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Щоб переглянути інші типи публікацій з цієї теми, перейдіть за посиланням: Artificial intelligent algorithms.

Статті в журналах з теми "Artificial intelligent algorithms"

Автор: Grafiati

Опубліковано: 28 травня 2022

Оновлено: 31 липня 2025

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1

BUITEN, Miriam C. "Towards Intelligent Regulation of Artificial Intelligence." European Journal of Risk Regulation 10, no. 1 (2019): 41–59. http://dx.doi.org/10.1017/err.2019.8.

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Artificial intelligence (AI) is becoming a part of our daily lives at a fast pace, offering myriad benefits for society. At the same time, there is concern about the unpredictability and uncontrollability of AI. In response, legislators and scholars call for more transparency and explainability of AI. This article considers what it would mean to require transparency of AI. It advocates looking beyond the opaque concept of AI, focusing on the concrete risks and biases of its underlying technology: machine-learning algorithms. The article discusses the biases that algorithms may produce through

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2

Guo, Aipeng, and Chunhui Yuan. "Network Intelligent Control and Traffic Optimization Based on SDN and Artificial Intelligence." Electronics 10, no. 6 (2021): 700. http://dx.doi.org/10.3390/electronics10060700.

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For telecom operators, it is of great significance to employ artificial intelligence (AI) and big data technology in a software-defined network (SDN) in order to achieve intelligent network control, traffic management and optimization. This paper proposes a solution for intelligent work control and traffic optimization. This paper is mainly focused on SDN-based network traffic algorithm optimization and experimental verification. In this paper, we design a network control mechanism for network intelligent control as well as solutions for traffic optimization based on SDN and artificial intelli

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3

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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4

Zhao, Ziming, and Jinyu Chen. "Application of artificial intelligence technology in the economic development of urban intelligent transportation system." PeerJ Computer Science 11 (March 20, 2025): e2728. https://doi.org/10.7717/peerj-cs.2728.

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With the rapid development of the social economy and the gradual improvement of residents’ living standards, the increasing number of urban cars has exacerbated urban traffic congestion. This article analyzed the application of artificial intelligence (AI) technology in five aspects of urban intelligent transportation systems. Artificial intelligence technology was used in traffic data collection and processing to provide accurate data support for traffic decision-making. A traffic flow prediction model was established for traffic flow prediction and optimized scheduling algorithms were used t

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5

Lie, Luo. "Heuristic Artificial Intelligent Algorithm for Genetic Algorithm." Key Engineering Materials 439-440 (June 2010): 516–21. http://dx.doi.org/10.4028/www.scientific.net/kem.439-440.516.

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A genetic algorithm is a search technique used in computing to find exact or approximate solutions to optimization and search problems. Genetic algorithms are categorized as global search heuristics. Genetic algorithms are a particular class of evolutionary algorithms that use techniques inspired by evolutionary biology such as inheritance, mutation, selection, and crossover.

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6

Lin, Yangqi, Qian Luo, and Yuzhao Qian. "Investigation of Artificial Intelligence algorithms in education." Applied and Computational Engineering 16, no. 1 (2023): 180–84. http://dx.doi.org/10.54254/2755-2721/16/20230886.

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The application of Artificial Intelligence (AI) in education has garnered increasing attention in recent years. This study investigates the primary methods of AI in education, including The Teaching Machine System, Intelligent Tutoring Systems, Intelligent Educational Systems, and the Intelligent College Student Comprehensive Quality Evaluation Model. The Teaching Machine System employs pre-defined rules and algorithms to deliver personalized instruction to students. Intelligent Tutoring Systems use AI algorithms to provide real-time feedback and guidance to students, tailoring the learning ex

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7

Gong, Fanghai. "Application of Artificial Intelligence Computer Intelligent Heuristic Search Algorithm." Advances in Multimedia 2022 (September 24, 2022): 1–12. http://dx.doi.org/10.1155/2022/5178515.

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In order to transform three-dimensional space path planning into two-dimensional plane path planning problem and greatly reduce the search time, an intelligent heuristic search algorithm based on artificial intelligence is proposed. The heuristic search algorithm is analyzed and introduced, and A is chosen. A two-dimensional spatial environment model of picking robot path planning is investigated, and a spatial model of picking robot path planning is established by raster method. Then, considering the whole day operation time, the whole day operation time is divided into several periods. With

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8

Peng, Qiang, Renjun Zhan, Husheng Wu, and Meimei Shi. "Comparative Study of Wolf Pack Algorithm and Artificial Bee Colony Algorithm." International Journal of Swarm Intelligence Research 15, no. 1 (2024): 1–24. http://dx.doi.org/10.4018/ijsir.352061.

