic examination of an individual’s walking patterns through visual assessment and advanced imaging techniques. This chapter presents the science and technological methods that enable the detailed observation of movement dynamics, allowing...

Cyberbullying on social media comes with serious challenges that require advanced and interpretable detection mechanisms. We present TriBERT-X, a potent explainable model of transformers, uniting the strengths of ALBERT, RoBERTa, and DistilBERT through a unique concatenation-ensembling strategy. The...

Every year Saudi Arabia receives millions of Muslims which come from all over the world to perform religious rituals of Hajj (Pilgrimage) during Hajj seasons. Therefore, planning an efficient transportation system is important to facilitate pilgrims / bus movement between holly cities (Makka, Mina, Mozdalifah...

In 2020, the Covid-19 spreads around the world, this research focuses on the influences of Covid on the Chinese insurance market. By using theoretical and data analysis, this study finds that this pandemic has negative impact on the market in the short term. There is a sharp decrease in the total premium...

In order to improve the quality of life of county residents, we need to attach importance to the rational planning of public service facilities in county towns, which will promote the development of urban and rural planning and the construction of smart cities. This paper selects the public service...

Due to the particularity of distribution network, its engineering construction management is very important. According to the content and characteristics of distribution network project cost management, this paper first establishes the effectiveness evaluation index system of distribution network project...

Cloud computing can provide scalable computing power, storage space, and information services for a variety of applications. It has dynamic scalability, fault-tolerance and availability, which require a large number of nodes to provide support. Providing corresponding compensation mechanisms for the...

With the rapid development of machine learning and big data techniques, modelling and predictive analysis have been applied broadly in the financial area. From stock market prediction [11] to decision making support for financial institutions [9], researchers have shown that machine learning and big...

China has proposed dual carbon targets to promote green transformation. This article uses a difference in differences (DID) model to evaluate the impact of carbon emission pledge loan policies on financing constraints in the power industry. Research has found that this policy significantly reduces the...

Objective To improve the efficiency and cleaning power of current cleaning machine, enhance the sense of user experience, and commit to the continuous progress and development of society. Methods Based on the Kano model, the paper discusses the user needs of the tableware cleaning machine, sorts the...

The use of artificial intelligence technology can bring economic benefits to intelligent manufacturing enterprises. However, it can also lead to changes in the human capital structure of these enterprises due to the substitution and complementary collaboration of artificial intelligence with human work....

Wind energy, which has a high potential in renewable energy sources, has a capacity to meet the rapidly growing energy need. In a wide variety of fields and different types of turbines, the wind energy we use can easily be used in low-voltage devices such as simple household appliances. Within the context...

Export resilience is an important foundation for firms’ trade growth and sustainable development, and a strong support for maintaining the global competitiveness of manufacturing industries. This paper explores the intrinsic relationship among digital inclusive finance (DIF), level of financing constraints,...

This work presents an approach of finding the optimal location and size of battery energy storage system (BESS) in a distribution network with distributed generation (DG) in order to reduce distribution system losses and control of voltage rise due to DG fluctuation. The optimal site and size of the...

The eighth most frequent disease in the globe in India is oral cancer (OC), which kills 130,000 people every year. Oral cancerous tumors can arise in a variety of locations, such as the tonsils, salivary glands, neck, face, and mouth. Histological pictures are useful for cancer screening because they...

Leveraging the advanced capabilities of AI, real-time detection of gait anomalies through LiDAR technology is revolutionizing healthcare monitoring. This innovative approach enables precise and immediate assessment of patients’ walking patterns, highlighting deviations that may indicate underlying health...

Based on six waves of pooled cross-sectional survey data from the second (1990) wave to the seventh (2018) wave of the World Values Survey (WVS) database, this paper uses the statistical software Stata to conduct an ordinal logit analysis on the collated data with reference to the Life Satisfaction Approach....

Many elderly people require constant monitoring of their vital signs. Every day, going to hospitals for checkups or being admitted for monitoring of vital signs is tiring; therefore, there is a high demand for smart health monitoring systems. To support elderly healthcare, this paper introduces the SmartLife...

