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Collaborative Intelligence: A Scoping Review Of Current Applications Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-03-17 Emma Schleiger, Claire Mason, Claire Naughtin, Andrew Reeson, Cecile Paris
This review provides a novel examination of the emerging field of collaborative intelligence and demonstrates the value that human-AI teams can deliver. Humans and artificial intelligence (AI) syst...
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Designing a Block Chain Based Network for the Secure Exchange of Medical Data in Healthcare Systems Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-03-11 Katru Rama Rao, Satuluri Naganjaneyulu
An identity-based cryptosystem called signcryption is investigated in this study in order to efficiently and securely exchange healthcare information inside a data-sharing network, utilizing the id...
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Sentiment Analysis of Short Texts Using SVMs and VSMs-Based Multiclass Semantic Classification Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-03-14 K. Suresh Kumar, A.S. Radha Mani, T. Ananth Kumar, Ahmad Jalili, Mehdi Gheisari, Yasir Malik, Hsing-Chung Chen, Ata Jahangir Moshayedi
In our approach, a hybrid machine learning model is proposed which uses Enhanced Vector Space Model (EVSM) along with Hybrid Support Vector Machine (HSVM) classifier. Initially the social media-bas...
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Analyzing Topological Indices and Heat of Formation for Copper(II) Fluoride Network via Curve Fitting Models Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-03-14 Rongbing Huang, Muhammad Farhan Hanif, Muhammad Faisal Hanif, Muhammad Kamran Siddiqui, Tayyaba Noor, Douhadji Abalo
One of the most important fields in current materials research is the examination of materials through the prism of topological indices. An extensive statistical investigation of topological indice...
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Autonomous Behavior Selection For Self-driving Cars Using Probabilistic Logic Factored Markov Decision Processes Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-03-11 Héctor Avilés, Marco Negrete, Alberto Reyes, Rubén Machucho, Karelly Rivera, Gloria de-la-Garza, Alberto Petrilli
We propose probabilistic logic factored Markov decision processes (PL-fMDPs) as a behavior selection scheme for self-driving cars. Probabilistic logic combines logic programming with probability th...
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Binding Mechanism of Aviation Wire Harness Based on Improved Particle Swarm Optimization Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-03-12 Zhang Maoyun, Xi Huizhuang, Tang Chen, Jiang Yuheng, Zhang Ziyan, Tian Chunlin
To solve the problems of low efficiency and easy error of manual bundling, a binding mechanism of aviation wire harness was designed. During the test, we found that the parameter tuning problem of ...
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Intelligent Extraction of Multi-style and Multi-template Title Block Information Based on Fuzzy Matching Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-03-11 Gui Li, Qinluan Peng, Ming Luo
Title blocks are crucial primary data on drawings necessary for the operation of modern manufacturing enterprises. However, their uniform export poses a challenge due to the heterogeneity across mu...
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Behavior Analysis of the New PSO-CGSA Algorithm in Solving the Combined Economic Emission Dispatch Using Non-parametric Tests Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-03-06 Milena Gajić, Sanela Arsić, Jordan Radosavljević, Miroljub Jevtić, Bojan Perović, Dardan Klimenta, Miloš Milovanović
This paper proposes a new metahaeuristic algorithm named particle swarm optimization and chaotic gravitational search algorithm (PSO-CGSA) for solving the combined economic and emission dispatch (C...
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Control Charts for Exponentially Distributed Characteristics: SD, ED, ESD with Taguchi’s Loss Function Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-03-06 Masoud Tavakoli, Ali Akbar Heydari, Sahera Hussein Zain AL–Thalabi
This paper addresses the challenge of quality characteristics that follow an exponential distribution, which can significantly impact decision-making in various fields. Existing approaches rely on ...
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Privacy-Preserving Process Mining: A Blockchain-Based Privacy-Aware Reversible Shared Image Approach Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-03-05 Xianwen Fang, Mengyao Li
Deeper integration of cross-organizational business process sharing and process mining has advanced the Industrial Internet. Privacy breaches and data security risks limit its use. Scrambling or an...
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Application Of Density-Based Clustering Approaches For Stock Market Analysis Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-03-04 Tanuja Das, Anindya Halder, Goutam Saha
Present economy is largely dependent on the precise forecasting of the business avenues using the stock market data. As the stock market data falls under the category of big data, the task of handl...
