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Journal articles on the topic 'RFL computer-based training system'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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1

Boguslavskaya, Vera V., Ekaterina A. Budnik, Aleksandr S. Mamontov, and Thi Kim Ngoc Trinh. "Nationally oriented lexicography and RFL training." Voprosy leksikografii, no. 24 (2022): 5–29. http://dx.doi.org/10.17223/22274200/24/1.

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The article presents the description and comprehension of the experience of developments in the field of linguistic and regional studies and nationally oriented educational lexicography. The latter is based on the ideas of nationally oriented education and associated with the creation of a linguo-cultural dictionary for citizens of Vietnam who study Russian as a foreign language. Today’s reality is considered to be largely aimed at purely applied aspects of knowledge, including in teaching foreign languages and, in particular, Russian as a foreign language (RFL). In this regard, dictionaries a

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Farysenkova, Lyubov V., and Elnura I. Zhellali. "Forming a methodical thesaurus of a foreign author of a manual on Russian as a foreign language." Russian Language Studies 18, no. 4 (2020): 422–38. http://dx.doi.org/10.22363/2618-8163-2020-18-4-422-438.

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The article aims at investigating the specifics of the modern practice of training foreign authors of Russian as a foreign language (RFL) textbooks and identifying the prospects for the formation of a professional thesaurus of this group on the basis of modern educational technologies. This issue is really relevant, since, as it is shown in the article, there are currently almost no methodological studies and manuals addressed to this group of trainees. At the same time, practice shows that foreign colleagues are in urgent need of diverse methodological support from Russian methodologists. The

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Chistova, E. V., T. K. Verenich, and E. V. Eremina. "MOODLE-BASED ONLINE COURSE ON TRAINING RUSSIAN AS A FOREIGN LANGUAGE: PECULIARITY OF INSTRUCTIONAL DESIGN." Vektor nauki Tol'yattinskogo gosudarstvennogo universiteta. Seriya Pedagogika i psihologiya, no. 2 (2021): 29–35. http://dx.doi.org/10.18323/2221-5662-2021-2-29-35.

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Due to the proliferation of advanced information technologies and overall digitalization in the post-Covid period, the education system is currently subjected to drastic changes, which in their turn predetermine a new area of theoretical and practical research investigating the issues of distance learning similarly referred to as online learning, e-learning, Web-based training. The present paper reveals the role of digital pedagogy in the modern educational process, evaluates the effectiveness of the most popular learning platform in Russia – the learning management system – Moodle. The brief

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Ши, А. В. "TEACHING RUSSIAN AS A FOREIGN LANGUAGE TO STUDENTS THROUGH THE PRISM OF CHINESE MENTALITY." Журнал "Вестник Челябинского государственного педагогического университета", no. 3(181) (September 27, 2024): 235–51. http://dx.doi.org/10.25588/cspu.2024.181.3.011.

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Введение. В статье рассматривают особенности обучения русскому языку как иностранному (РКИ) через призму китайского национального характера и менталитета в XXI веке. Показаны различия как в системе образования, так и в методике преподавания обучения русскому языку в России и в Китае. Акцентируется внимание на том, что обучение русскому языку как иностранного в российских вузах преподавателям необходимо не только владеть знаниями по своему учебному предмету, но понимать культурные и национальные особенности обучающихся из Китая. Материалы и методы. Основными методами исследования явились метод

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Yun, Lyudmila Gienovna. "System of exercises for teaching general knowledge of Russian language and specialty language to Chinese engineering students." Samara Journal of Science 8, no. 1 (2019): 322–30. http://dx.doi.org/10.17816/snv201981319.

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The paper deals with the problem of optimizing the language training process for Chinese engineering students in the framework of joint Sino-Russian programs. The existing curricula on the Russian language as a foreign language (RFL) used to train future engineers have several disadvantages, and therefore do not provide a high level of subject and language competences. This is primarily due to weak contacts between teachers of special disciplines and teachers of the Russian language, the lack of coordination of teaching methods used by Russian and Chinese teachers of Russian. Features of train

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Zahraei, Seyed Hassan, and Maria Yu Sidorova. "Authorization as the Problem of the Choice of Case: System of Russian Syntax and the Problems of Teaching RFL." Proceedings of Southern Federal University. Philology 2020, no. 1 (2020): 198–206. http://dx.doi.org/10.18522/1995-0640-2020-1-198-206.