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Анотація:

Swarm intelligence optimization algorithms have been widely used in the fields of machine learning, process control and engineering prediction, among which common algorithms include ant colony algorithm (ACO), artificial bee colony algorithm (ABC) and particle swarm optimization (PSO). Wolf pack algorithm (WPA) as a newer swarm intelligence optimization algorithm has many similarities with ABC. In this paper, the basic principles, algorithm implementation processes, and related improvement strategies of these two algorithms were described in detail; A comparative analysis of their performance

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9

Wu, Suzhen. "Design of Intelligent Nursing System Based on Artificial Intelligence." Journal of Sensors 2022 (August 21, 2022): 1–5. http://dx.doi.org/10.1155/2022/7427968.

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Анотація:

As the number of the elderly population and the population dependency ratio increase year by year, the issue of old-age care has become the focus. However, due to the shortage of carers and the large-scale and expensive auxiliary equipment for the elderly, it is difficult to give thoughtful care to all the elderly. In view of the above background, this paper designs a set of intelligent nursing system for the elderly based on artificial intelligence (AI) algorithms, which mainly includes sensor terminals and AI processing algorithms. Among them, the sensor terminal mainly includes two parts: v

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10

Sun, Jingran, Yuyin Zhang, Fangjia Fu, Liyan Kang, and Junxu Ma. "Research and Prospect of Intelligent Workshop AGV Path Planning Algorithm." Journal of Engineering Research and Reports 26, no. 7 (2024): 71–80. http://dx.doi.org/10.9734/jerr/2024/v26i71195.

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Path planning algorithm is one of the core algorithms for automatic guided vehicle（AGV）to complete the autonomous task of intelligent workshop. The research status of grid method and Viewable method in environment modeling at home and abroad is described. The research results of traditional path search algorithms such as artificial potential field method, Dijstra algorithm and A* algorithm are analyzed and compared with intelligent algorithms such as particle swarm optimization algorithm, ant colony algorithm and genetic algorithm. The analysis finds that in the face of complex workshop enviro

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11

Kaya, Ebubekir, Ceren Baştemur Kaya, Emre Bendeş, Sema Atasever, Başak Öztürk, and Bilgin Yazlık. "Training of Feed-Forward Neural Networks by Using Optimization Algorithms Based on Swarm-Intelligent for Maximum Power Point Tracking." Biomimetics 8, no. 5 (2023): 402. http://dx.doi.org/10.3390/biomimetics8050402.

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One of the most used artificial intelligence techniques for maximum power point tracking is artificial neural networks. In order to achieve successful results in maximum power point tracking, the training process of artificial neural networks is important. Metaheuristic algorithms are used extensively in the literature for neural network training. An important group of metaheuristic algorithms is swarm-intelligent-based optimization algorithms. In this study, feed-forward neural network training is carried out for maximum power point tracking by using 13 swarm-intelligent-based optimization al

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12

Qin, Yuqi. "Research on machine learning Algorithm optimization based on 0-1 coding." Journal of Physics: Conference Series 2083, no. 4 (2021): 042086. http://dx.doi.org/10.1088/1742-6596/2083/4/042086.

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Abstract Machine learning algorithm is the core of artificial intelligence, is the fundamental way to make computer intelligent, its application in all fields of artificial intelligence. Aiming at the problems of the existing algorithms in the discrete manufacturing industry, this paper proposes a new 0-1 coding method to optimize the learning algorithm, and finally proposes a learning algorithm of “IG type learning only from the best”.

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13

Wen, Lingying, Wen Lin, and Mingde Guo. "Study on Optimization of Marketing Communication Strategies in the Era of Artificial Intelligence." Mobile Information Systems 2022 (October 11, 2022): 1–11. http://dx.doi.org/10.1155/2022/1604184.

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Анотація:

This paper starts from the research of computational advertising and scene theory, based on the background of artificial intelligence technology application, and studies the communication strategy of the computational advertising scene. It studies the three major strategies of computing advertising scene communication and deeply analyzes the principles and applications of scene insight strategy, content selection strategy, and community operation strategy. Results show the following: (1) under the background that the era of artificial intelligence has arrived, computing advertising uses artifi

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14

Sun, Xiaotian. "A Novel Method for Handicrafts Design Based on Fusion of Multi-Intelligent Decision Algorithm." Scientific Programming 2022 (January 3, 2022): 1–13. http://dx.doi.org/10.1155/2022/8495381.

