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Journal articles on the topic 'Artificial intelligent methods'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Islomjon, Makhamadjonov. "Integration of artificial intelligence and teaching methods in pedagogy." International Journal of Pedagogics 5, no. 1 (2025): 57–59. https://doi.org/10.37547/ijp/volume05issue01-16.

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This articles explore the transformational construction of artificial intelligence in revolutionizing the learning process within the pedagogical sciences. It explores how artificial intelligence products and techniques can help students learn independently, learn independently, and think critically. Help discuss the integration of artificial intelligence into artificial intelligence, personalized learning experiences, intelligent tutoring systems, and automated manufacturing.

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2

Nowaková, Jana, and Miroslav Pokorný. "Intelligent Controller Design by the Artificial Intelligence Methods." Sensors 20, no. 16 (2020): 4454. http://dx.doi.org/10.3390/s20164454.

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With the rapid growth of sensor networks and the enormous, fast-growing volumes of data collected from these sensors, there is a question relating to the way it will be used, and not only collected and analyzed. The data from these sensors are traditionally used for controlling and influencing the states and processes. Standard controllers are available and successfully implemented. However, with the data-driven era we are facing nowadays, there is an opportunity to use controllers, which can include much information, elusive for common controllers. Our goal is to propose a design of an intell

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Qiu, Ziming, and Chuanli Yang. "Research on Education and Teaching of Artificial Intelligence Enabling Intelligent Construction." Global Research in Higher Education 7, no. 3 (2024): p35. http://dx.doi.org/10.22158/grhe.v7n3p35.

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This study is committed to in-depth analysis of the practical application of artificial intelligence in intelligent construction teaching and its empowerment effect. An efficient and intelligent teaching platform is built, which can intelligently recommend relevant learning resources according to students’ learning progress and feedback, and track students’ learning situation in real time. This personalized learning style not only improves the learning efficiency of students, but also enables them to better adapt and master the knowledge and skills in the field of intelligent construction. The

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Dai, Dan Dan. "Artificial Intelligence Technology Assisted Music Teaching Design." Scientific Programming 2021 (December 21, 2021): 1–10. http://dx.doi.org/10.1155/2021/9141339.

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With the continuous improvement of the global economic level and scientific level, information technology has penetrated into all fields of people’s life. Today, the strategy of vigorously promoting educational modernization has created conditions for intelligent music teaching and promoted the in-depth application of artificial intelligence technology in education. Intelligent instructional design supported by artificial intelligence technology is the deep integration of information technology and music teaching. Through the intelligent perception technology, learning analysis technology, and

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Himanshu Mittal, Munish Kumar Tiwari, Raj Kumar,. "Support for Artificial Intelligence and PHM in Military Intelligent Equipment Artificial Intelligence." Tuijin Jishu/Journal of Propulsion Technology 44, no. 4 (2023): 3372–78. http://dx.doi.org/10.52783/tjjpt.v44.i4.1472.

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The implementation framework, key technologies, and guarantee decision-making methods for AI-based military intelligent equipment are studied in order to address the issues of low intelligence and networking in predictive maintenance of military intelligent equipment as well as difficulty in physical model modeling.The PHM system architecture is integrated into the construction of the health management of military intelligent equipment, which benefits from AI's exceptional capabilities of communication throughout the entire network, pan-awareness, and self-learning. The technology makes it pos

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ROZHNOVSKYI, Mikhailo, Iryna ROZHNOVSKA, and Taisiia MOSKALENKO. "ANALYSIS OF MACHINE LEARNING METHODS FOR SOLVING ANTENNA TECHNOLOGY PROBLEMS." MEASURING AND COMPUTING DEVICES IN TECHNOLOGICAL PROCESSES, no. 2 (June 25, 2024): 217–25. http://dx.doi.org/10.31891/2219-9365-2024-78-26.

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The scheme of modern machine learning methods classification is considered and presented. The content of each methods in the classification is briefly disclosed. A structural diagram of an adaptive antenna system with an artificial intelligence unit is presented, and the principle of this scheme operation is explained. The role and function of the artificial intelligence unit within the adaptive antenna system are elucidated. The existing classes of machine learning methods are analyzed to determine their potential applicability to adaptive antenna systems for the purpose of intelligent contro

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Syahrizal, Syahrizal, Fifi Yasmi, and Thomson Mary. "Discourse on Artificial Intelligence Design Using ITS and SDLC Methods in Building Islamic Religious Education Learning Applications." Journal of Pragmatics and Discourse Research 3, no. 1 (2023): 46–28. http://dx.doi.org/10.51817/jpdr.v3i1.330.