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One of the critical and difficult moments in the development of the Russian language by foreigners is the transfer of subjective meanings. The existing terminological and methodological difficulties in studying this issue do not remove the need to teach in the course of Russian language for foreigners means of expressing subjective meanings. The problem is aggravated by the discrepancies between the description of these means in the grammars of the Russian language, including the academic one and the actual functioning. This is most clearly manifested in the functioning of variable preposition

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I., V. Zhukovyts'kyy, M. Pakhomova V., O. Ostapets D., and I. Tsyhanok O. "DETECTION OF ATTACKS ON A COMPUTER NETWORK BASED ON THE USE OF NEURAL NETWORKS COMPLEX." Science and Transport Progress. Bulletin of Dnipropetrovsk National University of Railway Transport, no. 5(89) (July 7, 2020): 68–79. https://doi.org/10.15802/stp2020/218318.

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<strong>Purpose.</strong> The article is aimed at the development of a methodology for detecting attacks on a computer network. To achieve this goal the following tasks were solved: to develop a methodology for detecting attacks on a computer network based on an ensemble of neural networks using normalized data from the open KDD Cup 99 database; when performing machine training to identify the optimal parameters of the neural network which will provide a sufficiently high level of reliability of detection of intrusions into the computer network. <strong>Methodology.</strong> As

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Ignatovitch, Tatiana V. "Teaching Russian as a Foreign Language with the Use of LearningApps Service." Russian Language Studies 19, no. 1 (2021): 51–65. http://dx.doi.org/10.22363/2618-8163-2021-19-1-51-65.

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The article describes the experience of using applications of the LearningApps service in the practice of teaching Russian as a foreign language (hereinafter - RFL) to students of the Institute of International Education, Henan University of Science and Technology in the 2018-2020 academic years. The relevance of the topic is due to the lack of a comprehensive description of the potential of the LearningApps service simulators in traditional and distance teaching of foreigners. The purpose of the article is to show the possibilities of LearningApps service simulators as an accompanying electro

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Jingyuan Fan, Jingyuan Fan, Guiqin Yang Jingyuan Fan, and Jiyang Gai Guiqin Yang. "DDoS Attack Detection System Based on RF-SVM-IL Model Under SDN." 電腦學刊 32, no. 5 (2021): 031–43. http://dx.doi.org/10.53106/199115992021103205003.

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The data forwarding plane in the Software Defined Network (SDN) is decoupled from the network control plane, which can realize the unified control of the whole network by the controller. Although centralize control provide great convenient in many cases, it is vulnerable to malicious attacks, especially for one of the most threatening attack - Distributed Denial of Service (DDoS). We innovatively propose a machine learning hybrid DDoS attack detection model which provide high precision within short-term. We named our model as RF-SVM-IL, which represents an integration of integrates Random Fore

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Kuznetsov, Andrey Andreevich. "New type of learning environment based on a cross-platform learning model: methodology and testing." Moscow University Pedagogical Education Bulletin, no. 1 (March 30, 2021): 57–75. http://dx.doi.org/10.51314/2073-2635-2021-1-57-75.

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The author presents a multi-component practical study of a new type of electronic educational environment on the example of the author’s cross-platform project Langteach-online, aimed at teaching foreign students Russian. A new type of elearning environment will allow you to create online courses without the use of Western learning management systems, such as LMS Moodle, Schoology, and others with the integration of mobile devices that are trained in the learning process in mixed and distance formats. The methodology of this study will allow creating multidisciplinary online courses for teache

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Avdeyeva, Irina Borisovna, and Nadezhda Vladimirovna Krasnokutskaya. "Cognitive styles in methodology of Russian as a foreign language." SHS Web of Conferences 127 (2021): 02014. http://dx.doi.org/10.1051/shsconf/202112702014.

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This article attempts to consider the types of cognitive activity of students in the process of learning foreign languages, including Russian as a foreign language. It contains a synthesis on this topic and practical results of the material implementation developed with the consideration of linguo-cognitive styles of students. Special attention is paid to the analytical cognitive style that is inherent in the students of technical fields. Considering the features of the linguo-cognitive picture of students with a predominantly analytical cognitive style, the authors conclude that these feature

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Wang, Zhongxiao. "Evaluation Method of the Influence of Sports Training on Physical Index Based on Deep Learning." Security and Communication Networks 2021 (September 29, 2021): 1–8. http://dx.doi.org/10.1155/2021/6924262.