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Анотація:

With the rapid development of artificial intelligence, handicraft design has developed from artificial design to artificial intelligence design. Traditional handicraft design has the problems of long time consumption and low output, so it is necessary to improve the process technology. Artificial intelligence technology can provide optimized design steps in handicraft design and improve design efficiency and process level. Handicrafts are regarded as important social products and exist in people’s daily life. In the current society, many people do handicrafts and there are major exhibitions. F

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15

Wang, Shifa, Peilin Mo, Dengfeng Li, and Asad Syed. "Intelligent Algorithms Enable Photocatalyst Design and Performance Prediction." Catalysts 14, no. 4 (2024): 217. http://dx.doi.org/10.3390/catal14040217.

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Photocatalysts have made great contributions to the degradation of pollutants to achieve environmental purification. The traditional method of developing new photocatalysts is to design and perform a large number of experiments to continuously try to obtain efficient photocatalysts that can degrade pollutants, which is time-consuming, costly, and does not necessarily achieve the best performance of the photocatalyst. The rapid development of photocatalysis has been accelerated by the rapid development of artificial intelligence. Intelligent algorithms can be utilized to design photocatalysts a

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16

Wei, YongHui, KeYu Zhao, XueQiang Lv, et al. "Research on Intelligent Embedded Fan System Based on YOLOv2 Lightweight Algorithm." Computational Intelligence and Neuroscience 2022 (July 22, 2022): 1–9. http://dx.doi.org/10.1155/2022/3484268.

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With the development of artificial intelligence, the application of intelligent algorithms to low-power embedded chips has become a new research topic today. Based on this, this study optimizes the YOLOv2 algorithm by tailoring and successfully deploys it on the K210 chip to train the face object detection algorithm model separately. The intelligent fan with YOLOv2 model deployed in K210 chip can detect the target of the character and obtain the position and size of the character in the machine coordinates. Based on the obtained information of character coordinate position and size, the fan's

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17

Vivek, Thoutam. "Genetic Algorithms and Developments of Intelligent Machines." International Journal of Research and Applications 7, no. 28 (2020): 1801–7. https://doi.org/10.5281/zenodo.13194757.

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<strong>ABSTRACT</strong> Artificial intelligence is the study as well as progressions of smart devices and also a program that can rationalize, discover, gather know-how, interact, man oeuvre as well as recognize the objects. John McCarthy created the term in 1956 as the limb of computer technology concerned with creating computers act like human beings. It is the research study of the estimation that makes it achievable to identify the reason and act. Artificial intelligence is different coming from psychological science given that, it is emphasis on estimation and a

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18

Thoutam, Vivek. "Genetic Algorithms and Developments of Intelligent Machines." International Journal of Research and Applications 7, no. 28 (2020): 1801–7. https://doi.org/10.5281/zenodo.13341415.

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Анотація:

<strong>ABSTRACT</strong>Artificial intelligence is the study as well as progressions of smart devices and also a program that can rationalize, discover, gather knowhow, interact, man oeuvre as well as recognize the objects. John McCarthy created the term in 1956 as the limb of computer technology concerned with creating computers act like human beings. It is the research study of the estimation that makes it achievable to identify the reason and act. Artificial intelligence is different coming from psychological science given that, it is emphasis on estimation an

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19

Pu, Hai. "Application Electrical Engineering Training and Intelligent Technology of Electrical and Electronic Technology under Artificial Intelligence Technology." E3S Web of Conferences 253 (2021): 01070. http://dx.doi.org/10.1051/e3sconf/202125301070.

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Анотація:

With the development of the times and the improvement of modern industrial technology, computer technology has been greatly developed, so a new concept has been put forward, that is, artificial intelligence. And the composition of modern life is mainly electricity, so in the current era, electronic technology has been rapidly developed. But the original electrical and electronic technology can no longer match today's intelligent technology, but electronic technology is the basis of the development of modern intelligent technology. Therefore, the purpose of this paper is to use artificial intel

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20

Sun, Muting, and Naye Ji. "Erosion and Remodeling: New Alienation of User Subjects Led by Intelligent Algorithms." Communications in Humanities Research 36, no. 1 (2024): 61–72. http://dx.doi.org/10.54254/2753-7064/36/2024bj0035.