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The development of increasingly sophisticated programming language technology where designed algorithms are able to think intelligently have been used for various purposes that are good for humans. This technology can also be applied to Islamic religious learning by using an intelligent tutoring system combined with artificial intelligence to: find sources of books, source modules, hadiths, verses of the Koran and their translations that are really related to learning with correct and solid data and compare Islamic teaching methods. The application program was built using two methods, namely t

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Chelkovan, Viktor. "Use of Artificial Intelligence Methods in the Intelligent Decision Support System." Electronics and Control Systems 1, no. 79 (2024): 16–21. http://dx.doi.org/10.18372/1990-5548.79.18437.

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The article is devoted to the study of the use of artificial intelligence methods in decision-making support systems, particularly in military affairs. Examples of the application of artificial intelligence methods, such as expert systems and machine learning, which can be used to optimize management and strategic decisions in military operations, are considered. Special attention is paid to the use of decision trees in military scenarios as a tool for modeling possible options for the development of events and making optimal decisions. Decision trees allow a decision support system to analyze

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Kalugin, Vladimir, Alexander Lutsenko, Irina Romanova, and Ding Ye. "Development of teaching programs of artificial intelligence methods in aerospace education." SHS Web of Conferences 137 (2022): 01006. http://dx.doi.org/10.1051/shsconf/202213701006.

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As a part of the National Strategy on Artificial Intelligence development in the Russian Federation, the basic concepts and definitions related to artificial intelligence (AI) and the necessity for the preparation of training programs were analyzed. The analysis of Federal state educational standards (FSES) and professional standards for enlarged groups of specialties and directions (EGSD) 24.00.00 AEROSPACE ENGINEERING was conducted and the perspective programs on the foundations of artificial intelligence and intelligent data analysis were proposed.

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10

Bryndin, Evgeny. "Functional and Harmonious Selforganization of Large Intellectual Agent Ensembles with Smart Hybrid Competencies via Wireless and Mobile Networks." International Journal of Wireless & Mobile Networks 13, no. 05 (2021): 1–13. http://dx.doi.org/10.5121/ijwmn.2021.13501.

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Artificial intelligence of large ensembles of intelligent agents in terms of computing power surpasses human intelligence. He is capable of artificial thinking and understanding. Giant ensembles of intellectual agents with artificial consciousness and intelligence are able, for the results set by the person necessary for him, to find solutions for their obtaining on the basis of professional competence and experience accumulation. The professional competence of artificial intelligence is the ability to use technologies, including computer vision, natural language processing, speech recognition

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11

Sadat Sadidpour, Saeedeh, and Saeed Shiry Ghidary. "Remedy Selection based on Artificial Intelligent Methods." International Journal of Computer Applications 19, no. 9 (2011): 6–9. http://dx.doi.org/10.5120/2392-2919.

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12

Sun, Yixuan. "Modelling methods of artificial intelligence in medical application." Applied and Computational Engineering 18, no. 1 (2023): 42–47. http://dx.doi.org/10.54254/2755-2721/18/20230962.

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Artificial intelligence is a branch of computer science, an intelligent system that can simulate human thinking, recognize complex situations, acquire learning abilities and knowledge, and solve problems. With the continuous development of information technology, artificial intelligence techniques are increasingly being improved and applied to large-scale genetics research, image detection and classification in medicine. Predictive models for medical data can be built using a wide range of machine learning algorithms: decision trees, multilayer perceptrons, plain Bayes, random forests, and sup

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13

Антонова, А. А., and С. В. Пальмов. "Features of Applying Artificial Intelligence Methods in Medicine." Industrial Economics, no. 1 (February 24, 2024): 72–77. http://dx.doi.org/10.47576/2949-1886.2024.1.1.011.

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Цель исследования – выявить возможности использования методов искусственного интеллекта в медицинских проектах. Результатом работы являются предложенные решения по преодолению проблем, связанных с использованием интеллектуальных алгоритмов в этой области. The purpose of the study is to identify the possibilities of using artificial intelligence methods in medical projects. The result of the work is the proposed solutions to overcome the problems associated with the use of intelligent algorithms in this area.

