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  1. 5021

    Analysis of Spatial Landmarks for Seamless Urban Navigation of Visually Impaired People by Min Wang, Aurelie Dommes, Valerie Renaudin, Ni Zhu

    Published 2023-01-01
    “…Data were analyzed by sensory modality, occurrence of use, and number of users. 14 main landmarks for urban navigation were selected and categorized into two groups: Waypoints and Reassurance Points, depending on whether they are directly detected by touch. …”
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  2. 5022

    Enhancing Automated Maneuvering Decisions in UCAV Air Combat Games Using Homotopy-Based Reinforcement Learning by Yiwen Zhu, Yuan Zheng, Wenya Wei, Zhou Fang

    Published 2024-12-01
    “…This technique gradually transitions from auxiliary tasks enriched with artificial rewards to the main task characterized by sparse rewards through homotopic paths. …”
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  3. 5023

    A Survey on Data Mining for Data-Driven Industrial Assets Maintenance by Eduardo Coronel, Benjamín Barán, Pedro Gardel

    Published 2025-02-01
    “…The study categorizes two main techniques, four specialized approaches, and 27 methodologies, resulting in over 100 variations of algorithms tailored to specific maintenance needs for industrial assets. …”
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  4. 5024

    Machine Learning for Prediction of Relapses in Multiple Drug Resistant Tuberculosis Patients by A. S. Аlliluev, O. V. Filinyuk, E. E. Shnаyder, S. V. Аksenov

    Published 2021-11-01
    “…Analysis of the characteristics of relapse prediction models in cured MDR TB patients using machine learning algorithms including decision tree, random forest, gradient boosting, and logistic regression using K-block stratified validation revealed high sensitivity (0.74 ± 0.167; 0.91 ± 0.17; 0.91 ± 0.14; 0.91 ± 0.16, respectively) and specificity (0.97 ± 0.03; 0.98 ± 0.02; 0.98 ± 0.02; 0.98 ± 0.02, respectively).Five main predictors of relapse in cured MDR-TB patients were identified: repeated courses of chemotherapy; length of history of tuberculosis; destructive process in the lungs; total duration of treatment less than 22 months; and use of less than five effective anti-TB drugs in the regimen of chemotherapy.…”
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  5. 5025

    Theoretical approaches to detecting anomalies in meter readings in scientific literature by D.V. Furikhata, T.A. Vakalyuk

    Published 2025-07-01
    “…The prospects for further development of anomaly detection technologies in the context of integrating IoT devices, technology development and implementing more complex deep learning algorithms are considered.…”
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  6. 5026

    Learning Analytics: A Data Mining and Machine Learning Perspective by Salam Ullah Khan, Kifayat Ullah, Mahvash Arsalan Lodhi, Sadaqat Ali Khan Bangash

    Published 2019-03-01
    “… Tremendous proliferation in data generation in the past few years has paved the way for new research and the development of new and improved techniques and algorithms in different fields of science and education. …”
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  7. 5027

    Features of single treasury account management in the context of budget funds liquidity management by N. S. Sergienko

    Published 2025-08-01
    “…The key aspects of single treasury account functioning as a tool for consolidation and optimization of public finances have been presented. The main attention has been paid to the methodologies of calculating budgetary funds balance on single treasury account. …”
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  8. 5028

    Distinguish the Value of the Benign Nevus and Melanomas Using Machine Learning: A Meta-Analysis and Systematic Review by Suli Li, Yihang Chu, Ying Wang, Yantong Wang, Shipeng Hu, Xiangye Wu, Xinwei Qi

    Published 2022-01-01
    “…This suggests that state-of-the-art ML-based algorithms for distinguishing melanoma from benign nevi may be ready for clinical use. …”
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  9. 5029

    Nuevos modelos para la Caracterización, Detección y Diagnóstico de Fallas en Máquinas Eléctricas Rotativas by Jair Elías Araujo Vargas, Dilan Yesid Franklin Coronel, Victor Manuel Arias Ruiz

    Published 2023-07-01
    “…Physical methods and vibration analysis are currently used to detect problems, although these approaches present limitations in both accuracy and efficiency due to the subjectivity of each case and the loss of information in each case. The main objective is to explore and propose new methodologies for characterizing faults in electric motors through the use of data analysis and machine learning techniques, reviewing traditional and current methods for fault diagnosis, including vibration analysis techniques and supervised and unsupervised learning algorithms. …”
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  10. 5030

    Artificial Empathy and Imprecise Communication in a Multi-Agent System by Joanna Siwek, Konrad Pierzyński, Przemysław Siwek, Adrian Wójcik, Patryk Żywica

    Published 2024-12-01
    “…Future research focus on implementing the model on physical platform and optimize the artificial empathy algorithms in the decision-making module.…”
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  11. 5031

    A multi-faceted review of wind turbine optimization techniques: Metaheuristics and related issues by Hegazy Rezk, Abdul Ghani Olabi, Tabbi Wilberforce, Enas Taha Sayed

