Relevant bibliographies by topics / Artificial intelligent methods

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Artificial intelligent methods'

Author: Grafiati
Published: 4 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Artificial intelligent methods"

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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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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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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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Dissertations / Theses on the topic "Artificial intelligent methods"

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Abdullah, Rudwan Ali Abolgasim. "Intelligent methods for complex systems control engineering." Thesis, University of Stirling, 2007. http://hdl.handle.net/1893/257.

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This thesis proposes an intelligent multiple-controller framework for complex systems that incorporates a fuzzy logic based switching and tuning supervisor along with a neural network based generalized learning model (GLM). The framework is designed for adaptive control of both Single-Input Single-Output (SISO) and Multi-Input Multi-Output (MIMO) complex systems. The proposed methodology provides the designer with an automated choice of using either: a conventional Proportional-Integral-Derivative (PID) controller, or a PID structure based (simultaneous) Pole and Zero Placement controller. The
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He, Yuesheng. "The intelligent behavior of 3D graphical avatars based on machine learning methods." HKBU Institutional Repository, 2012. https://repository.hkbu.edu.hk/etd_ra/1404.

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Wong, Kam Cheung. "Intelligent methods of power system components monitoring by artificial neural networks and optimisation using evolutionary computing techniques." Thesis, University of Sunderland, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.285580.

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Kaygisiz, Huseyin Burak. "Intelligent Methods For Dynamic Analysis And Navigation Of Autonomous Land Vehicles." Phd thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/2/12605112/index.pdf.

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Autonomous land vehicles (ALVs) have received considerable attention after their introduction into military and commercial applications. ALVs still stand as a challenging research topic. One of the main problems arising in ALV operations is the navigation accuracy while the other is the dynamic effects of road irregularities which may prevent the vehicle and its cargo to function properly. In this thesis, we propose intelligent solutions to these two basic problems of ALV. First, an intelligent method is proposed to enhance the performance of a coupled global positioning/inertial navigation sy
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McBrien, Andrew. "Artificial intelligence methods in process plant layout." Thesis, University of Nottingham, 1994. http://eprints.nottingham.ac.uk/14403/.

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The thesis describes "Plant Layout System" or PLS, an Expert System which automates all aspects of conceptual layout of chemical process plant, from sizing equipment using process data to deriving the equipment items' elevation and plan positions. PLS has been applied to a test process of typical size and complexity and which encompasses a wide range of layout issues and problems. The thesis presents the results of the tests to show that PLS generates layouts that are entirely satisfactory and conventional from an engineering viewpoint. The major advance made during this work is the approach t
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Melandri, Luca. "Introduction to Reservoir Computing Methods." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amslaurea.unibo.it/8268/.

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Il documento tratta la famiglia di metodologie di allenamento e sfruttamento delle reti neurali ricorrenti nota sotto il nome di Reservoir Computing. Viene affrontata un'introduzione sul Machine Learning in generale per fornire tutti gli strumenti necessari a comprendere l'argomento. Successivamente, vengono dati dettagli implementativi ed analisi dei vantaggi e punti deboli dei vari approcci, il tutto con supporto di codice ed immagini esplicative. Nel finale vengono tratte conclusioni sugli approcci, su quanto migliorabile e sulle applicazioni pratiche.
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Pearson, Kyle A., Leon Palafox, and Caitlin A. Griffith. "Searching for exoplanets using artificial intelligence." OXFORD UNIV PRESS, 2018. http://hdl.handle.net/10150/627143.

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In the last decade, over a million stars were monitored to detect transiting planets. Manual interpretation of potential exoplanet candidates is labour intensive and subject to human error, the results of which are difficult to quantify. Here we present a new method of detecting exoplanet candidates in large planetary search projects that, unlike current methods, uses a neural network. Neural networks, also called 'deep learning' or 'deep nets', are designed to give a computer perception into a specific problem by training it to recognize patterns. Unlike past transit detection algorithms, dee
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Silveira, Fabio Sebastian. "Escabilidade do problema de geração de estruturas de coalizão: aplicação de um algoritmo baseado em detecção de comunidades a grafos reais." Universidade Tecnológica Federal do Paraná, 2017. http://repositorio.utfpr.edu.br/jspui/handle/1/2711.