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14

Lu, Yan Xin, and Zi Qun Zhang. "Intelligent Information Processing Based on Classical Logic and Applied Mechanics." Applied Mechanics and Materials 214 (November 2012): 58–62. http://dx.doi.org/10.4028/www.scientific.net/amm.214.58.

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Intelligent information processing is one of important research parts of knowledge reasoning as well as methods in artificial intelligence. In this paper, the application of classical logic in artificial intelligence for intelligent information processing is mainly studied, and also accurate definitions of mathematical statements are given with logic rules, thus laying a good foundation for the research field of computer intelligent information processing.

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15

Long, Teng, Zhangbing Zhou, Gerhard Hancke, Yang Bai, and Qi Gao. "A Review of Artificial Intelligence Technologies in Mineral Identification: Classification and Visualization." Journal of Sensor and Actuator Networks 11, no. 3 (2022): 50. http://dx.doi.org/10.3390/jsan11030050.

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Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine capable of responding in a manner similar to human intelligence. Research in this area includes robotics, language recognition, image identification, natural language processing, and expert systems. In recent years, the availability of large datasets, the development of effective algorithms, and access to powerful computers have led to unprecedented success in artificial intelligence. This powerful tool has been used in numerous scientific and en

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Lian, Fei, and Guang Tian Zou. "Theory and Methods on Tactics Generation of Extension Architectural Programming Facing to Artificial Intelligence." Applied Mechanics and Materials 236-237 (November 2012): 659–65. http://dx.doi.org/10.4028/www.scientific.net/amm.236-237.659.

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Theories and methods of tactics generation are not developed as well as other aspects in Architectural Programming. Rules and methods of solving problems and innovating in the process of generating tactics are deficient. This research which proposes the theory and methods facing to intelligent tactics generation in Architectural Programming is an applying basic study on the intersection of Extenics, Architectural Programming, and Artificial Intelligence. It promotes the combination and application of Architecture, Extenics, and Artificial Intelligence. Moreover it promotes the creative thinkin

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17

Kazimov, Tofig, Tamilla Bayramova, and Nazakat Malikova. "Research of intelligent methods of software testing." System research and information technologies, no. 4 (December 22, 2021): 42–52. http://dx.doi.org/10.20535/srit.2308-8893.2021.4.03.

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This article presents the examination of several techniques and tools used in the automated software testing process. Considering the ever-growing importance of software testing, several possible implications of implementation of artificial intelligence into this area are also discussed. The main objective of this study is to examine the field of test automation by categorising related test activities, to which artificial intelligence tools can be applied for increased efficiency, and evaluate the impact of the application. The main software testing methods are white-box, black-box, and grey-b

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18

Chibalashvili, Asmati. "Artificial intelligence in artistic practices." Contemporary Art, no. 17 (November 30, 2021): 41–50. http://dx.doi.org/10.31500/2309-8813.17.2021.248425.

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The article considers methods of involving artificial intelligence in artistic practices. Based on the analysis of ways to use this technology in visual arts and music, the basic principles of working with artificial intelligence technology are identified, including: imitation of historical art, implemented in projects The Next Rembrandt and Choral; generative art, which is found in the works “Hyperbolic Composition І” and “Hyperbolic Composition ІІ” of S. Eaton and also in the AIVA program (Artificial Intelligence Virtual Artist). The importance of the mechanisms of neurobiology in the proces

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19

Ke, Yihan. "Comparative Analysis of Path Planning Algorithms and Prospects for Practical Application." Highlights in Science, Engineering and Technology 52 (July 4, 2023): 202–7. http://dx.doi.org/10.54097/hset.v52i.8889.

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Path planning, as an important applications of artificial intelligence technology in the field of intelligent transportation, has a wide range of application prospects in achieving efficient, intelligent, and safe travel. This paper first introduces the importance of path planning technology in the field of transportation, and then discusses the development of path planning from two aspects: traditional methods and new methods based on artificial intelligence. In terms of traditional methods, the principles and advantages and disadvantages of methods such as Dijkstra's algorithm, A* algorithm,

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20

Wang, Yajing. "The Application Status, Problems and Challenges of Artificial Intelligence Technology in the Teaching of British and American Literature." Education Reform and Development 7, no. 3 (2025): 101–7. https://doi.org/10.26689/erd.v7i3.9989.