    Published 2025-03-01
    “…This article comprehensively reviews the current optimization state for wind energy systems and examines the use of metaheuristic optimization algorithms. Metaheuristic optimization algorithms combine fundamental heuristic concepts with approximation approaches to effectively explore and utilize research space. …”
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  12. 5032

    Decentralized and Joint Resource Allocation, Beamforming, and Beamcombining for 5G Networks With Heterogeneous MARL by Ala'a Al-Habashna, Jon Menard, Gabriel Wainer, Gary Boudreau

    Published 2025-01-01
    “…The proposed paradigm employs two types of heterogenous agents that learn to perform and optimize different tasks in order to achieve the main objective of the system, as well as the objective of the individual agents. …”
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  13. 5033

    Predicting the Open Porosity of Industrial Mortar Applied on Different Substrates: A Machine Learning Approach by Rafael Travincas, Maria Paula Mendes, Isabel Torres, Inês Flores-Colen

    Published 2024-11-01
    “…This database was then used to train and test the machine learning algorithms to predict the open porosity of the mortar. …”
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  14. 5034

    Enhancing e-learning through AI: advanced techniques for optimizing student performance by Rund Mahafdah, Seifeddine Bouallegue, Ridha Bouallegue

    Published 2024-12-01
    “…This study offers a thorough examination of how AI can be utilized to enhance e-learning results by employing advanced predictive methods and performance optimization strategies. The main goals consist of creating an AI-based framework to monitor and analyze student interactions, evaluating the influence of online learning platforms on student understanding using advanced algorithms, and determining the most efficient methods for blended learning systems. …”
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  15. 5035

    Performance characteristics of the fork-join queuing system by V. I. Klimenok

    Published 2023-09-01
    “…It is required to build the process of the system functioning, to find the condition for the existence of a stationary distribution, and propose algorithms for calculating the stationary distribution and the main stationary performance characteristics. …”
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  16. 5036

    Planar Free-Positioning Wireless Power Transfer System for Industrial and Automotive Robotic Applications by Shamsul Arefeen Al Mahmud, Yining Liu, Nam Ha-Van, Prasad Jayathurathnage, Sergei A. Tretyakov

    Published 2025-01-01
    “…Enabling wireless power transfer (WPT) over a large area has been proposed for charging moving devices. One of the main challenges in large-area WPT systems is the fluctuations of efficiency and power at certain receiver positions or orientations, which necessitates the implementation of complex receiver tracking and control algorithms. …”
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  17. 5037

    Research of theoretical basis of implementation of intelligent control systems for locomotive traction transmission by Oleksandr Gorobchenko, Denys Zaika, Sergiy Maliuk, Oleksandr Arkhypov, Oleksandr Nevedrov

    Published 2025-07-01
    “…The main areas of artificial intelligence application in railway transport are identified, particularly in locomotive control systems and optimization of operational modes. …”
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  18. 5038
  19. 5039

    Standards of Specialized Diabetes Care / Edited by Dedov I.I., Shestakova M.V., Mayorov A.Yu. 11th Edition by I. Dedov, M. Shestakova, A. Mayorov, N. Mokrysheva, E.  Andreeva, O. Bezlepkina, V. Peterkova, E. Artemova, P. Bardiugov, D. Beshlieva, O. Bondarenko, F. Burumkulova, O. Vikulova, N. Volevodz, G. Galstyan, I. Gomova, O. Grigoryan, Z. Dzhemilova, L. Ibragimova, V. Kalashnikov, I. Kononenko, T. Kuraeva, D. Laptev, D. Lipatov, O. Melnikova, M. Mikhina, M. Michurova, O. Motovilin, T. Nikonova, R. Rozhivanov, O. Smirnova, E. Starostina, E. Surkova, O. Sukhareva, A. Tiselko, A. Tokmakova, M. Shamkhalova, E. Shestakova, I. Jarek-Martynowa, M. Yaroslavceva

    Published 2024-01-01
    “…Therefore, clinical recommendations posted in the rubricator of the Ministry of Health of the Russian Federation (https://cr.minzdrav.gov.ru) being the priority.This edition of the Algorithms for Specialized Care for Patients with Diabetes Mellitus contains the main information from the clinical guidelines for the management of diabetes mellitus in adults and children (“Type 1 Diabetes in Children (2022)”, “Type 1 Diabetes in Adults (2022)”, “Type 2 diabetes mellitus in children (2021)”, “Type 2 diabetes mellitus in adults (2022)”), as well as the updated data.New information has been added about indications for using of antihyperglycemic drugs and their instructional restrictions; algorithm of treatment of type 2 diabetes mellitus has been updated; clarifications have been made on the range of glycemic control in pregnant women; information on the treatment of diabetic complications and the management of pediatric patients has been added. …”
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  20. 5040

    A Novel Jamming Method Based on Sine Function Secondary Modulation and Phase Coded Modulation by Guikun Liu, Guangyuan Li, Zhenyang Xu, Haoming Xu, Feng Ming, Liang Li, Chen Song, Zhengshuai Li, Peng Wang

    Published 2025-01-01
    “…According to the jamming effect, SAR jamming methods can be mainly divided into suppression jamming and deception jamming. …”
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