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With the rapid development of deep learning, computer vision has also become a rapidly developing field in the field of artificial intelligence. Combining the physical training of deep learning will bring good practical value. Physical training has different effects on people’s body shape, physical function, and physical quality. It is mainly reflected in the changes of relevant physical indicators after physical training. Therefore, the purpose of this article is to study the method of evaluating the impact of sports training on physical indicators based on deep learning. This paper mainly us

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Alahmed, Shahad, Qutaiba Alasad, Maytham M. Hammood, Jiann-Shiun Yuan, and Mohammed Alawad. "Mitigation of Black-Box Attacks on Intrusion Detection Systems-Based ML." Computers 11, no. 7 (2022): 115. http://dx.doi.org/10.3390/computers11070115.

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Intrusion detection systems (IDS) are a very vital part of network security, as they can be used to protect the network from illegal intrusions and communications. To detect malicious network traffic, several IDS based on machine learning (ML) methods have been developed in the literature. Machine learning models, on the other hand, have recently been proved to be effective, since they are vulnerable to adversarial perturbations, which allows the opponent to crash the system while performing network queries. This motivated us to present a defensive model that uses adversarial training based on

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Kohrt, Brieanne K., Tory M. Lincoln, and Artemio D. Brambila. "Embedding DBT Skills Training Within a Transactional-Ecological Framework to Reduce Suicidality in a Navajo Adolescent Female." Clinical Case Studies 16, no. 1 (2016): 76–92. http://dx.doi.org/10.1177/1534650116668271.

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American Indian/Alaska Native (AI/AN) youth have higher rates of suicidality than any other ethnic or cultural group in the United States. Dialectical behavior therapy (DBT) is an evidence-based treatment that has been found to reduce suicidality in adolescents, but there is little literature speaking to its efficacy with the AI/AN population. The transactional-ecological model of suicidality helps identify protective factors that can be bolstered at the individual, familial, community, and spiritual levels to reduce suicidality and suicidal contagion in AI/AN youth. The current study examines

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Taniguchi, Koutaro, and Yong Yu. "Evaluation of Short-Term Clinical Effects of a Novel Repetitive Facilitation Exercise Training Program Using a Hemiplegic Elbow Extension Rehabilitation System." Machines 12, no. 2 (2024): 85. http://dx.doi.org/10.3390/machines12020085.

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Repetitive Facilitation Exercise (RFE) is known as an effective rehabilitation method that can elicit brain plasticity. In our previous study, we developed a hemiplegic upper limb rehabilitation system that can train the elbow and shoulder based on RFE theory. The system consists of a selective Arm-DoF constrainable mechanism and a multiple facilitative stimulus timing and duration control system. The selective Arm-DoF constrainable mechanism has three DoF, making it possible to selectively restrict a DoF of the shoulder or elbow. The multiple facilitative stimulation timing and duration contr

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Dr Mekala R, Balachandar S, and Dr Chinnaiyan R. "Machine learning approaches for optimal prediction of liver fibrosis cruelty." South Asian Journal of Engineering and Technology 12, no. 1 (2022): 132–41. http://dx.doi.org/10.26524/sajet.2022.12.20.

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   Noninvasive assessment of severity of liver fibrosis is crucial for understanding histology and making decisions on antiviral treatment for chronic HBV in view of the associated risks of biopsy. aimed to develop a computer-assisted assessment system for the evaluation of liver disease severity by using machine leaning classifier based on physical-layer with serum markers. The retrospective data set, including 920 patients, was used to establish Decision Tree classifier (DTC), Random Forest Classifier (RFC), Logistic Regression Classifier (LRC), and Support Vector Classifie

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Barkah, Azhari Shouni, Siti Rahayu Selamat, Zaheera Zainal Abidin, and Rizki Wahyudi. "Impact of Data Balancing and Feature Selection on Machine Learning-based Network Intrusion Detection." JOIV : International Journal on Informatics Visualization 7, no. 1 (2023): 241. http://dx.doi.org/10.30630/joiv.7.1.1041.