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STSG: A Short Text Semantic Graph Model for Similarity Computing Based on Dependency Parsing and Pre-trained Language Models Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-03-04 Hai Liao, Yan Liang, Song Chen, Lingyun Xiang, Zhimin Chang, Yun Xiao
Short text semantic similarity is a crucial research area in nature language processing, which is used to predict the similarity between two sentences. Due to the sparsity features of short texts, ...
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Unsupervised Machine Learning Approaches for Test Suite Reduction Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-03-04 Anila Sebastian, Hira Naseem, Cagatay Catal
Ensuring quality and reliability mandates thorough software testing at every stage of the development cycle. As software systems grow in size, complexity, and functionality, the parallel expansion ...
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Spatial-temporal Offshore Current Field Forecasting Using Residual-learning Based Purely CNN Methodology with Attention Mechanism Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-03-04 Zeguo Zhang, Jianchuan Yin
Spatial-temporal current forecasting is indispensable for ocean engineering and marine science exploration, for instance aiding in the conservation and protection of marine ecosystems, planning shi...
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3D Gaussian Geometric Moment Invariants Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-02-26 Tao Sun
3D moment invariants are important tools for 3D image feature representation. In this paper, we introduced a novel approach for constructing 3D moment invariants using Gaussian geometric moments. O...
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The SAGE Framework for Explaining Context in Explainable Artificial Intelligence Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-02-22 Eleanor Mill, Wolfgang Garn, Nick Ryman-Tubb, Chris Turner
Scholars often recommend incorporating context into the design of an explainable artificial intelligence (XAI) model in order to ensure successful real-world adoption. However, contemporary literat...
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DWS-YOLO: A Lightweight Detector for Blood Cell Detection Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-02-22 Yihai Mao, Hongyi Zhang, Wanqing Wu, Xingen Gao, Zhibin Lin, Juqiang Lin
Peripheral blood cell detection is an essential component of medical practice and is used to diagnose and treat diseases, as well as to monitor the progress of therapies. Our objective is to constr...
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Development Of A Vision- based Anti-drone Identification Friend Or Foe Model To Recognize Birds And Drones Using Deep Learning Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-02-17 Yasmine Ghazlane, Maha Gmira, Hicham Medromi
Recently, the growing use of drones has paved the way for limitless applications in all the domains. However, their malicious exploitations have affected the airspace safety, making them double-edg...
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Assessment of Wind Shear Severity in Airport Runway Vicinity using Interpretable TabNet approach and Doppler LiDAR Data Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-01-10 Afaq Khattak, Jianping Zhang, Pak-Wai Chan, Feng Chen
Severe wind shear events near airport runways pose serious safety risks and are a growing concern in civil aviation. Identification of severe wind shear risk factors may enhance aviation safety. Al...
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Multi-Criteria Decision Making Model For Hotel Selection Problem Under Complex Dual Hesitant Fuzzy Information Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-01-04 Rasool Niaz Khan, Muhammad Sajjad Ali Khan, Wali Khan Mashwani, Muhammad Ibrar, Tapan Senapati, Sarbast Moslem
The notion of the “complex dual hesitant fuzzy set (CDHFS)” is the combination of the “dual hesitant fuzzy set (DHFS)” and the “complex fuzzy set (CFS).” It is characterized by two degrees, namely ...
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Managing Emotion In The Workplace: An Empirical Study With Enterprise Instant Messaging Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-01-03 Shih-Wen Ke, Chih-Fong Tsai, Yi-Jun Chen
Enterprise Instant Messaging (EIM) has become an increasingly important tool for enterprises to operate efficiently and for the employees to communicate smoothly, especially with the recent outbrea...
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Improved Word Segmentation System for Chinese Criminal Judgment Documents Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-12-21 Chi Zhang
In this paper, a system for automatic word segmentation of Chinese criminal judgment documents is proposed. The system uses a hybrid model composed of fine-tuned BERT (Bidirectional Encoder Represe...
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Engineering Responsible And Explainable Models In Human-Agent Collectives Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-12-05 Dhaminda B. Abeywickrama, Sarvapali D. Ramchurn
In human-agent collectives, humans and agents need to work collaboratively and agree on collective decisions. However, ensuring that agents responsibly make decisions is a complex task, especially ...
