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  1. 2861

    Control of the Electric Load Simulator Using Fuzzy Multiresolution Wavelet Neural Network with Dynamic Compensation by Chao Wang, Yuanlong Hou, Rongzhong Liu, Qiang Gao, Runmin Hou

    Published 2016-01-01
    “…The fuzzy algorithm is used to dynamically adjust the weights of the WNN and effectively accelerate the convergence rate. …”
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    Article
  2. 2862

    Prototype System for Supporting Medical Diagnosis Based on Voice Interviewing by Artur Samojluk, Piotr Artiemjew

    Published 2025-01-01
    “…In this paper, we present the results of a study on the development of a system to support medical diagnoses based on voice-based medical interviews. The main objective is to develop a tool that improves the process of collecting information from patients, using natural language analysis to identify key diagnostic information. …”
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    Article
  3. 2863

    Designing of a dynamic logistics platform for optimization of truck assignment and its route for KINZA company by Osamah Abdulhameed, Sali Ghanem, Rafal Sadeq, Reemas Al Ghamdi, Dalal Al Mazyad, Naveed Ahmed

    Published 2025-01-01
    “…Finally, the main scope of this paper is to develop and design a dynamic logistics platform for the KINZA Company distribution network.…”
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    Article
  4. 2864

    Robotic Mapping and Localization with Real-Time Dense Stereo on Reconfigurable Hardware by John Kalomiros, John Lygouras

    Published 2010-01-01
    “…The FastSLAM Bayesian algorithm is applied in order to track and update observations and the robot path in real time. …”
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    Article
  5. 2865

    Processing and analysis of images of microstructure metals for determining the grain point by R. P. Bohush, Y. R. Adamousky, S. F. Denisenak

    Published 2021-07-01
    “…An algorithmic support for metallographic images preprocessing and analysis is presented. …”
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    Article
  6. 2866

    Modeling of information channel by using of pseudorandom signals of nonlinear dynamical system by I. K. Nasyrov, V. V. Andreev

    Published 2020-11-01
    “…This made it possible to base the detection algorithm on the correlation reception between signal components. …”
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    Article
  7. 2867

    DIAGNOSTIC IMAGING STANDARDS FOR BONE METASTASES by N. I. Sergeev, P. M. Kotlyarov, V. A. Solodkiy

    Published 2018-03-01
    “…The original «principle of 8 diagnostic elements» had been created, allowing the assessment of the main pathological conditions and processes occurring in bone structures. …”
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    Article
  8. 2868

    Professional self-determination theory of senior pupils in Russian psychology by E. P. Shutova, A. S. Velikanova (Gerasimova)

    Published 2021-12-01
    “…It is shown that the available approaches can be divided into two main groups. Some researchers focus on the goal and end result of vocational self-determination, while others seek to reveal the algorithm of the process itself and/or its stages. …”
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    Article
  9. 2869

    Synthesis and analysis of an integrated suspension energy harvesting system for continuous half-width speed bumps by Min-Chie Chiu, Ho-Chih Cheng, Ming-Guo Her, Mansour Karkoub

    Published 2025-06-01
    “…The focus is on the effect of harvesters’ parameters and speed bump’s physical characteristics on the power generation performance of the harvesters. The main objective is to maximize electricity and minimize the ride comfort efficiency index using a multi-objective optimization function in conjunction with a genetic algorithm. …”
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    Article
  10. 2870

    Wavelets Application in Prediction of Friction Stir Welding Parameters of Alloy Joints from Vibroacoustic ANN-Based Model by Emilio Jiménez-Macías, Angel Sánchez-Roca, Hipólito Carvajal-Fals, Julio Blanco-Fernández, Eduardo Martínez-Cámara

    Published 2014-01-01
    “…This paper analyses the correlation between the acoustic emission signals and the main parameters of friction stir welding process based on artificial neural networks (ANNs). …”
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    Article
  11. 2871