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Unbalanced datasets are a common problem in supervised machine learning. It leads to a deeper understanding of the majority of classes in machine learning. Therefore, the machine learning model is more effective at recognizing the majority classes than the minority classes. Naturally, imbalanced data, such as disease data and data networking, has emerged in real life. DDOS is one of the network intrusions found to happen more often than R2L. There is an imbalance in the composition of network attacks in Intrusion Detection System (IDS) public datasets such as NSL-KDD and UNSW-NB15. Besides, re

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Alzahrani, Abdulsalam O., and Mohammed J. F. Alenazi. "Designing a Network Intrusion Detection System Based on Machine Learning for Software Defined Networks." Future Internet 13, no. 5 (2021): 111. http://dx.doi.org/10.3390/fi13050111.

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Software-defined Networking (SDN) has recently developed and been put forward as a promising and encouraging solution for future internet architecture. Managed, the centralized and controlled network has become more flexible and visible using SDN. On the other hand, these advantages bring us a more vulnerable environment and dangerous threats, causing network breakdowns, systems paralysis, online banking frauds and robberies. These issues have a significantly destructive impact on organizations, companies or even economies. Accuracy, high performance and real-time systems are essential to achi

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Wang, Zhao, Yifan Hu, Shiyang Yan, Zhihao Wang, Ruijie Hou, and Chao Wu. "Efficient Ring-Topology Decentralized Federated Learning with Deep Generative Models for Medical Data in eHealthcare Systems." Electronics 11, no. 10 (2022): 1548. http://dx.doi.org/10.3390/electronics11101548.

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By leveraging deep learning technologies, data-driven-based approaches have reached great success with the rapid increase of data generated for medical applications. However, security and privacy concerns are obstacles for data providers in many sensitive data-driven scenarios, such as rehabilitation and 24 h on-the-go healthcare services. Although many federated learning (FL) approaches have been proposed with DNNs for medical applications, these works still suffer from low usability of data due to data incompleteness, low quality, insufficient quantity, sensitivity, etc. Therefore, we propos

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Karras, Aristeidis, Anastasios Giannaros, Leonidas Theodorakopoulos, et al. "FLIBD: A Federated Learning-Based IoT Big Data Management Approach for Privacy-Preserving over Apache Spark with FATE." Electronics 12, no. 22 (2023): 4633. http://dx.doi.org/10.3390/electronics12224633.

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In this study, we introduce FLIBD, a novel strategy for managing Internet of Things (IoT) Big Data, intricately designed to ensure privacy preservation across extensive system networks. By utilising Federated Learning (FL), Apache Spark, and Federated AI Technology Enabler (FATE), we skilfully investigated the complicated area of IoT data management while simultaneously reinforcing privacy across broad network configurations. Our FLIBD architecture was thoughtfully designed to safeguard data and model privacy through a synergistic integration of distributed model training and secure model cons

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Dequidt, Jérémie, Hadrien Courtecuisse, Olivier Comas, et al. "Computer-based training system for cataract surgery." SIMULATION 89, no. 12 (2013): 1421–35. http://dx.doi.org/10.1177/0037549713495753.

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Zhang, Man, and Seung-Soon Shin. "Computer Vision-based Basketball Player Training System." Journal of Digital Contents Society 25, no. 3 (2024): 595–605. http://dx.doi.org/10.9728/dcs.2024.25.3.595.

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Zahorian, Stephen A., and Neiyer S. Correal. "Vowel training experiments with a computer‐based vowel training system." Journal of the Acoustical Society of America 95, no. 5 (1994): 3014. http://dx.doi.org/10.1121/1.408799.

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Machovikov, Alexei, Kirill Stolyarov, Maxim Chernov, Ian Sinclair, and Iliana Machovikova. "Computer-Based Training System for Russian Word Pronunciation." Computer Assisted Language Learning 15, no. 2 (2002): 201–14. http://dx.doi.org/10.1076/call.15.2.201.8192.

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Zang, Hua Dong. "Intelligent Sensor Networks Based Computer Lab Management System." Advanced Materials Research 838-841 (November 2013): 3256–59. http://dx.doi.org/10.4028/www.scientific.net/amr.838-841.3256.

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Current emphasis on practical teaching, students creative thinking higher vocational schools teaching philosophy, the traditional manual management mode of the computer training room shows weak features, mainly for equipment maintenance cycle length and the contradiction between the teaching needs. From teaching management, equipment maintenance, environmental management, safety management, explore computer-based training room sensor network management model.