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Artificial intelligence in higher education: a bibliometric analysis and topic modeling approach Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-10-18 Vusumuzi Maphosa, Mfowabo Maphosa
Artificial intelligence (AI) has brought unprecedented growth and productivity in every socioeconomic sector. AI adoption in education is transformational through reduced teacher workload, individu...
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Research on Path Optimization Method for Warehouse Inspection Robot Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-09-14 Jianxian Liu, Hongyuan Liu
ABSTRACT With the increasing popularity of intelligence, many enterprises’ warehouse inspection work is completed through robots. However, due to the multiple target points of warehouse inspection, the low efficiency of planning intelligent robot inspection paths is a problem that needs to be solved. In order to solve the above problems, this paper proposes an HPSO-ACO algorithm based on hybrid particle
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Research on Automatic Path Planning Method of Warehouse Inspection Robot Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-08-30 Hongyuan Liu, Jianxian Liu
ABSTRACT The patrol robot is an important guarantee for the safety of the enterprise’s warehouse. However, due to the large number of patrol target points, the automatic path planning of the patrol robot is difficult and inefficient. In order to solve this problem, the hybrid particle swarm optimization (HPSO) algorithm is combined with A-star algorithm, and a path optimization method for inspection
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Artificial Intuition for Automated Decision-Making Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-07-24 Marcello Trovati, Khalid Teli, Nikolaos Polatidis, Ufuk Alpsahin Cullen, Simon Bolton
ABSTRACT Automated decision-making techniques play a crucial role in data science, AI, and general machine learning. However, such techniques need to balance accuracy with computational complexity, as their solution requirements are likely to need exhaustive analysis of the potentially numerous events combinations, which constitute the corresponding scenarios. Intuition is an essential tool in the
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A Method to Plan the Path of a Robot Utilizing Deep Reinforcement Learning and Multi-Sensory Information Fusion Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-06-24 Jieren Tan
ABSTRACT Nowadays, mobile robots are being widely employed in various settings, including factories, homes, and everyday tasks. Achieving successful implementation of autonomous robot movement largely depends on effective route planning. Therefore, it is not surprising that there is a growing trend in studying and improving the intelligence of this technology. Deep reinforcement learning has shown
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Dance Video Motion Recognition Based on Computer Vision and Image Processing Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-06-21 Yawen Pang, Yi Niu
ABSTRACT In recent years, motion recognition has become a hot research topic in the field of computer vision and has great research worth. Scholars and research institutions at home and abroad have made a lot of research and achieved good results. However, the research results of applying motion recognition technology to dance video are relatively few, mainly because the complexity of human motion
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Improved EfficientDet Algorithm for Basketball Players’ Upper Limb Movement Trajectory Recognition Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-06-20 Hui Liang
ABSTRACT Whether a basketball player’s movements are standard or not is a key indicator to evaluate a basketball player and a key point for basketball player training. In order to improve the training effect of basketball players, effective and fast accurate recognition of basketball players’ action trajectories is crucial. In order to solve the problems of inadequate extraction of limb action features
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Artificial Intelligence-Driven Interactive Learning Methods for Enhancing Art and Design Education in Higher Institutions Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-06-19 Xiaoxia Fan, Jiayin Li
ABSTRACT To address the problem of the classroom practice teaching of art and design, this paper proposes an interactive learning method in universities, followed by the use of AI technology to evaluate the quality of art and design teaching. The study aims to achieve the following objectives: 1) To introduce the current research status of art and design and interactive teaching methods used in other
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Development of Large-Scale Farming Based on Explainable Machine Learning for a Sustainable Rural Economy: The Case of Cyber Risk Analysis to Prevent Costly Data Breaches Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-06-15 Yuelin Kang
ABSTRACT Risk management is essential to every organization’s management plan. It is the strategy by which organizations handle the risks involved with their actions to profit or avoid making decisions that will cost them financially in each activity. Identifying and mitigating potential digital threats and developing and implementing procedures to significantly reduce the likelihood of an organization
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Management Method Evaluation for Innovation and Entrepreneurship in College with Multi-Scale Feature Convolutional Network Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-06-15 Jin Wang
ABSTRACT Since the full implementation of the innovation-driven development strategy in the country, all regions and departments have placed great emphasis on the work of mass entrepreneurship and innovation, resulting in a significant increase in innovation and entrepreneurship. The national focus on mass entrepreneurship and innovation has shifted from quantitative to qualitative improvements, with