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The rapid development of artificial intelligence technology has brought new opportunities and challenges to the teaching of British and American literature. This paper examines the application status of artificial intelligence technology in the teaching of British and American literature, analyzes its existing problems, and proposes corresponding countermeasures. The study finds that intelligent teaching aids, intelligent learning resources, and intelligent teaching methods have become important means to improve teaching effectiveness. However, it still faces challenges such as technical bottl

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21

Szymoniak, Sabina, Filip Depta, Łukasz Karbowiak, and Mariusz Kubanek. "Trustworthy Artificial Intelligence Methods for Users’ Physical and Environmental Security: A Comprehensive Review." Applied Sciences 13, no. 21 (2023): 12068. http://dx.doi.org/10.3390/app132112068.

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Artificial Intelligence is an indispensable element of the modern world, constantly evolving and contributing to the emergence of new technologies. We meet it in everyday applications, primarily using intelligent systems that aim to improve our lives. Artificial Intelligence techniques must inspire users’ trust because they significantly impact virtually every industry and person. For this reason, systems using Artificial Intelligence are subject to many requirements to verify their trustworthiness in various aspects. This review focused on users’ physical and environmental security, consideri

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22

Ma, Wenbo, and Hongjie Chen. "Application Scenarios and Forms of Artificial Intelligence in Physical Education." Advances in Education, Humanities and Social Science Research 9, no. 1 (2024): 13. http://dx.doi.org/10.56028/aehssr.9.1.13.2024.

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The application of artificial intelligence in physical education is analyzed. The manifestations of artificial intelligence in physical education are as follows: accurate diagnosis, process monitoring, personalized service and intelligent decision-making; The application forms are as follows: intelligent tutor system, automatic evaluation system and physical education robot. The prospect of artificial intelligence in physical education is put forward: facing modernization and building a learning society; Facing the world, changing the teaching concept; Facing the future, innovating physical ed

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23

Ibodullayev, Sardor Nasriddin o'g'li, and Yaxyobek Sobirjon o'g'li Sodiqjonov. "ARTIFICIAL INTELLIGENCE AND ITS METHODS IN VIRTUAL REALITY." "Yosh mutaxassislar" ilmiy-amaliy jurnali. 2023-06, no. 1 (2023): 57–64. https://doi.org/10.5281/zenodo.8043452.

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<strong>Annotation</strong>: Artificial intelligence (AI) has the potential to revolutionize the way we experience virtual reality (VR). By using machine learning algorithms and other AI-powered techniques, developers can create VR experiences that are more immersive, interactive, and personalized. AI can be used to create intelligent avatars that can interact with users in real-time, recognize objects in VR environments, create more sophisticated chatbots, and detect and respond to user emotions in real-time. As AI technology continues to evolve, we can expect to see even more innovative and

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24

Loginova, Svetlana I. "METHODS OF ARTIFICIAL INTELLIGENCE IN PROTOTYPING PERSONAL ASSISTANT BOOK AI." Scientific Journal of the Academy 15, no. 4 (2024): 55–59. https://doi.org/10.36683/nz52.55-59.

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The article considers the use of artificial intelligence technologies to solve the problems of creating personal assistant to facilitate reading books. The paper analyzes the functionality of common personal reading assistants and suggests the ways to improve them. The article describes the prototyping of intelligent personal assistant application designed to facilitate the process of reading BOOK AI based on the Django framework.

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Li, Yibing. "Intelligent Ideological and Political Education: The New Role of Artificial Intelligence." Lecture Notes in Education Psychology and Public Media 51, no. 1 (2024): 75–80. http://dx.doi.org/10.54254/2753-7048/51/20240943.

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Intelligent political and ideological education has steadily gained popularity in today's educational landscape due to the rapid advancement of artificial intelligence technology. This research aims to investigate the emerging role of artificial intelligence in political and ideological education. First of all, we clearly define and explain the concept of intelligent ideological and political education, and deeply analyze the basic connotation and characteristics of intelligent ideological and political education including its important value. Secondly,we analyze the application status of arti

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Ali Ghorba, Mohammad, Honeyeh Kazemi, Davod Farsadizad, and Peyman Yousefi. "Prediction of Air Temperature Using Artificial Intelligent Methods." Journal of Engineering and Applied Sciences 7, no. 2 (2012): 134–42. http://dx.doi.org/10.3923/jeasci.2012.134.142.