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Анотація:

As the core technological means of today's artificial intelligence products, intelligent algorithms have become an indispensable tool for human development. They have led the progress of the intelligent era, fully demonstrating the powerful charm and infinite possibilities of technology, and depicting a hopeful intelligent future. However, while bringing convenience and imagination to users, it also makes them objects dominated by intelligent technology, gradually losing their independence and creativity as humans, losing their ability to criticize and think deeply, and causing a series of ine

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21

Penev, Kalin, Alexander Gegov, Olufemi Isiaq, and Raheleh Jafari. "Energy Efficiency Evaluation of Artificial Intelligence Algorithms." Electronics 13, no. 19 (2024): 3836. http://dx.doi.org/10.3390/electronics13193836.

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Анотація:

This article advances the discourse on sustainable and energy-efficient software by examining the performance and energy efficiency of intelligent algorithms within the framework of green and sustainable computing. Building on previous research, it explores the theoretical implications of Bremermann’s limit on efforts to enhance computer performance through more extensive methods. The study presents an empirical investigation into heuristic methods for search and optimisation, demonstrating the energy efficiency of various algorithms in both simple and complex tasks. It also identifies key fac

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22

Anchekov, M. I., A. Z. Apshev, K. Ch Bzhikhatlov, et al. "Principles of ontophylogenetic development of artificial general intelligence systems based on multi-agent neurocognitive architectures." BIO Web of Conferences 84 (2024): 02015. http://dx.doi.org/10.1051/bioconf/20248402015.

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The purpose of the study is to study the possibilities of multigenerational optimization of behavior control systems for agents of general artificial intelligence capable of independently solving a universal range of tasks in a real environment. The main principles of ontophylogenetic synthesis of control systems for agents of general artificial intelligence based on multi-agent neurocognitive architectures have been developed. Methods and algorithms for synthesizing the phenotypes of control systems of intelligent agents according to their genotypes are proposed. A software package for simula

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23

Zhao, Xiaoai. "Deep Mining Technology of Database Information Based on Artificial Intelligence Technology." International Journal of Information Technologies and Systems Approach 16, no. 2 (2023): 1–13. http://dx.doi.org/10.4018/ijitsa.316458.

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Анотація:

The database is the core of the information management system. When there is no modern management tool such as enterprise information management system, the status of enterprise resources and the direction of adjustment are unclear, and it is quite difficult to make adjustment arrangements. In order to improve the information mining ability of enterprise database in the future, this paper combines intelligent optimization technology under artificial intelligence technology with information mining technology, and compares its information mining ability with traditional technology. The research

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24

Zehra, Syeda Sundus, Syed Muhammad Nabeel Mustafa, and Rehan Qureshi. "Comparing Artificial Bees Colony Algorithm and Firefly Algorithm to Achieve Optimization in Route Selection Processing Time in VANETs." Pakistan Journal of Engineering and Technology 4, no. 2 (2021): 159–64. http://dx.doi.org/10.51846/vol4iss2pp159-164.

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In achieving Intelligent Transportation System (ITS), a new trending area in networking is Vehicular Ad-hoc Networks (VANETs). It is a sub branch of Mobile Ad-hoc Networks (MANETs) where all the nodes or devices are interlinked and interconnected wirelessly. The challenges that a VANET faces while communicating within a network are signal fading, routing decision making and connectivity hitch. All these three mentioned problems have already been discussed and well researched in history by using conventional techniques as well as intelligent techniques based on artificial intelligence. Amongst

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25

VASYLKIVSKYI, Mikola, Ganna VARGATYUK, and Olga BOLDYREVA. "INTELLIGENT RADIO INTERFACE WITH THE SUPPORT OF ARTIFICIAL INTELLIGENCE." Herald of Khmelnytskyi National University. Technical sciences 217, no. 1 (2023): 26–32. http://dx.doi.org/10.31891/2307-5732-2023-317-1-26-32.