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Zero-Knowledge Proof Intelligent Recommendation System to Protect Students’ Data Privacy in the Digital Age Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-06-13 Wenjing Yin
ABSTRACT The rapid digital revolution in recent decades has resulted in an overwhelming amount of information, particularly in the realm of modern education systems and related materials. This phenomenon, often referred to as information overload, necessitates the development of educational systems that can effectively search, classify, and categorize this vast amount of available information. Of utmost
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Advancing Bridge Construction Monitoring: AI-Based Building Information Modeling for Intelligent Structural Damage Recognition Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-06-13 Honglei Yang, Min Xia
ABSTRACT Building Information Modeling (BIM) has emerged as a transformative technology in the construction industry, revolutionizing various aspects of the field. The integration of Artificial Intelligence (AI) techniques with BIM holds significant promise and is gaining momentum in interdisciplinary applications. In China, the construction industry has witnessed notable advancements through the convergence
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Green Progress of Cross-border E-Commerce Industry Utilizing Random Forest Algorithm and Panel Tobit Model Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-06-09 Ye Feng
ABSTRACT As both economies and trade broadly globalize, cross-border e-commerce (CBEC) as a branch of international trade has shown great potential for development. The construction of a CBEC realizes the integration and utilization of resources between the CBEC trading platform as the core element and other components of the system, cross-border logistics, payment enterprises, suppliers, and demanders
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Distributed Intelligent Model for Privacy and Secrecy in Preschool Education Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-06-08 Guoqiang He
ABSTRACT Mobile devices, including phones, tablets, and smartwatches, have revolutionized the way we compute and have seamlessly integrated into education systems. These versatile devices store vast amounts of valuable personal data due to their rich user interactions and advanced sensor capabilities. By harnessing the potential of this data through model training, we can greatly enhance the functionality
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Secure Preschool Education Using Machine Learning and Metaverse Technologies Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-06-08 Qifen Zhang
ABSTRACT The metaverse concept represents a revolutionary advancement in technology that merges various aspects of our physical world into a cohesive and interconnected digital realm. Through the utilization of advanced mixed reality technologies, individuals are granted the ability to immerse themselves completely in a three-dimensional internet experience, thereby unlocking a myriad of unprecedented
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Optimizing Electromagnetic Cigarette Heaters Using PSO-NSGA II Algorithm: An Effective Strategy to Improve Temperature Control and Production Rate Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-06-07 Jifan Xu, Yan Chen, Henbing Yan, Xuesong Yang
ABSTRACT The global tobacco industry has made significant strides in reducing the harmful emissions of tobacco by focusing on the development of non-burning cigarette products. Among these innovations, electrically heated noncombustible cigarette smoking sets have garnered attention. However, one of the challenges faced by these products is the reliance on empirical values for temperature control,
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Research on Financial Field Integrating Artificial Intelligence: Application Basis, Case Analysis, and SVR Model-Based Overnight Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-06-07 Xinzhu Yan
ABSTRACT The integration of Artificial Intelligence (AI) into the financial industry has witnessed significant growth, transitioning from an academic concept to widespread adoption in the industrial sector. This trend has given rise to various AI technologies, presenting both novel opportunities and potential risks within the financial landscape. In light of this development, the present research article
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Improving Efficiency and Accuracy in English Translation Learning: Investigating a Semantic Analysis Correction Algorithm Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-06-05 Lingmei Cao, Junru Fu
ABSTRACT Translation serves as a vital link in connecting individuals from diverse cultural backgrounds, assuming greater significance in the context of globalization. With the continued growth of international communication, the importance of effective translation in fostering mutual understanding, exploring new horizons, and building relationships cannot be overstated. However, the persistent language
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Optimized Control Method for Fused Deposition 3D Printing Slice Contour Path Based on Improved Hopfield Neural Network Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-06-05 Yuwei Dong, Bo Hu
ABSTRACT This paper presents a novel approach for optimizing the contour path of fused deposition 3D printing slices to mitigate the limitations of inefficiency and time consumption associated with the process. The proposed algorithm leverages the Hopfield Neural Network (HNN) and an improved whale optimization algorithm to plan the printing order of each contour and optimize the network parameters