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Este estudo apresenta resultados experimentais sobre a escalabilidade da formação de estruturas de coalizão para grafos reais que passam de 5 mil vértices. Um algoritmo heurístico simples denominado Algoritmo de Propagação para Formação de Estrutura de Coalizão (APFEC) com garantias experimentais é apresentado e sondado, com base em uma versão de propagação balanceada de rótulos para detecção de comunidades em grafos muito grandes. Os limites da proposta são avaliados, comparando-o com o estado-da-arte em relação aos algoritmos exatos (ODP-IP - A junção do algoritmo IP, baseado em representaçã
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Eminoglu, Ilyas. "Computational intelligence methods : generic interpretations, optimisation and application." Thesis, University of Sheffield, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.289703.

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Eggerl, Anja. "Optimization of combine processes using expert knowledge and methods of artificial intelligence." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2018. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-230087.

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Combine harvesters are used to gather plants from the field and separate them into the components of value, the grain and the straw. The optimal utilization of existing combine potential is an inevitable task to maximize harvest efficiency and hence to maximize profit. The only way to optimize the threshing and separation processes during harvest is to adjust the combine settings to existing conditions. Operating permanently at optimal harvest efficiency can only be achieved by an automatic control system. However, for reasons of transparency and due to lack of sensors, the approach in this th
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Books on the topic "Artificial intelligent methods"

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Silhavy, Radek, ed. Artificial Intelligence Methods in Intelligent Algorithms. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19810-7.

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Andreychikov, Aleksandr, and Ol'ga Andreychikova. Intelligent information systems and artificial intelligence methods. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1009595.

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The textbook discusses the methods of artificial intelligence and their application to solve problems from various subject areas. Methods of acquisition, representation and processing of knowledge in intelligent systems, as well as technologies for designing and implementing intelligent systems, are described. Special attention is paid to the application of intelligent systems for the selection of collective solutions, the design of complex systems( objects), the analysis and forecasting of the enterprise. Meets the requirements of the federal state educational standards of higher education of
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Verstraete, Jörg. Artificial Intelligent Methods for Handling Spatial Data. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-00238-1.

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García Márquez, Fausto Pedro, ed. International Conference on Intelligent Emerging Methods of Artificial Intelligence & Cloud Computing. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92905-3.

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M, Cartwright Hugh, ed. Intelligent data analysis in science. Oxford University Press, 2000.

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Kasabov, Nikola. Evolving connectionist systems: Methods and applications in bioinformatics, brain study and intelligent machines. Springer, 2003.

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Hatzilygeroudis, Ioannis. Combinations of Intelligent Methods and Applications: Proceedings of the 2nd International Workshop, CIMA 2010, France, October 2010. Springer Berlin Heidelberg, 2011.

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Hatzilygeroudis, Ioannis. Combinations of Intelligent Methods and Applications: Proceedings of the 3rd International Workshop, CIMA 2012, Montpellier, France, August 2012. Springer Berlin Heidelberg, 2013.

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Paul, Casasent David, Society of Photo-optical Instrumentation Engineers., and Symposium on Advances in Intelligent Robotic Systems (1991 : Boston, Mass.), eds. Intelligent robots and computer vision X: Neural, biological, and 3-D methods : 14-15 November 1991, Boston, Massachusetts. SPIE, 1992.

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Shukla, Anupam. Intelligent medical technologies and biomedical engineering: Tools and applications. Medical Information Science Reference, 2010.

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Book chapters on the topic "Artificial intelligent methods"

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Artiba, A., V. V. Emelyanov, and S. I. Iassinovski. "Artificial Intelligence Methods." In Introduction to Intelligent Simulation: The RAO Language. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5709-8_4.

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Faria, Brígida Mónica, Luís Miguel Ferreira, Luís Paulo Reis, Nuno Lau, and Marcelo Petry. "Intelligent Wheelchair Manual Control Methods." In Progress in Artificial Intelligence. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40669-0_24.

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Chen, Degen. "Research Methods of Artificial Intelligence." In Advances in Intelligent Systems and Computing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0238-5_64.

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Zhu, Di, and Guofeng Cao. "Intelligent Spatial Prediction and Interpolation Methods." In Handbook of Geospatial Artificial Intelligence. CRC Press, 2023. http://dx.doi.org/10.1201/9781003308423-7.

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Andrikos, Christos, Ilias Maglogiannis, Efthymios Bilalis, George Spyroglou, and Panayiotis Tsanakas. "An Intelligent Platform for Hosting Medical Collaborative Services." In Artificial Intelligence: Methods and Applications. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07064-3_28.