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The peculiarities of the implementation of the 6G intelligent radio interface infrastructure, which will use an individual configuration for each individual subscriber application and flexible services with lower overhead costs, have been studied. A personalized infrastructure consisting of an AI-enabled intelligent physical layer, an intelligent MAC controller, and an intelligent protocol is considered, followed by a potentially novel AI-based end-to-end (E2E) device. The intelligent controller is investigated, in particular the intelligent functions at the MAC level, which may become key com

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26

Zheng, Lifang, Weixia Liu, and Hangying Chen. "Optimization of Patient Health Management Mechanism Under Intelligent Medical Information System." Journal of Medical Imaging and Health Informatics 12, no. 1 (2022): 83–91. http://dx.doi.org/10.1166/jmihi.2022.3782.

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The establishment of a scientific and complete intelligent medical information analysis application model is of great significance to promote the application of intelligent medical information. Aiming at the deficiencies of Artificial Fish School Algorithm (AFSA) in iterative convergence speed, low optimization accuracy, and Particle Swarm Optimization (PSO) algorithm easily falling into local extremes, this paper combines AFSA and PSO algorithms. We use the fast local convergence ability of the PSO algorithm to overcome the shortcomings of the AFSA algorithm’s low solution accuracy and slow c

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27

Siddhant, Garje* &. Dr. Anita Kumari**. "APPLICATION OF ARTIFICIAL INTELLIGENCE IN PETROLEUM INDUSTRY." International Journal of Engineering Research and Modern Education (IJERME) 8, no. 1 (2023): 13–18. https://doi.org/10.5281/zenodo.7663138.

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Artificial intelligence (AI) has been widely applied to optimization challenges in the petroleum exploration and production industry in recent years. With the new industry interest and enthusiasm for smart wells, intelligent fields, and real-time analysis and interpretation of enormous amounts of data for process optimization, our industry's need for powerful, resilient, and intelligent technologies has expanded dramatically. This survey provides a thorough literature analysis based on various types of AI algorithms, their application areas in the petroleum sector, and the geographical reg

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28

Wang, Huaizhu. "Transformation Path of Artificial Intelligence Algorithms and Intelligent Engineering Management." Procedia Computer Science 261 (2025): 520–28. https://doi.org/10.1016/j.procs.2025.04.241.

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29

Szczepaniuk, Hubert, and Edyta Karolina Szczepaniuk. "Applications of Artificial Intelligence Algorithms in the Energy Sector." Energies 16, no. 1 (2022): 347. http://dx.doi.org/10.3390/en16010347.

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Анотація:

The digital transformation of the energy sector toward the Smart Grid paradigm, intelligent energy management, and distributed energy integration poses new requirements for computer science. Issues related to the automation of power grid management, multidimensional analysis of data generated in Smart Grids, and optimization of decision-making processes require urgent solutions. The article aims to analyze the use of selected artificial intelligence (AI) algorithms to support the abovementioned issues. In particular, machine learning methods, metaheuristic algorithms, and intelligent fuzzy inf

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30

Liu, Yitong. "Implications of generative artificial intelligence for the development of the media industry." Advances in Engineering Innovation 1, no. 1 (2023): 29–36. http://dx.doi.org/10.54254/2977-3903/1/2023006.

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Анотація:

As an important branch of artificial intelligence research, Generative Artificial Intelligence (GAI) mainly refers to artificial intelligence technology in which algorithms produce results under the given input data conditions. Generative artificial intelligence is one of the most active research directions in the field of artificial intelligence. Generative artificial intelligence has brought new technology innovation and content production mode. This paper discusses the new opportunities and challenges that generative artificial intelligence brings to the media industry from the aspects of t

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31

Liu, Yitong. "Implications of generative artificial intelligence for the development of the media industry." Advances in Engineering Innovation 1, no. 1 (2023): 29–36. http://dx.doi.org/10.54254//1/2023006.

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Анотація:

As an important branch of artificial intelligence research, Generative Artificial Intelligence (GAI) mainly refers to artificial intelligence technology in which algorithms produce results under the given input data conditions. Generative artificial intelligence is one of the most active research directions in the field of artificial intelligence. Generative artificial intelligence has brought new technology innovation and content production mode. This paper discusses the new opportunities and challenges that generative artificial intelligence brings to the media industry from the aspects of t

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32

Zhang, Chao Zhu, Ahmed Kareem Abdullah, and Ali Abdullabs Abdullah. "Electroencephalogram-Artifact Extraction Enhancement Based on Artificial Intelligence Technique." Journal of Biomimetics, Biomaterials and Biomedical Engineering 27 (May 2016): 77–91. http://dx.doi.org/10.4028/www.scientific.net/jbbbe.27.77.