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Zaloom, Victor, and Prakash Ramachandran. "A computer based training system for process safety management." Computers & Industrial Engineering 31, no. 1-2 (1996): 511–14. http://dx.doi.org/10.1016/0360-8352(96)00187-8.

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Abbas, Qaiser, Sadaf Hina, Hamza Sajjad, Khurram Shabih Zaidi, and Rehan Akbar. "Optimization of predictive performance of intrusion detection system using hybrid ensemble model for secure systems." PeerJ Computer Science 9 (September 4, 2023): e1552. http://dx.doi.org/10.7717/peerj-cs.1552.

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Network intrusion is one of the main threats to organizational networks and systems. Its timely detection is a profound challenge for the security of networks and systems. The situation is even more challenging for small and medium enterprises (SMEs) of developing countries where limited resources and investment in deploying foreign security controls and development of indigenous security solutions are big hurdles. A robust, yet cost-effective network intrusion detection system is required to secure traditional and Internet of Things (IoT) networks to confront such escalating security challeng

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Wang, Zi Qing, Bin Shen, Zheng Guo Liu, and Jun Qing Liu. "Remote Repair System Based on VIRTOOLS." Advanced Materials Research 791-793 (September 2013): 1028–31. http://dx.doi.org/10.4028/www.scientific.net/amr.791-793.1028.

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With the increasingly complex new equipment, its maintenance repair training to become a big problem in the process of using the equipment. The traditional training mode by the equipment repair most limit, long development cycle, the characteristics of large investment, based on analysis of virtual repair training system development and function of demand, establish the remote repair system based on VIRTOOLS . The system can create realistic simulation results on the computer, the computer simulation of realistic behavior. The combination of network technology and virtual reality technology or

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Hu, Wen-Chao, Wang-Zhou Dai, Yuan Jiang, and Zhi-Hua Zhou. "Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 16 (2025): 17333–41. https://doi.org/10.1609/aaai.v39i16.33905.

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Neuro-Symbolic (NeSy) AI could be regarded as an analogy to human dual-process cognition, modeling the intuitive System 1 with neural networks and the algorithmic System 2 with symbolic reasoning. However, for complex learning targets, NeSy systems often generate outputs inconsistent with domain knowledge and it is challenging to rectify them. Inspired by the human Cognitive Reflection, which promptly detects errors in our intuitive response and revises them by invoking the System 2 reasoning, we propose to improve NeSy systems by introducing Abductive Reflection (ABL-Refl) based on the Abduct

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COSÍO, F. ARÁMBULA, M. A. PADILLA CASTAÑEDA, and P. R. SEVILLA MARTÍNEZ. "COMPUTER ASSISTED PROSTATE SURGERY TRAINING." International Journal of Humanoid Robotics 03, no. 04 (2006): 485–98. http://dx.doi.org/10.1142/s0219843606000916.

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We report the current development of a new computer assisted system for local and remote training of transurethral resection of the prostate (TURP). The system is based on a 3D computer model of the prostate gland, which simulates deformations and resections of prostatic tissue. Simulated resections of the prostate can be repeatedly performed by the residents of urology to enhance their training. Automatic prostate recognition software was developed for the construction of a large library of prostate models. We report the software development of the system and show promising preliminary result

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Li, Xin, and Zenon J. Pudlowski. "An Interactive Computer-Based Training System for Electrical Engineering Education." International Journal of Electrical Engineering & Education 32, no. 1 (1995): 5–20. http://dx.doi.org/10.1177/002072099503200102.

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An interactive computer-based training system for electrical engineering education A computer learning network including an interactive computer-based training system (ICBTS) for electrical engineering has been developed. This article discusses the integration of instruction design, courseware delivery and students' performance analysis into one flexible system through computer-based learning. It considers the design and development of ICBTS, which is suitable for engineering students at university level.

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Resnick, D., C. Mitchell, and T. Govindaraj. "An embedded computer-based training system for rhino robot operators." IEEE Control Systems Magazine 7, no. 3 (1987): 3–8. http://dx.doi.org/10.1109/mcs.1987.1105304.

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Rambani, Rohit, James Ward, and Warren Viant. "Desktop-Based Computer-Assisted Orthopedic Training System for Spinal Surgery." Journal of Surgical Education 71, no. 6 (2014): 805–9. http://dx.doi.org/10.1016/j.jsurg.2014.04.012.

