Wind Turbine Fault Identification in Sample Imbalance Scenarios Using FRBCS With GAN Oversampling and Metric Learning by Changsheng Kang, Xiaoyi Qian, Lixin Wang, Ziheng Dai, Shuai Guan, Yi Zhao, Wenyao Sun

“…The GAN oversampling algorithm is introduced to eliminate the imbalance of the actual samples, and the metric learning algorithm (MLA) is adopted to improve the separability of different fault samples of the FRBCS. 10 common faults of megawatt-level WTs are used to validate the effectiveness of the proposed method, the results show that the proposed method effectively improves fault identification accuracy in the presence of imbalanced fault samples.…”
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Non-Singular Fast Sliding Mode Control of Robot Manipulators Based on Integrated Dynamic Compensation by Xinyi Wang, Xichang Liang, Shunjing Hu, Qianqian Xin

“…Finally, trajectory tracking experiments are conducted on an experimental platform and compared with the PID algorithm, demonstrating the superior control performance of the proposed algorithm.…”
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Verification of Telecommunication Systems Specified by Communicating Finite Automata with the Help of Coloured Petri Nets by D. M. Beloglazov, M. Yu. Mashukov, V. A. Nepomniaschy

“…This algorithm has been represented and justified in [4]. …”
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Narrow Artificial Intelligence with Machine Learning for Real-Time Estimation of a Mobile Agent’s Location Using Hidden Markov Models by Cédric Beaulac, Fabrice Larribe

“…First, it provides real-time estimation of the mobile agent’s position using the forward algorithm. Second, it uses the Baum–Welch algorithm as a statistical learning tool to gain knowledge of the mobile target. …”
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An Expert Fitness Diagnosis System Based on Elastic Cloud Computing by Kevin C. Tseng, Chia-Chuan Wu

“…In addition, an elastic algorithm based on Poisson distribution is presented to allocate computation resources dynamically. …”
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Model Similarity Calculation Based on Adaptive Global Optimal Harmony Search by GAO Xue-yao, DONG Xin-ran, ZHANG Chun-xiang

“…Self-adaptive global best harmony search algorithm is used to find an optimal face matching sequence between source model and target one from face similarity matrix. …”
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Quality control of radiotherapy treatment plans with electrons by Luciana Tourinho Campos, Luiz Ribeiro da Rosa, Delano Valdivino Batista, Delson Braz

“…Tests cases had been developed according to the Brazilian reality, having as reference the radiotherapy treatments carried out in the National Institute of the Cancer.The system developed for checking the quality of treatment planning systems with electrons was efficient in evaluating the Eclipse planning system by identifying the failures of their algorithms, especially in planning the isodose. The verification system has been validated against the Monte Carlo method and the experimental data with an ionization chamber and showed the shortcomings of generalized pencil beam and eMC algorithms.…”
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Group k- Nearest Neighbor Query Method for Uncertainty Data in Obstructed Spaces by WAN Jing, TANG Bei-bei, SUN Jian, HE Yun-bin, LI Song

“…To deal with the problem of group k nearest neighbor query method for uncertainty data in obstructed spaces, this paper presents the method of the PkOGNN（probabilistic k obstructed group nearest neighbor）query .The PkOGNN query method mainly includes four sub-algorithms: Compadist_o()，SpatialPru()，PruInterEnt() and PkOGNN(), These algorithms are respectively the calculation of the aggregate obstructed distance, the spatial pruning method, the pruning of the R-tree intermediate items according to the spatial pruning method, the final refined query method. …”
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ASSESSMENT OF 2D-DIC STOCHASTIC PATTERNS by Jakub Antoš, Václav Nežerka, Michael Somr

“…An additional investment into preparation of new experimental testing can be avoided with the use of tools employing algorithms for stochastic pattern assessment. The development of such algorithms and their implementation into an open-source DIC software is the goal of the presented research.…”
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Who moved my scan? Early adopter experiences with pre- and post-market healthcare AI regulation challenges by Aviad Raz, Yael Inbar, Netta Avnoon, Liat Bela Lifshitz-Milwidsky, Barkan Hofman, Asaf Honig, Ziv Paz