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Analysis of Mixed English Teaching Model based on Rasch Model and Construction of DE-FAHP-based Comprehensive Weight Quantization Model Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-06-05 Na Peng
ABSTRACT The development of information-based management education necessitates English teachers to utilize a combination of online and offline educational resources. This article focuses on the implementation of a mixed English teaching mode based on the rush entity model, which emphasizes online teaching resources and aids in the dissemination and internalization of professional knowledge. The study
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Mechanical design, manufacture and automation: Research progress and fusion ant colony algorithm-based optimization Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-06-04 Guoxian Qiu, Weifu Huang
ABSTRACT Mechanical automation plays a pivotal role in modern engineering and manufacturing, offering a wide array of benefits. By applying algorithms to automate mechanical systems, industries can capitalize on advantages such as error reduction, increased efficiency, and enhanced production quality. Among the various algorithms used in mechanical automation, the fusion ant colony algorithm stands
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Abnormal driving behavior detection based on an improved ant colony algorithm Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-06-04 Xiaodi Huang, Po Yun, Shuhui Wu, Zhongfeng Hu
ABSTRACT As one of the most serious hazards in the world, more than 80% of traffic accidents are caused by driver misconduct. The detection of abnormal behavior of drivers is important to improve safety in public transportation. The anomaly measurement is not only determined by objective rules such as laws, but also distinguished due to the biological characteristics. The same driving behavior may
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Wireless Network Design Optimization for Computer Teaching with Deep Reinforcement Learning Application Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-06-04 Yumei Luo, Deyu Zhang
ABSTRACT Computer technology has had a significant impact on the field of education, and its use in classrooms has facilitated the spread of knowledge and has helped students become well-rounded citizens. However, as the number of users accessing wireless networks for computer-based learning continues to grow, the scarcity of spectrum resources has become more apparent, which makes it crucial to find
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Privacy-Preserving with Zero Trust Computational Intelligent Hybrid Technique to English Education Model Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-06-04 Yitian Zhang
ABSTRACT The urgent and indispensable requirement for secure and efficient remote work compels organizations to reconsider their approach to safeguarding themselves against cyber threats. The shift toward remote work amplifies the need to redirect more network traffic toward cloud-based applications rather than relying solely on the internal network. The growing adoption of the hybrid work model necessitates
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Analysis of Benefits and Security of China’s Foreign Investment with Artificial Intelligence under the Belt and Road Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-06-04 Yuyang Zhang
ABSTRACT At a new historical crossroads, China’s Belt and Road Initiative (BRI) is a major measure to coordinate sustained economic growth at home, maintain a peaceful and stable environment in the surrounding region, and foster regional economic and commercial cooperation in the region. The BRI, a major initiative, can not only drive national economic growth but also has far-reaching significance
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The Innovation of Ideological and Political Education Integrating Artificial Intelligence Big Data with the Support of Wireless Network Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-06-04 Gang Du, Yufeng Sun, Yue Zhao
ABSTRACT Artificial intelligence (AI) and big data profoundly impact people’s way of life and way of thinking, and college ideological and political education (IPE) has gradually entered the era of online education. On account of this, this study designs an online education algorithm based on AI technology to help teachers better understand the situation of students’ online IPE teaching and improve
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Data Analysis of the Development Status of Basketball National Fitness Based on Fog Computing Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-06-04 Zhaoyong Liu, Jingfang Zhao
ABSTRACT As part of the national strategy to enhance fitness, mass sports development is continuously being promoted and facilitated. As the living standards of Chinese residents continue to improve, the demand for health for people of all ages is increasing. Basketball, a widely played and popular sport, has flourished in recent years and has gained the love of people from different age groups. As
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Analysis of the application of college popular music education relying on the elite teaching optimization algorithm Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-06-04 Na Li, Yeqin Peng, Jinyu Fan
ABSTRACT This paper presents a novel approach to enhancing college popular music education by incorporating an elite teaching optimization algorithm into a customized model. A key feature of the proposed model is the utilization of a high-fidelity wideband audio coding algorithm, which employs a time-frequency analysis module based on the MDCT fast algorithm to reduce storage requirements. The psychoacoustic