China’s 14th Five-Year Plan calls for the development of China’s strategic emerging industries to promote high-quality development of the country’s digital economy and artificial intelligence. At present, China’s strategic emerging industry compared with Europe and the United States and other developed...

Recently, indoor positioning has been actively researched, and methods using Wi-Fi have been widely studied. However, indoor positioning using Wi-Fi has a lot of problems. Therefore UWB is an alternative method. UWB is suitable for indoor positioning because of its high multipath resolution and good...

For deaf and hard-of-hearing people, communication barriers remain a major obstacle, particularly in assistive and emergency communication situations. The majority of methods have mainly concentrated on gesture recognition and do not adequately address robustness under real-world variations like motion...

When a call for help occurs, people are more likely to donate to members of the in-group. Taking college students as a special group, an experimental scheme including donation situation scale, altruistic personality scale, warm glow scale, empathy scale and donation willingness scale was designed, and...

As an important region of China’s foreign trade, Sino-US trade frictions will have a certain impact on the development of foreign trade in the Yangtze River Delta region. In order to test the impact of Sino-US trade friction on the import and export trade of the Yangtze River Delta region, a mathematical...

Ink painting belongs to the foundation of Chinese traditional art works, and in the development history of thousands of years, oriental techniques based on ink painting techniques have gradually formed. Ink painting relies on its own boldness and softness, refinement and sprinkling to draw objects and...

This study investigates the energy-saving potential of fixed shading systems in educational buildings located in hot summer and cold winter zones through multi-scenario energy consumption simulations. The key findings reveal the adaptability of shading types, with Combined Horizontal and Vertical Shading...

At present, various colleges and universities have extensively carried out practical training courses for industrial robots. If students are trained entirely in actual equipment, they will be limited by the number of venues, equipment, complex structure, operation frequency and use safety. This requires...

The teacher evaluation system is a comprehensive information system for teachers and students of the whole school based on the management practice of higher education, using advanced design ideas and technologies. The system effectively overcomes practical problems such as high pressure of evaluation...

Digital governance aims to enhance the efficiency, transparency, and inclusiveness of public administration through technology. However, current systems often face limitations such as centralized authority, limited civic participation, opaque decision-making, and the absence of intelligent validation...

The combined use of the Internet of Things (IoT) with Machine Learning (ML) has grown considerably Remote Patient Monitoring (RPM) because of regular clinical data generation, accelerated measurement, and predictive healthcare decision support. Even so, the extensive use of IoT and ML based RPM systems...

With the progress of human society during the 21st century, the continuous innovation and development of networking, digitization, intelligence, information and automation have promoted the emergence of smart cities. At present, China is in an essential period of new urbanization and the rapid development...

Diffusion-Weighted Magnetic Resonance Imaging (DW-MRI) is an effective method for early ischemic stroke detection, often identifying strokes within the first few minutes of onset. Additionally, it enables the quantification of lesion volume, which is a critical factor in determining whether to proceed...

In this paper, we present a review and analysis of different methods and resources for texture classification, presenting the most popular techniques that have been used in the past decade. The paper covers some of the most traditional approaches involving texture descriptors like Gray Level Co-occurrence...

It is difficult for traditional methods to enter the fields of biology, psychology, medicine and social sciences because there are too many factors and complicated rules in these disciplines. Complexity and accuracy often exclude each other, but complexity is compatible with inaccuracy, namely fuzziness....

It is difficult for autonomous mobile robots to rely on a single positioning method to obtain accurate pose information in complex indoor environments, so the real-time pose of the robot is generally obtained through multi-source fusion positioning during navigation. However, in the fusion localization...

This chapter presents the AI-Driven Real-Time detection of Gait anomalies utilizing LiDAR Technology for Advanced Healthcare Monitoring. This innovative approach leverages cutting-edge artificial intelligence and sophisticated Light Detection and Ranging technology to track and analyze individuals’ gait...

In the context of the “dual carbon” goals, the green development of the logistics industry has become a key research focus. As a critical component of sustainable development, green logistics plays a vital role in alleviating the pressure of energy conservation and emission reduction. To facilitate the...