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Blind source separation (BSS) is an important technique used to recover isolated independent sources signals from mixtures. This paper proposes two blind artificial intelligent separation algorithms based on hybridization between artificial intelligent techniques with classical blind source separation algorithms to enhance the separation process. Speedy genetic algorithm SGA directly guesses the optimal coefficients of the separating matrix based on candidate initial from classical BSS algorithms also the separation criteria based on minimization of mutual information between the separating in

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33

Ene, Princewill Chigozie. "Fingerprint and Face Recognition System using A Feed-Forward Artificial Neural Network Paradigm." International Journal of Innovative Science and Research Technology 7, no. 8 (2022): 1004–15. https://doi.org/10.5281/zenodo.7055795.

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Анотація:

This research presents the development of intelligent techniques for fingerprint and faces recognition systems. This was achieved following data collection, data acquisition, data processing, artificial intelligence, training, and result presentation. The intelligent technique was modeled using the structural method to develop the algorithm for face and fingerprint verification systems. The algorithms were implemented with Simulink. The result showed that the average Means Squre Error(MSE) for face is 4.7E-05Mu, that for the fingerprint is 2.05E-05; the regression value for face is 0.973 and 0

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34

Geetha, Dr V., Dr C. K. Gomathy, Mr Rajasrivatsan Srinivasan, and Perumalla L. Sai Purna Srinidhi. "SEARCH STRATEGIES IN ARTIFICIAL INTELLIGENCE." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 11 (2023): 1–11. http://dx.doi.org/10.55041/ijsrem27092.

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Анотація:

Search strategies are at the heart of artificial intelligence (AI), serving as the navigational compass that guides AI systems through vast data spaces to discover solutions and make decisions. This article explores the diverse landscape of search strategies in AI, ranging from fundamental algorithms to advanced techniques powered by machine learning. We delve into the core search algorithms, including informed search and stochastic search methods, shedding light on their strengths and applications. Real-world applications, from recommendation systems to autonomous vehicles, demonstrate the pr

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35

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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Анотація:

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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Cuéllar, Mariano-Florentino, and Aziz Z. Huq. "Artificially Intelligent Regulation." Daedalus 151, no. 2 (2022): 335–47. http://dx.doi.org/10.1162/daed_a_01920.

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Abstract This essay maps the potential, and risks, of artificially intelligent regulation: regulatory arrangements that use a complex computational algorithm or another artificial agent either to define a legal norm or to guide its implementation. The ubiquity of AI systems in modern organizations all but guarantees that regulators or the parties they regulate will make use of learning algorithms or novel techniques to analyze data in the process of defining, implementing, or complying with regulatory requirements. We offer an account of the possible benefits and harms of artificially intellig

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Cuéllar, Mariano-Florentino, and Aziz Z. Huq. "Artificially Intelligent Regulation." Daedalus 151, no. 2 (2022): 335–47. http://dx.doi.org/10.1162/daed_a_01920.

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Анотація:

Abstract This essay maps the potential, and risks, of artificially intelligent regulation: regulatory arrangements that use a complex computational algorithm or another artificial agent either to define a legal norm or to guide its implementation. The ubiquity of AI systems in modern organizations all but guarantees that regulators or the parties they regulate will make use of learning algorithms or novel techniques to analyze data in the process of defining, implementing, or complying with regulatory requirements. We offer an account of the possible benefits and harms of artificially intellig

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38

Eman, Almuhur. "Artificial Intelligence in Mathematics." ISRG Journal of Multidisciplinary Studies (ISRGJMS) II, no. IX (2024): 9–12. https://doi.org/10.5281/zenodo.13673839.

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<strong>Abstract</strong> <em>A significant area of technology that is developing quickly and changing how we interact with computers and systems daily is artificial intelligence (AI). Deep mathematical understanding is required in this discipline to create models and algorithms that let computers carry out challenging cognitive tasks. This paper will examine several topics related to the use of mathematics in artificial intelligence and illustrates the relevance and use of mathematics in artificial intelligence. The fundamental mathematical ideas, such as linear algebra, probability, and stat

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Šumak, Boštjan, Saša Brdnik, and Maja Pušnik. "Sensors and Artificial Intelligence Methods and Algorithms for Human–Computer Intelligent Interaction: A Systematic Mapping Study." Sensors 22, no. 1 (2021): 20. http://dx.doi.org/10.3390/s22010020.