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Avrithis, Yannis, Giorgos Stamou, Anastasios Delopoulos, and Stefanos Kollias. "Intelligent Semantic Access to Audiovisual Content." In Methods and Applications of Artificial Intelligence. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-46014-4_20.

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Lendel, Viliam, Lucia Pancikova, and Lukas Falat. "Advanced Predictive Methods of Artificial Intelligence in Intelligent Transport Systems." In Data Mining and Big Data. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40973-3_16.

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Yang, Yi, Jiasong Sun, and Lu Huang. "Artificial Intelligence Teaching Methods in Higher Education." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-29516-5_78.

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Fernández, Benito R. "Performance analysis of artificial neural network methods." In Artificial Neural Networks for Intelligent Manufacturing. Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-0713-6_12.

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Alonso, Fernando, Jose Maria Barreiro, Juan Pedro Caraca-Valente, and Cesar Montes. "Intelligent interpretation of strength data." In Tasks and Methods in Applied Artificial Intelligence. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/3-540-64574-8_456.

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Conference papers on the topic "Artificial intelligent methods"

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Parameshwara, Praveen Kuruvangi, and Shilpa Gupta. "Intelligent Automation of SFO Crime Prediction using Multiple Artificial Intelligence Methods." In 2024 IEEE 15th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON). IEEE, 2024. http://dx.doi.org/10.1109/uemcon62879.2024.10754733.

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Zhang, Yun, Haozhe Zhan, Jun Zhang, et al. "Research on Quantitative Evaluation Methods for Artificial Intelligence in Electric Power." In 2024 4th International Conference on Intelligent Power and Systems (ICIPS). IEEE, 2024. https://doi.org/10.1109/icips64173.2024.10900333.

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Wang, Han. "Energy Efficiency Evaluation and Optimization Methods in Electric Transportation Systems." In 2024 6th International Conference on Robotics, Intelligent Control and Artificial Intelligence (RICAI). IEEE, 2024. https://doi.org/10.1109/ricai64321.2024.10911693.

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Fan, Haoyu, Guowei Zhang, Youtao Zhou, Jinwen Hu, Yuntao Xiao, and Shimian Zhang. "A Comparative Study of Environmental Perception and Object Recognition Methods for Robots." In 2024 3rd International Conference on Robotics, Artificial Intelligence and Intelligent Control (RAIIC). IEEE, 2024. http://dx.doi.org/10.1109/raiic61787.2024.10671088.

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Kang, Zigui, Tao Li, and Xiaofei Fan. "Robust Control Methods for Vehicle Trajectory Tracking Amid Multi-Channel Network Attacks." In 2024 6th International Conference on Robotics, Intelligent Control and Artificial Intelligence (RICAI). IEEE, 2024. https://doi.org/10.1109/ricai64321.2024.10911808.

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Yang, Cheng, Chengyu Li, and Yongfeng Zhu. "Intelligent SAR Target Recognition Technologies for High Dynamic Aerial Platforms : Methods, Challenges, and Future Directions." In 2024 4th International Symposium on Artificial Intelligence and Intelligent Manufacturing (AIIM). IEEE, 2024. https://doi.org/10.1109/aiim64537.2024.10934281.

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Zhang, Jingchu, Mingkai Yue, and Cong Zhang. "Exploration of intelligent prediction methods for damage effect based on parameters of liner." In International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2024), edited by Liang Hu. SPIE, 2025. https://doi.org/10.1117/12.3065198.

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Xu, Chen, and Yue-Lei Xie. "Towards intelligent communication: machine learning methods for ACARS signal recognition." In 2024 IEEE/ACIS 27th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD). IEEE, 2024. http://dx.doi.org/10.1109/snpd61259.2024.10673925.

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Dong, Bin, Xi Zhao, Zhirong Fan, and Yanbo Cai. "Research on Lightweight Encryption Methods for In-Vehicle Ethernet in Intelligent Automobiles." In 2024 6th International Conference on Internet of Things, Automation and Artificial Intelligence (IoTAAI). IEEE, 2024. http://dx.doi.org/10.1109/iotaai62601.2024.10692831.

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R, Sridevi, Helen K. Joy, Karthikeyan K. J, Gopika S. S, Neha Seirah Biju, and Shriniha PA. "Employing Artificial Intelligence Methods for the Diagnosis of Autism Spectrum Disorder in Children." In 2024 International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS). IEEE, 2024. https://doi.org/10.1109/icicnis64247.2024.10823377.