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Sue Boehmer, Linda. "Micro-computer-based expert system technology applied to industrial training." ISA Transactions 28, no. 1 (1989): 53–57. http://dx.doi.org/10.1016/0019-0578(89)90057-8.

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Li, Xinyang, and Jingguo Zhang. "A Semantic Feature Enhancement-Based Aerial Image Target Detection Method Using Dense RFB-FE." International Journal on Semantic Web and Information Systems 19, no. 1 (2023): 1–18. http://dx.doi.org/10.4018/ijswis.331083.

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Aerial image target detection is a challenging task due to the complex backgrounds, dense target distribution, and large-scale differences often present in aerial images. Existing methods often struggle to effectively extract detailed features and address the issue of imbalanced positive and negative samples. To tackle these challenges, an aerial image target detection method (dense RFB-FE-CGAM) based on dense RFB-FE and channel-global attention mechanism (CGAM) was proposed. First, the authors design a shallow feature enhancement module using dense RFB feature multiplexing and expand convolut

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Fu, Wai-Tat, Daniel Bothell, Scott Douglass, Craig Haimson, Myeong-Ho Sohn, and John Anderson. "Toward a real-time model-based training system." Interacting with Computers 18, no. 6 (2006): 1215–41. http://dx.doi.org/10.1016/j.intcom.2006.07.011.

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Sharit, J., S. Chen, and D. ‐Y M. Lin. "Expert System Based Training for Emergency Management." Journal of Computing in Civil Engineering 7, no. 1 (1993): 6–22. http://dx.doi.org/10.1061/(asce)0887-3801(1993)7:1(6).

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Yu, Shi Lin, Jing Wang, and Chang He Ren. "Design of the Teaching & Training System Based on the Training Ship." Applied Mechanics and Materials 530-531 (February 2014): 1137–41. http://dx.doi.org/10.4028/www.scientific.net/amm.530-531.1137.

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According to the teaching and training needs, we establish the network of education and training systems, which is programmed by taking advantage of training ship data, virtual simulation technology, network and computer technology, and provide a more functional teaching and training platform for the real-ship education.

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Pereira, Carlos. "Double Evolution – A Computer-Based Quality Management System for Enterprise-Specific Training." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 44, no. 11 (2000): 406–9. http://dx.doi.org/10.1177/154193120004401120.

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This paper deals with the development and implementation of a computer-based quality management system for enterprise-specific training. The system can be used by both training organisations and enterprises. It gives training processes a structure and it provides instruments that can be used for the assurance and evaluation of the quality of training.

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Li, He, Gang Zou, Lin Li, and Dehui Yu. "Helicopter Training Simulator Measurement and Control System Based on Computer Simulation Technology." Journal of Physics: Conference Series 2143, no. 1 (2021): 012011. http://dx.doi.org/10.1088/1742-6596/2143/1/012011.

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Abstract With the development of computer software technology and simulation technology, simulation training has been widely used. Helicopter training simulation has become an important part of helicopter training, and its status is becoming more and more important. On the one hand, the air mechanic is responsible for the maintenance and organization of the helicopter during the flight, and on the other hand is responsible for the starting and stopping of the helicopter engine, the operation of related equipment, and the handling of emergencies during the flight. The simulation training has th

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Kiselyova, N. N., A. V. Stolyarenko, V. V. Ryazanov, O. V. Sen’ko, A. A. Dokukin, and V. V. Podbel’skii. "A system for computer-assisted design of inorganic compounds based on computer training." Pattern Recognition and Image Analysis 21, no. 1 (2011): 88–94. http://dx.doi.org/10.1134/s1054661811010081.

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Zhou, Jian. "Virtual reality sports auxiliary training system based on embedded system and computer technology." Microprocessors and Microsystems 82 (April 2021): 103944. http://dx.doi.org/10.1016/j.micpro.2021.103944.

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O'Neal, Fred, and Peter Fairweather. "THE EVALUATION AND SELECTION OF COMPUTER-BASED TRAINING AUTHORING SYSTEMS." CALICO Journal 2, no. 2 (2013): 27–31. http://dx.doi.org/10.1558/cj.v2i2.27-31.