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Dr., Ali Mirza Mahmood, Kowshik Borra, and Ali Mirza Faheem. "Artificial Intelligence Techniques, Methods and Framework: An Epigrammatic Analysis." Advancement of Computer Technology and its Applications 8, no. 1 (2024): 28–38. https://doi.org/10.5281/zenodo.13999765.

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<em>The development of artificial intelligence and intelligent systems began with the invention of computers and their exponential growth in performance of diverse tasks. Artificial intelligence is a subfield of computer science that aims to create machines or computers with cognitive abilities comparable to those of humans. Major subfields of this field include robotics and expert systems. Another goal is to use computers to enhance human thought processes in the same way that motors enhance human or horse power. Real-world applications are numerous and varied.</em> <em>The purpose of this wo

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Poplavskyi, Oleksandr. "Modern methods of risk management in Ukrainian energy markets." Management of Development of Complex Systems, no. 58 (June 28, 2024): 162–68. http://dx.doi.org/10.32347/2412-9933.2024.58.162-168.

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In the context of rapid technological development and increasing instability on global markets, the issue of developing effective risk management methods on Ukrainian energy markets becomes particularly important. Modern risk management methods include the use of machine learning algorithms to predict and minimize potential threats. This study focuses on the implementation of innovative machine learning and artificial intelligence technologies to anticipate risks in energy markets and respond timely to potential stresses. This paper explores the development of intelligent risk management syste

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Adel, Mohammed Ahmed Abou, Moustafa Mohamed Abouelnour, Mohammad Issa Alhourani, and Asmaa A. Awad. "Towards Intelligent Universities Enhanced with Artificial Intelligence (AI)." Journal of Infrastructure, Policy and Development 9, no. 1 (2025): 10412. https://doi.org/10.24294/jipd10412.

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This paper presents a comprehensive and integrated paradigm for intelligent universities using artificial intelligence (AI) to transform management systems and teaching, thus complementing sustainable development objectives. Through a systematic examination of top worldwide universities’ AI applications, this study reveals key achievements, obstacles, and strategies for successfully implementing AI-driven intelligent universities. Every case study focuses on a particular AI-driven project, including the adaptive learning systems at MIT, the AI teaching assistant Jill Watson at Georgia Tech, an

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Liu, Gengran, Gaofeng Dong, Qiong Liu, and Menglong Wang. "Research on economic policy system evaluation methods." SHS Web of Conferences 145 (2022): 01015. http://dx.doi.org/10.1051/shsconf/202214501015.

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Great progress has been made in construction of economic policy system in recent years. Nevertheless, there are also difficulties in accurate inquiry, efficient use and comparative analysis. In a bid to address critical problems of the existed system, this paper builds an intelligent policy system platform. By adopting the big data and artificial intelligence technologies, a number of functions such as accurate matching, system classification, and the analyses of relevance, life cycle, response level, time-effectiveness, self-consistency, maneuverability and so on are made available, so as to

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Zeng, Qiongjuan, and Min Zhang. "Research on the Use of Intangible Cultural Heritage (ICH) Music in Primary and Secondary School Music Education in the Era of Artificial Intelligence." Journal of Education and Educational Research 11, no. 3 (2024): 109–13. https://doi.org/10.54097/acsq8y06.

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Recently, the General Office of the Ministry of Education issued the Notice on Strengthening Artificial Intelligence Education in Primary and Secondary Schools, which will basically popularize artificial intelligence education in primary and secondary schools before 2030. Nowadays, in the era of artificial intelligence, how to intelligently integrate intangible cultural heritage (ICH) music into primary and secondary school music education, this paper elaborates in detail from building digital curriculum system, exploring intelligent teaching methods, and applying scientific teaching evaluatio

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Li, Xiaoxuan, Danfei Liu, Yumei Pu, and Yunfei Zhong. "Recent Advance of Intelligent Packaging Aided by Artificial Intelligence for Monitoring Food Freshness." Foods 12, no. 15 (2023): 2976. http://dx.doi.org/10.3390/foods12152976.