    An Image Encryption Scheme Based on DNA Computing and Cellular Automata by Shihua Zhou, Bin Wang, Xuedong Zheng, Changjun Zhou

    Published 2016-01-01
    “…An efficient approach to encryption involving reversible T-DNA cellular automata as an encryption tool and natural DNA sequences as the main keys is here proposed. The results of a simulation experiment, performance analysis, and comparison to other encryption algorithms showed this algorithm to be capable of resisting brute force attacks, statistical attacks, and differential attacks. …”
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    Article
  12. 2872

    Development of High Accuracy Classifier for the Speaker Recognition System by Raghad Tariq Al-Hassani, Dogu Cagdas Atilla, Çağatay Aydin

    Published 2021-01-01
    “…Channel conditions manifested by background noise and reverberation are the main challenges causing feature shifts in the test and training data. …”
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    Article
  13. 2873

    DSGD++: Reducing Uncertainty and Training Time in the DSGD Classifier through a Mass Assignment Function Initialization Technique by Aik Tarkhanyan, Ashot Harutyunyan

    Published 2025-08-01
    “…Although DST-based algorithms offer significant benefits, they face challenges in terms of efficiency. …”
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    Article
  14. 2874

    ENVIRONMENTAL AND HYDRO /ECO NOMICASSESSMENT AS A TOOL FOR MANAGING WATER USE AND LIFE QUALITY OF POPULATION IN RURAL TERRITORIES OF ALTAI KRAY by Elena S. Orlova, Irina D. Rybkina

    Published 2020-08-01
    “…The article proposes the algorithm for the environmental and hydro/economic assessment of rural territories in Altai Kray based on combination of two groups of indicators, that is environmental and water/economic ones. …”
    Article
  15. 2875

    Analysis of early fault vibration detection and analysis of offshore wind power transmission based on deep neural network by Boyu Yang, Anmin Cai, Weirong Lin

    Published 2022-12-01
    “…Among the main fault locations of wind turbines, downtime accidents caused by bearing faults account for the majority. …”
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    Article
  16. 2876

    Generating Deeply-Engineered Technical Features for Basketball Video Understanding by Shaohua Fang, Guifeng Wang, Yongbin Li, Yue Yu, Jun Li

    Published 2025-01-01
    “…We engineer the technical features of gameplay through video analysis and introduce a behavioral analysis method using a multi-layer learning architecture. Our main contributions include: 1) an LSTM-based deep learning architecture for player action recognition and prediction; 2) a clustering-based algorithm for basketball court and line detection; and 3) a keyframe selection technique for basketball videos based on spatial-temporal scoring. …”
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    Article
  17. 2877

    DOA Estimation Method in Multipath Environment for Passive Bistatic Radar by Panhe Hu, Qinglong Bao, Zengping Chen

    Published 2019-01-01
    “…Under such scenario, the main focus of this paper is to cope with the closely spaced uncorrelated and coherent signals in low signal-to-noise ratio and limited snapshots. …”
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    Article
  18. 2878

    Real-Time Structural Damage Assessment Using Artificial Neural Networks and Antiresonant Frequencies by V. Meruane, J. Mahu

    Published 2014-01-01
    “…The main problem in damage assessment is the determination of how to ascertain the presence, location, and severity of structural damage given the structure's dynamic characteristics. …”
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    Article
  19. 2879

    Methodology for Diagnostics of the Company Management and Technological Maturity by Olena Martynyuk

    Published 2017-12-01
    “…Basing on the analysis performed, the author created a concept of levels of the company management and technological maturity considering the main parameters of the company management and technological maturity. …”
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    Article
  20. 2880

    Regionalization of water quality parameters based on the landscape characteristics of small ungauged basins by Danilo Garofalo, Marcos Ferreira

    Published 2022-03-01
    “… One of the main problems associated with the analysis of water quality parameters (WQPs) in developing countries is the low number of sampling sites in small watersheds. …”
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    Article