The dual ability of enterprises is the core competitiveness of enterprises. Faced with the weak innovation ability of enterprises, many enterprises have carried out overseas technology mergers and acquisitions to improve their technical ability. Based on CiteSpace visualization software, this paper makes...

A feature recognition technique is the intelligent interface of CAD/CAPP. Through extracting and recognizing the tolerance and surface roughness, the design features such asholes, steps and other design features in a 3D model of parts, the CAD/CAPP can be combined efficiently, and then the CAD/CAPP/CAM...

The transfer and transportation of patients have always been important issues in home care and hospital care. With the acceleration of the world’s aging population, the number of disabled and semi disabled elderly people is constantly expanding, and this problem is becoming increasingly prominent. In...

Building Information Model (BIM) provides a detailed description of various information throughout the lifecycle of a micro building, but it lacks the expression of macro geographical scene and has insufficient spatial analysis capability, while 3D Geographic Information Systems (GIS) focuses on describing...

The paper proposes a web-based implementation for a bone age classification system that assists clinicians in interpreting skeletal maturation in children using pediatric hand X-ray images. The system is implemented using the Django framework and incorporates a convolutional neural network (CNN) architecture...

Students often struggle to prioritize concepts during exam preparation due to the lack of structured insights from Previous Years’ Question Papers (PYQs), which remain one of the most valuable yet underutilized academic resources. We have proposed Machine Learning (ML)- powered smart PYQ analyser system...

The results of theoretical and practical analysis abroad show that internal control is very important to the development of enterprises. In order to promote China’s economic development, this paper investigates the actual situation of China’s listed companies to understand the impact of internal control...

For enterprises, financial management is the top priority of management work, and the effective promotion and application of the financial management model of the financial sharing center integrating cloud computing and other technological elements can undoubtedly become the key to helping enterprises...

Desktop based virtual maintenance training system for military aircraft system was studied to make the developing easier. First, the virtual maintenance scene was simplified and rendered in real time. Second, the mechanical assemble relationship and sequence was modeled by petri network. Third, different...

This paper presents a novel approach for optimizing the hyperparameters of Artificial Neural Networks (ANNs) using metaheuristic algorithms to solve the inverse kinematics problem for a 3-DoF rehabilitation exoskeleton robot. The exoskeleton aims to assist in rehabilitation by enabling accurate control...

Cardiac evaluation at initial stages depends on precise handling of biological data. A method involving separate models appears here, examining PCG and ECG signals through distinct computational paths. Instead of merging information early, processing stays independent, allowing use even if only one signal...

Under the background of the current “Internet+” era, the traditional enterprise performance management model has problems such as insufficient overall planning, poor departmental coordination, and single service function, which can no longer meet the needs of enterprise development in the new era. With...

With the advent of the Internet era, the scale and application areas of the Internet are constantly developing, and the Internet has gradually been widely used in people’s daily life, economy, military, science and technology, education and other related fields, and its basic and global position and...

As the driving force of vocational education development and reform, industry-education integration enterprises have entered the critical period of construction, and put forward the construction demands of symmetrical organizational structure, transparent data status, information resource sharing, and...

Collaborative filtering recommender systems traditionally recommend products to users solely based on the user-item rating matrix and are simple, convenient to use. In this paper, we focus on two main issues, data sparsity and scalability. Data sparsity can lead to inaccurate recommendations, while scalability...

Traffic accidents are the main cause of deaths, disabilities, and hospital visits in the whole country without stopping. This research is a deep study aiming to choose the best predictive models that can predict traffic accidents. Therefore, cars, whose drivers are essential in managing road safety,...

Under the background of the gradual integration and development of the sports and pension industry, this paper constructs the evaluation index system of coupling and coordinated development of the sports and pension industry from four dimensions. Based on the “improved entropy weight catastrophe progression...

Addressing the issue of overwhelming information on cloud-based manufacturing service platforms due to an excessive volume of service-related data, a manufacturing service recommendation method based on Product-based Neural Network (PNN) is proposed, which successfully solved the shortcomings of traditional...