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Food safety is a pressing concern for human society, as it directly impacts people’s lives, while food freshness serves as one of the most crucial indicators in ensuring food safety. There exist diverse techniques for monitoring food freshness, among which intelligent packaging based on artificial intelligence technology boasts the advantages of low cost, high efficiency, fast speed and wide applicability; however, it is currently underutilized. By analyzing the current research status of intelligent packaging both domestically and internationally, this paper provides a clear classification of

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I. Diveev, Askhat, and Sabit Ibadulla. "EVOLUTIONAL METHODS FOR CREATING ARTIFICIAL INTELLIGENCE OF ROBOTIC TECHNICAL SYSTEMS." Applied Researches in Technics, Technologies and Education 16, no. 2 (2018): 148–52. http://dx.doi.org/10.15547/artte.2018.02.010.

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This paper considers evolutionary methods of symbolic regression for the creation of artificial intelligence of robotic systems. Methods of symbolic regression are reviewed and the features of their application to the solution of the problem of synthesis of control of robotic systems are indicated. The measure of the complexity of artificial intelligence is determined and the advantage of using the principle of small variations of the basic solution is shown, while creating intelligent control systems. A method of variational genetic programming is described and an example of its use for the s

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Linqi, Zhang. "Using Artificial Intelligence in Education." Humanitarian Vector 20, no. 1 (2025): 105–12. https://doi.org/10.21209/1996-7853-2025-20-1-105-112.

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With the continuous development of artificial intelligence technologies, its application in the field of education has attracted increasing attention. The purpose of the study is to analyze the possibilities and prospects of using artificial intelligence to improve the efficiency of the educational process and achieve educational equality. The article discusses various applications of artificial intelligence in education, including personalized learning, intelligent tutoring systems, intelligent assessment and more. The research methods in the philosophical context are literature review, diale

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Cai, Xiaojuan. "Digital Intelligent Transformation and Promotion Path of New Business Talent Training Model under the Background of Artificial Intelligence." Journal of Industry and Engineering Management 2, no. 1 (2024): 51–56. http://dx.doi.org/10.62517/jiem.202403108.

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This paper aims to explore the digital intelligent transformation and promotion path of the new business talent-training model under the background of artificial intelligence. By systematically combing relevant literature and theories, using the method of literature review, combined with empirical research, this paper analyzes the impact and challenge of artificial intelligence on business education. On this basis, the key elements and strategies of digital intelligent transformation are proposed. It is found that the new business talent-training mode in the context of artificial intelligence

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Zaitceva, Iuliia, and Boris Andrievsky. "Methods of Intelligent Control in Mechatronics and Robotic Engineering: A Survey." Electronics 11, no. 15 (2022): 2443. http://dx.doi.org/10.3390/electronics11152443.

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Artificial intelligence is becoming an increasingly popular tool in more and more areas of technology. New challenges in control systems design and application are related to increased productivity, control flexibility, and processing of big data. Some kinds of systems require autonomy in real-time decision-making, while the other ones may serve as an essential factor in human-robot interaction and human influences on system performance. Naturally, the complex tasks of controlling technical systems require new modern solutions, but there remains an inextricable link between control theory and

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Ye, Yufan. "Intelligent Logistics under Artificial Intelligence and Big Data." Advances in Economics, Management and Political Sciences 62, no. 1 (2023): 277–82. http://dx.doi.org/10.54254/2754-1169/62/20231360.

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With the development of science and technology, high-tech technologies such as artificial intelligence and big data are gradually being applied to daily life. Digitalization has become a new driving force for the transformation and upgrading of the logistics industry, and there are many problems in the current logistics market. The logistics industry has developed rapidly, but the problems of low inventory management and transportation efficiency have not been effectively solved. Research in the field of logistics should not be limited to certain aspects, but should take a holistic approach. I

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Yang, Liping, Joshua Driscol, Sarigai Sarigai, Qiusheng Wu, Christopher D. Lippitt, and Melinda Morgan. "Towards Synoptic Water Monitoring Systems: A Review of AI Methods for Automating Water Body Detection and Water Quality Monitoring Using Remote Sensing." Sensors 22, no. 6 (2022): 2416. http://dx.doi.org/10.3390/s22062416.