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To equip computers with human communication skills and to enable natural interaction between the computer and a human, intelligent solutions are required based on artificial intelligence (AI) methods, algorithms, and sensor technology. This study aimed at identifying and analyzing the state-of-the-art AI methods and algorithms and sensors technology in existing human–computer intelligent interaction (HCII) research to explore trends in HCII research, categorize existing evidence, and identify potential directions for future research. We conduct a systematic mapping study of the HCII body of re

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40

Chang, Chang, Tingting Zhang, and Shiyu Chen. "Solving the Problem of Pressure Vessel with Constraint Conditions through Marine Predators Algorithm." Modern Economics & Management Forum 6, no. 1 (2025): 125. https://doi.org/10.32629/memf.v6i1.3568.

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With the development of artificial intelligence technology, various intelligent algorithms are becoming more and more mature. Swarm intelligent algorithm performs well among many algorithms. Optimization problems have been permeating into all aspects of life, and solving the condition optimization problem with constraints is a very important aspect. This paper adopts the newly proposed Marine Predators Algorithm in recent years. The original algorithm is improved by adding constraints. Optimization of pressure vessel problem using Marine predator optimization algorithm. The four variables of s

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41

Pandey, Agnivesh, and Rohit Raja. "Smart Skyways: Aerial Traffic Control Using Artificial Intelligence Algorithms." Indian Journal Of Science And Technology 17, no. 31 (2024): 3272–80. http://dx.doi.org/10.17485/ijst/v17i31.836.

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Objectives: This study presents a resilient deep learning method for vehicle detection and classification in traffic aerial images. Methods: The Roboflow dataset used for model training includes 220 aerial images, annotated in YOLOv8 format in four classes of moving objects. Our suggested YOLO version eight-based approach uses real-time photos from Aerial cameras for the training and testing and validation for the classification and detection of moving objects. Findings: YOLOv8, a state-of-the-art object detection algorithm, enhances the accuracy and efficiency of traffic monitoring on the Rob

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42

Patil, Ramakant S., Sharad P. Jadhav, and Machhindranath D. Patil. "Review of Intelligent and Nature-Inspired Algorithms-Based Methods for Tuning PID Controllers in Industrial Applications." Journal of Robotics and Control (JRC) 5, no. 2 (2024): 336–58. https://doi.org/10.18196/jrc.v5i2.20850.

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PID controllers can regulate and stabilize processes in response to changes and disturbances. This paper provides a comprehensive review of PID controller tuning methods for industrial applications, emphasizing intelligent and nature-inspired algorithms. Techniques such as Fuzzy Logic (FL), Artificial Neural Networks (ANN), and Adaptive Neuro Fuzzy Inference System (ANFIS) are explored. Additionally, nature-inspired algorithms, including evolutionary algorithms like Genetic Algorithms (GA), Particle Swarm Optimization (PSO), Differential Evolution (DE), Ant Colony Optimization (ACO), Simulated

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Zang, Chunjian, Shaoyi Guo, and Haoran Wang. "Research on Intelligent Ship Path Planning Method." Scientific Journal of Technology 7, no. 2 (2025): 1–6. https://doi.org/10.54691/da82b115.

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With the rapid development of science and technology, the shipbuilding industry has ushered in an information revolution, and the level of ship intelligence is increasing day by day. Intelligent ships bring new opportunities and challenges to the development of the shipbuilding industry. Intelligent navigation is one of the core technologies that constitute intelligent ships. It achieves autonomous navigation, path optimization, and real-time decision-making for ships by integrating advanced sensors, data processing, and artificial intelligence algorithms, thereby improving navigation efficien

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Zheng, Hexin. "False Vision Graphics in Logo Design Based on Artificial Intelligence in the Visual Paradox Environment." Journal of Environmental and Public Health 2022 (September 13, 2022): 1–9. http://dx.doi.org/10.1155/2022/1832083.

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There are numerous fresh ways of thinking and creativity as a result of the ongoing development of art design. How do you create a fantastic logo that has extraordinary artistic effects? The incorrect interpretation of artistic graphics can cause a special visual phenomenon known as the contradiction between visual images and objective reality, which causes people’s visual systems to produce points of interest. Wrong vision graphics, or visual paradox, can give people a wonderful experience that transcends time and space and reveals the enigmatic beauty that is concealed in the natural order,

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Sharma, Saurabh, Vijay Kumar Gahlawat, Kumar Rahul, Rahul S. Mor, and Mohit Malik. "Sustainable Innovations in the Food Industry through Artificial Intelligence and Big Data Analytics." Logistics 5, no. 4 (2021): 66. http://dx.doi.org/10.3390/logistics5040066.