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An Intelligent Whole-Process Medical System Based on Cloud Platform Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-06-04 HongYu Wang, ShengNan Tao
ABSTRACT In response to the shortage of high-quality medical resources, long waiting times, and difficulties finding the right doctor, a smart medical system design scheme is proposed. This system is built on a cloud platform to increase capacity and improve operating speed. It offers intelligent triage, disease diagnosis, intelligent question-and-answer, online doctor diagnosis, online registration
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The Deep Learning ResNet101 and Ensemble XGBoost Algorithm with Hyperparameters Optimization Accurately Predict the Lung Cancer Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-06-03 Saghir Ahmed, Basit Raza, Lal Hussain, Amjad Aldweesh, Abdulfattah Omar, Mohammad Shahbaz Khan, Elsayed Tag Eldin, Muhammad Amin Nadim
ABSTRACT Lung cancer is the most common and second leading cause of cancer with lowest survival rate due to lack of efficient diagnostic tools. Currently, researchers are devising artificial intelligence based tools to improve the diagnostic capabilities. The machine learning (ML) requires hand-crafted features to train the algorithms. To extract most relevant features is still a challenging task in
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A Study on the Countermeasures to Improve the Physical and Mental Health of High-Altitude Migrant College Students by Integrating Artificial Intelligence and Martial Arts Morning Practice Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-05-31 Huiling Wang, Jingyuan Yang
ABSTRACT This paper comprehensively elaborates the differences in normal body and mind levels of high-altitude migrant college students between low-altitude and high-altitude regions, as well as the changes in normal body and mind levels of high-altitude migrant college students during their migration to high-altitude regions and the adaptation mechanism, so as to reveal the influence of altitude on
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School Wireless Network Classroom Teaching System Based on Artificial Intelligence Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-05-30 Jue Zhang
ABSTRACT With the continuous evolution and advancements in artificial intelligence (AI), network technologies have witnessed substantial improvements. Against the backdrop of the Corona Virus Disease 2019 pandemic, wireless classrooms have emerged as a significant modality for education. This study delves into the integration mechanisms and methodologies of AI-based wireless classrooms across diverse
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Innovative Development Measures of the Chinese Medicine Industry in Industrial Big Data with the Aid of AI in the Context of an Imperfectly Competitive Market Economy Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-05-27 Li Wang
ABSTRACT The use of traditional Chinese medicine for healthcare has been on the rise in recent years, leading to the rapid development of the industry in China. However, the industry still faces several challenges, including the supply of raw materials, changing market demands, and competition from foreign competitors, especially during the current era of rampant epidemics. To address these challenges
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Speed Control Method for the Working Shaft of the Complex Hydraulic Drive System Based on IFE-WOA Improved Fuzzy PID Controller Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-05-25 Feng He, Yuwei Dong, Bo Hu
ABSTRACT The precise control of a complex hydraulic drive system, which is mostly dependent on the speed control of the system working shaft, contributes to an improvement in product quality. In this paper, a novel working shaft speed control method for complex hydraulic drive system is proposed. First, a mathematical model of the operation of the working shaft and related components is established
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Optimization of the College Basketball Teaching Mode Based on the Applied Explainable Association Rule Algorithm and Cluster Analysis in Mobile Computing Environments Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-05-24 Xiaolei Li
ABSTRACT Under the mobile computing environment, a large number of convenient mobile terminals and extensive mobile network application services have been produced. The technology has been used in college sports teaching to optimize the management of sports teaching. In this context, this paper studies the application of the association rule algorithm and cluster analysis in basketball teaching, which
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Design and Application of Intelligent Classroom for English Language and Literature Based on Artificial Intelligence Technology Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-05-24 Xi Zhang, Jing Sun, Yiting Deng
ABSTRACT The phenomenon of economic globalization has led to a greater intermingling of economy and culture, which has brought about new demands for innovative talent cultivation in universities. To meet these demands, universities need to cultivate more students with high language ability who are capable of communicating and exchanging ideas between different cultures. This requires universities to
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An Analysis of the Evaluation of the Translation Quality of Neural Machine Translation Application Systems Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-05-23 Shanshan Liu, Wenxiao Zhu
ABSTRACT Neural machine translation (NMT) is applied to generate a more reliable and accurate translation practice as the most cutting-edge technology. In recent years, NMT has achieved gratifying results. However, the main obstacle for market-oriented NMT application systems appears to suffer from weak translation quality that fails to meet users’ needs. This paper focuses on the machine translation