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Water features (e.g., water quantity and water quality) are one of the most important environmental factors essential to improving climate-change resilience. Remote sensing (RS) technologies empowered by artificial intelligence (AI) have become one of the most demanded strategies to automating water information extraction and thus intelligent monitoring. In this article, we provide a systematic review of the literature that incorporates artificial intelligence and computer vision methods in the water resources sector with a focus on intelligent water body extraction and water quality detection

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Bhosale, Ashwini. "INTERACTIVE TOYS (ARTIFICIAL INTELLIGENCE)." EPH - International Journal of Science And Engineering 5, no. 2 (2019): 23–26. http://dx.doi.org/10.53555/eijse.v5i2.94.

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This paper presents the potential use of interactive environments as learning and teaching tools for use in the therapy of children. It is expected that a new generation of children will increasingly use computer technology in a variety of contexts, including interactive robotic toys, digitally enhanced objects. New interactive systems and novel interfaces are also likely to impact on methods of therapy and rehabilitation. In particular, the physical shape and behaviour of socially intelligent agents, that display aspects of human-style social intelligence teach social intelligence to humans w

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Ju’An Wang. "The Current Situation, Characteristics and Prospects of the Research on Tennis Theme Literature in China from the Perspective of Artificial Intelligence." Journal of Electrical Systems 20, no. 3 (2024): 135–43. http://dx.doi.org/10.52783/jes.2366.

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With the rapid development of artificial intelligence technology, the function of artificial intelligence to help the high-quality development of sports is increasingly visible, and the continuous, comprehensive and deep integration of artificial intelligence and sports will be an inevitable trend. This paper summarized and analyzed the characteristics of the tennis research theme literature published in the core journals of China from 2012 to 2022 by using the methods of literature and logical induction. The results show that, in the past 10 years, there are problems such as insufficient use

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Li, Yanxia. "Intelligent Environmental Art Design Combining Big Data and Artificial Intelligence." Complexity 2021 (June 10, 2021): 1–11. http://dx.doi.org/10.1155/2021/1606262.

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The widespread use of artificial intelligence in the field of design teaching has become a development trend, and for the art design profession, we should conform to and actively adapt to this development trend, change the original teaching mode, innovate their own teaching methods, constantly enrich the teaching methods, so as to improve the quality of teaching, and constantly cultivate high-quality art design talents in the new era. For the subject students, they grow up under the Internet. They are more affectionate to many new technologies, and the traditional teaching methods have some pr

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Troshina, E. A., S. M. Zakharova, K. V. Tsyguleva, et al. "Application of artificial intelligence in ultrasound diagnostics of thyroid nodules." Clinical and experimental thyroidology 20, no. 1 (2024): 15–29. http://dx.doi.org/10.14341/ket12782.

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BACKGROUND: the use of artificial intelligence in ultrasound diagnosis of thyroid nodules is expected and quite promising. However, in order to understand this, it is necessary to see how a doctor works with its help, diagnosing diseases step by step, and how exactly this intelligence is implemented in practical healthcare. The current publication provides an overview of existing intelligent systems for supporting medical decisions in thyroidology, and describes in detail the capabilities of the Russian intelligent computer assistant for ultrasound diagnostics - a system for stratifying thyroi

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Шевская, Н. В. "Explainable artificial intelligence and methods for interpreting results." МОДЕЛИРОВАНИЕ, ОПТИМИЗАЦИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ 9, no. 2(33) (2021): 24–25. http://dx.doi.org/10.26102/2310-6018/2021.33.2.024.

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Системы искусственного интеллекта используются во многих сферах обеспечения жизни человека, будь то, например, финансы или медицина. С каждым годом интеллектуальные системы обрабатывают все больше и больше данных и принимают все больше и больше решений. Эти решения оказывают большее влияние на судьбы людей. Краеугольным камнем становится недоверие к полностью нечеловеческим, автономным системам искусственного интеллекта. Ключ недоверия кроется в непонимании того, почему интеллектуальные системы принимают то или иное решение, исходя из каких убеждений такие системы действуют (и есть ли у них св

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Fritz, Roschelle L., and Gordana Dermody. "Interpreting Health Events in Big Data Using Qualitative Traditions." International Journal of Qualitative Methods 19 (January 1, 2020): 160940692097645. http://dx.doi.org/10.1177/1609406920976453.