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Reports on the topic "Artificial intelligent methods"

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Rodin, Ervin Y. Artificial Intelligence Methods in Pursuit Evasion Differential Games. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada227366.

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Aksoy, Sinan, Bo Fang, Roberto Gioiosa, et al. Unifying Combinatorial and Graphical Methods in Artificial Intelligence. Office of Scientific and Technical Information (OSTI), 2024. http://dx.doi.org/10.2172/2476689.

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Given, Mott. Advanced Methods of Online Searching for Artificial Intelligence Information. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada236653.

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Pasupuleti, Murali Krishna. Neural Computation and Learning Theory: Expressivity, Dynamics, and Biologically Inspired AI. National Education Services, 2025. https://doi.org/10.62311/nesx/rriv425.

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Abstract: Neural computation and learning theory provide the foundational principles for understanding how artificial and biological neural networks encode, process, and learn from data. This research explores expressivity, computational dynamics, and biologically inspired AI, focusing on theoretical expressivity limits, infinite-width neural networks, recurrent and spiking neural networks, attractor models, and synaptic plasticity. The study investigates mathematical models of function approximation, kernel methods, dynamical systems, and stability properties to assess the generalization capa
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Pozzi, S., and F. J. Segovia. Application of stochastic and artificial intelligence methods for nuclear material identification. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/750980.

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Tarozzi, Martina Elena. Next Generation Sequencing Technologies, Bioinformatics and Artificial Intelligence: A Shared Time-line. MZB Standard Enterprise, 2024. http://dx.doi.org/10.57098/scirevs.biology.3.2.2.

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This review provides a comprehensive overview of the fast-paced and intertwined evolution of three pivotal fields: next-generation sequencing (NGS) technologies, bioinformatics, and artificial intelligence (AI). The paper begins by tracing the development of sequencing technologies and highlights how advancements in genetic sequencing have led to an explosion of biological data, necessitating the rise of bioinformatics for data management and analysis. The review next covers the primary steps and methods used in bioinformatic analysis and concludes by reporting some of the technical and biolog
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Mazari, Mehran, Yahaira Nava-Gonzalez, Ly Jacky Nhiayi, and Mohamad Saleh. Smart Highway Construction Site Monitoring Using Artificial Intelligence. Mineta Transportation Institute, 2025. https://doi.org/10.31979/mti.2025.2336.

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Construction is a large sector of the economy and plays a significant role in creating economic growth and national development,and construction of transportation infrastructure is critical. This project developed a method to detect, classify, monitor, and track objects during the construction, maintenance, and rehabilitation of transportation infrastructure by using artificial intelligence and a deep learning approach. This study evaluated the performance of AI and deep learning algorithms to compare their performance in detecting and classifying the equipment in various construction scenes.
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Klaus, Manuel, and Simon Gorin. SNSF Datastory - How much of SNSF-funded research is related to artificial intelligence? Swiss National Science Foundation, 2025. https://doi.org/10.46446/datastory.ai-related-grants.

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SNSF-funded research related to AI increased significantly between 2011 and 2024. By applying an approach using key terms to identify AI-related grants, we could illustrate the methods preferred by the different research domains.
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Cerulli, Giovanni. Machine Learning and AI for Research in Python. Instats Inc., 2023. http://dx.doi.org/10.61700/b7qz5fpva9dar469.

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This seminar is an introduction to Machine Learning and Artificial Intelligence methods for the social, economic, and health sciences using Python. After introducing the subject, the seminar will cover the following methods: (i) model selection and regularization (Lasso, Ridge, Elastic-net); (ii) discriminant analysis and nearest-neighbor classification; and (iii) artificial neural networks. The course will offer various instructional examples using real datasets in Python. An Instats certificate of completion is provided at the end of the seminar, and 2 ECTS equivalent points are offered.
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Cerulli, Giovanni. Machine Learning and AI for Research in Python. Instats Inc., 2023. http://dx.doi.org/10.61700/x92cmhdrxsvu7469.

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Abstract:
This seminar is an introduction to Machine Learning and Artificial Intelligence methods for the social, economic, and health sciences using Python. After introducing the subject, the seminar will cover the following methods: (i) model selection and regularization (Lasso, Ridge, Elastic-net); (ii) discriminant analysis and nearest-neighbor classification; and (iii) artificial neural networks. The course will offer various instructional examples using real datasets in Python. An Instats certificate of completion is provided at the end of the seminar, and 2 ECTS equivalent points are offered.
APA, Harvard, Vancouver, ISO, and other styles
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