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Authoring systems for computer-based training are becoming more and more common as hardware costs decrease. Decision makers who must select an authoring system must be sure that the system selected will meet actual training needs both present and future as determined by an in-depth analysis. Assuming the analysis has been done, this paper discusses the steps for selecting a suitable authoring system in some detail.

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Yau, Hong-Tzong, and Chien-Yu Hsu. "Development of a Dental Training System Based on Point-based Models." Computer-Aided Design and Applications 3, no. 6 (2006): 779–87. http://dx.doi.org/10.1080/16864360.2006.10738431.

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Li, Chunguang, and Jianbiao Cui. "Intelligent Sports Training System Based on Artificial Intelligence and Big Data." Mobile Information Systems 2021 (May 22, 2021): 1–11. http://dx.doi.org/10.1155/2021/9929650.

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All activities in training fields are for the improvement of athletes’ competitive abilities. A sports training system is an organizational system to achieve common goals. Competitive ability is one of the main manifestations of the evolution of the training system. With the rapid development of computer technology, people have begun to combine virtual reality and other technologies to achieve scientific sports-assisted training to eliminate traditional sports training that relied purely on experience. Pose estimation obtains the position, angle, and additional information about the human body

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Guerrero-Osuna, Héctor A., Jesús Antonio Nava-Pintor, Carlos Alberto Olvera-Olvera, Teodoro Ibarra-Pérez, Rocío Carrasco-Navarro, and Luis F. Luque-Vega. "Educational Mechatronics Training System Based on Computer Vision for Mobile Robots." Sustainability 15, no. 2 (2023): 1386. http://dx.doi.org/10.3390/su15021386.

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Boosting by the world’s context, several efforts have been maiden toward the digital transformation of Education. Technology-based active learning has become pivotal in pursuing a more flexible education system. This work presents the development of an Educational Mechatronics (EM) training system based on computer vision that performs as a positioning system for mobile robots in the 2D plane. The results show that the obtained precision, exactitude, and resolution of the EM training system are suitable for robotics applications comprising position, velocity, and acceleration variables. Moreov

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Deng, Biao, and Lian Wei Liu. "Virtual Training System of Special Equipment Operation Based on Virtools." Applied Mechanics and Materials 624 (August 2014): 540–44. http://dx.doi.org/10.4028/www.scientific.net/amm.624.540.

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Considering the problems of long training cycle, low frequency, big loss and high costs existing in traditional training, this article builds a three-dimensional virtual training environment and a interaction training method using virtual reality technology. This application enables trainees to learn a special equipment training knowledge on personal computer. This application can improve the training quality and efficiency, shorten the training cycle, save training funds, reduce equipment loss, has the advantages of safety, and are not affected by the conditions of use and environmental restr

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Wang, Yixiao. "A Distributed System Fault Diagnosis System based on Machine Learning." Scalable Computing: Practice and Experience 25, no. 2 (2024): 1117–23. http://dx.doi.org/10.12694/scpe.v25i2.2622.

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Now days distributed system becomes the mainstream system of information storage and processing. Compared with traditional systems, distributed systems are larger and more complex.However, the average probability of failure is higher and the difficulty, complexity of operation and maintenance are greatly increased. Therefore, it is necessary to use efficient methods to diagnose the system. Our aim is to use the trained model to diagnose the fault data of the distributed system, so we can obtain as high diagnostic accuracy as possible, and create a web side for users to use. The technique we pr

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Weiss, Holger, Tobias Ortmaier, Heiko Maass, Gerd Hirzinger, and Uwe Kuehnapfel. "A Virtual-Reality-Based Haptic Surgical Training System." Computer Aided Surgery 8, no. 5 (2003): 269–72. http://dx.doi.org/10.3109/10929080309146063.

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Yao, Jing, and Yanze Li. "Youth Sports Special Skills’ Training and Evaluation System Based on Machine Learning." Mobile Information Systems 2022 (August 8, 2022): 1–10. http://dx.doi.org/10.1155/2022/6082280.

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Nowadays, most sports training adopts such a mode, that is, the coach guides and observes the movements of the trainer on the side, or uses the camera to collect the data information in the training video. After the training, the trainer needs to experience and comprehend it according to the coach’s guidance and suggestions, which leads to a poor training effect to a certain extent, and the training movements are not so standardized. The most important thing is that the physical condition of the trainer will change at any time during the exercise. However, the traditional training mode cannot

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