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The training of artificial intelligence requires integrating real-world context and mathematical computations. To achieve efficacious smart health artificial intelligence, contextual clinical knowledge serving as ground truth is required. Qualitative methods are well-suited to lend consistent and valid ground truth. In this methods article, we illustrate the use of qualitative descriptive methods for providing ground truth when training an intelligent agent to detect Restless Leg Syndrome. We show how one interdisciplinary, inter-methodological research team used both sensor-based data and the

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Calp, M. Hanefi. "Evaluation of Multidisciplinary Effects of Artificial Intelligence with Optimization Perspective." BRAIN. Broad Research in Artificial Intelligence and Neuroscience 10, no. 1 (2019): 20. https://doi.org/10.70594/brain/v10.i1/2.

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Artificial Intelligence has an important place in the scientific community as a result of its successful outputs in terms of different fields. In time, the field of Artificial Intelligence has been divided into many sub-fields because of increasing number of different solution approaches, methods, and techniques. Machine Learning has the most remarkable role with its functions to learn from samples from the environment. On the other hand, intelligent optimization done by inspiring from nature and swarms had its own unique scientific literature, with effective solutions provided for optimizatio

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Xiao, Mingxin. "Research on Intelligent Control and Optimization Methods in Power Systems." Journal of Economics and Public Finance 10, no. 2 (2024): p153. http://dx.doi.org/10.22158/jepf.v10n2p153.

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As the scale and complexity of power systems continue to expand, traditional control and optimization methods are increasingly unable to meet the needs of modern power systems. Intelligent control and optimization methods, by introducing advanced artificial intelligence technologies, can better address complex issues within power systems. This paper explores the application of intelligent control and optimization methods in power systems, analyzing their basic principles, implementation methods, and practical application cases. The research aims to improve the operational efficiency and stabil

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Mustafa Vatankhah, Kanan Talibli, Mustafa Vatankhah, Kanan Talibli. "INTELLECTUAL TECHNOLOGIES IN THE MANAGEMENT OF OIL FIELDS." PIRETC-Proceeding of The International Research Education & Training Centre 23, no. 02 (2023): 108–17. http://dx.doi.org/10.36962/piretc23022023-108.

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The goal of this effort is to create new strategies and enhance the control over oil-producing wells and an oilfield using artificial intelligence techniques. The advancement of knowledge necessitates the implementation of intelligent technologies with the objective of creating a unified scientific and technological oilfield space. Methods for optimizing operation modes for complex technological systems; expert knowledge-based decision-support systems; unified requirements for intelligent system interfaces and modules, as well as means to represent and store knowledge, including distributed kn

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Sokolov, I. A. "Theory and practice in artificial intelligence." Вестник Российской академии наук 89, no. 4 (2019): 365–70. http://dx.doi.org/10.31857/s0869-5873894365-370.

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Artificial Intelligence is an interdisciplinary field, and formed about 60 years ago as an interaction between mathematical methods, computer science, psychology, and linguistics. Artificial Intelligence is an experimental science and today features a number of internally designed theoretical methods: knowledge representation, modeling of reasoning and behavior, textual analysis, and data mining. Within the framework of Artificial Intelligence, novel scientific domains have arisen: non-monotonic logic, description logic, heuristic programming, expert systems, and knowledge-based software engin

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Yang, Xuan, Zhiyan Pu, and Lei Zhang. "Designing Data Visualization Using Artificial Intelligence for Urban Intelligent Transportation Scenarios." Mobile Information Systems 2022 (August 27, 2022): 1–11. http://dx.doi.org/10.1155/2022/3967267.

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Artificial intelligence refers to a simulation extension and expansion technology that has found its presence in various applications and research domains. Artificial intelligence allows the related theories to portray similar to human intelligence. It combines developments in several fields, including computer science, statistics, and linguistics. The research objects of data visualization can be divided into three aspects: data, visualization technology, and visualization performance. This paper aims to study the data visualization design of artificial intelligence in urban intelligent trans

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Singh, Alka. "Artificial Intelligence based Intelligent Tourism System-Go My Way." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (2021): 248–53. http://dx.doi.org/10.22214/ijraset.2021.34763.

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At the moment, we find that tourists usually spend more time planning their trip because they need to spend every minute. In this context, this application aims to identify the main computer needs to support the improvement of the tourist promotion point, using the mobile application proposal. Currently, for regular tourists and travelers they spend a lot of time planning and deciding on their trip to achieve maximum satisfaction. In this case, the app aims to identify the main computer needs to support the development of the tourist promotion point. This paper suggests a model for use in an i

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