“…Real-world clinical experience provides a much-needed opportunity for deep learning AI algorithms to evolve and improve. Yet, it also constitutes a regulatory challenge, since such potential for learning may essentially change the algorithm and introduce new biases. …”
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Plastic water bottle detection model using computer vision in aquatic environments by Andrew Heller, Matthew Jacobs, Gilberto Acosta-González, Anna Basola, Jessica Beck, Wesley Garnes, Jarelys A. Hernández Molina, Alanso Johnson, Rebecca Kiriazes, Melissa Lenczewski, Ellen O’Brien, Grace Pooley Deans, Rhea Roxy, Blaise Trapani, Jason H. Davison

“…This work proposes an automated approach to waste counting, focusing on using computer vision, deep learning, and object tracking algorithms to acquire accurate counts of plastic bottles as they advect down rivers and streams. …”
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Calculation of Plane Contact Heating under Steady-State and Transient Conditions on the Basis of One-Dimension Model of Temperature Field by D. A. Gerasimovich, Y. A. Klimovich, M. A. Mishkina, G. G. Ezenkov

“…These algorithms are based on a separate solution of differential equations of electromagnetic and temperature fields. …”
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CAS-Colon: A Comprehensive Colonoscopy Anatomical Segmentation Dataset for Artificial Intelligence Development by Yiming Song, Zhengjie Zhang, Ruilan Wang, Ling Zhong, Crystal Cai, Jinnan Chen, Yujie Zhou, Xinyuan Wang, Zhao Li, Liuyi Yang, Zeyu Li, Hao Yan, Qingwei Zhang, Dahong Qian, Xiaobo Li

“…However, the development of robust AI algorithms is hindered by limited access to high-quality medical datasets and the labor-intensive nature of data annotation. …”
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An annotated morphological dataset for Uzbek word forms: Towards rule-based and machine learning approachesMendeley Data by Nilufar Abdurakhmonova, Raima Shirinova, Rano Sayfullayeva, Davlatyor Mengliev, Bahodir Ibragimov, Manzura Ernazarova

“…Two morphological analysis approaches were implemented and compared: a user-defined rule-based stemming algorithm and a conditional random fields (CRF)-based machine learning model. …”
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METHOD PARAMETER OPTIMIZATION ROCK CRUSHING. by Yu. A. Chpurgalov, M. Yu. Chpurgalova

“…Recommendations for use of the algorithm in the workplac…”
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THE SELECTION OF INVESTMENT PROPOSALS AT PRE-INVESTMENT STAGE IN THE FORMATION OF INVESTMENT PROGRAMS OF ROAD CONSTRUCTION by O. Gorelova

“…Tasks and procedure of the examination of investment projects are shown. The algorithm of examination of received investment proposals is considered.…”
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Prediction of complex organic compounds activity with artificial neural networks. by E. V. Burljaeva, P. A. Ushakov

“…The analysis of neural networks applicability for complex organic compounds activity prediction is provided. The regulation algorithm is offered to improve the prediction properties of the networks.…”
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UPDATEALGORITHMFDE, AS METHOD OF DEALING WITH "SMART INTERFERENCE" IN THE SATELLITE NAVIGATION RECEIVER GLONASS / GPS by A. M. Galyamov

“…The article discusses a possible way to deal with the "intelligent interference" in the receiver GLONASS / GPS, the essence of which is to clarify the existing algorithms and troubleshooting.…”
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Multi-objective production scheduling optimization strategy based on fuzzy mathematics theory. by Heshuai Shen

“…Multi-objective production scheduling faces the problems of inter-objective conflicts, many uncertainty factors and the difficulty of traditional optimization algorithms to deal with complexity and ambiguity, and there is an urgent need to introduce the theory of fuzzy mathematics in order to improve the scheduling efficiency and optimization effect. …”
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Alzheimer’s Disease Detection Using Deep Learning and Federated Learning by Taha Bin Niaz, Usman Amjad, Humera

“…The success and accuracy of the proposed algorithm are established with empirically defined metrics such as accuracy and defined thresholds. …”
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