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The agri-food sector is an endless source of expansion for nourishing a vast population, but there is a considerable need to develop high-standard procedures through intelligent and innovative technologies, such as artificial intelligence (AI) and big data. This paper addresses the research concerning AI and big data analytics in the food industry, including machine learning, artificial neural networks (ANNs), and various algorithms. Logistics, supply chain, marketing, and production patterns are covered along with food sub-sector applications for artificial intelligence techniques. It is foun

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Molchanova, Regina V. "INTELLECTUAL TRANSFORMATION OF PROCESSES AS PART OF THE STRATEGIC DEVELOPMENT OF COMPANIES." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 5/1, no. 158 (2025): 47–54. https://doi.org/10.36871/ek.up.p.r.2025.05.01.006.

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The article considers intelligent transformation as a stage of digital evolution based on the integration of artificial intelligence, machine learning and data analytics into production processes to improve the adaptability and strategic sustainability of business. The transition to management based on cognitive and algorithmic models is revealed, ensuring the autonomous functioning of organizations due to intelligent data processing. The difference between digitalization and intelligent transformation, which creates new management models based on artificial intelligence, is revealed. Intellig

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Syed, Enaab, and Zareena Zulfiqar. "Artificial Intelligence and its Role in Advancement of Health Informatics." Qlantic Journal of Social Sciences and Humanities 1, no. 2 (2020): 1–8. http://dx.doi.org/10.55737/qjssh.919673681.

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Artificial intelligence overall is an emerging phenomenon. With every evolving age of technology, its use and requirement will change accordingly. Artificial Intelligence, as the name indicates, is two different entities that, in literal meaning, describe the artificially added intelligence. How can we determine if AI systems are biased as a consequence of test datasets or hidden algorithms? Artificial intelligence (AI) in medicine became popular in the 1970s. Norwig and Russell write focusing on the rational agent that acts to get the best outcome. (Russel and Norwig 4) Intelligent robots are

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Li, ZhuoJun. "Accurate Digital Marketing Communication Based on Intelligent Data Analysis." Scientific Programming 2022 (January 4, 2022): 1–10. http://dx.doi.org/10.1155/2022/8294891.

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In digital marketing, the core advantages of scientific and technological means such as artificial intelligence and big data analysis gradually appear and pay attention to them. This paper studies the accuracy of digital marketing and proposes an intelligent algorithm based on data analysis, which improves the effect of marketing communication. Through the combination of intelligent algorithms and big data analysis, the data are convincing. Through the comparison and improvement of intelligent algorithm logistic regression and XGBoost, this paper puts forward an improved algorithm of XGBoost b

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PERLIN, MARK W. "VISUALIZING DYNAMIC ARTIFICIAL INTELLIGENCE ALGORITHMS AND APPLICATIONS." International Journal on Artificial Intelligence Tools 03, no. 02 (1994): 289–307. http://dx.doi.org/10.1142/s0218213094000145.

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Visualization is an important component of modern computing. By animating the course of an algorithm’s temporal execution, many key features can be elucidated. We have developed a general framework, termed Call-Graph Caching (CGC), for automating the construction of many complex AI algorithms. By incorporating visualization into CGC interpreters, principled animations can be automatically displayed as AI computations unfold. (1) Systems that support the automatic animation of AI algorithms must address these three design issues: (2) How to represent AI data structures in a general, uniform way

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Et. al., Vijaya Bhaskar K,. "Modern Swarm Intelligence based Algorithms for Solving Optimal Power Flow Problem in a Regulated Power System Framework." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 2 (2021): 1786–93. http://dx.doi.org/10.17762/turcomat.v12i2.1515.

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This paper presents artificial swarm intelligent based algorithms viz., Firefly Algorithm (FFA), Dragonfly Algorithm (DA) and Moth Swarm Algorithm (MSA) to take care of the issues related to optimal power flow (OPF) problem in a power system network. The optimal values of various decision variables obtained by swarm intelligent based algorithms can optimize various objective function of OPF problem. This article is focused with four objectives such as minimization of total fuel cost (TFC) and total active power loss (TAPL); improvisation of total voltage profile (TVD) and voltage stability ind

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