Showing 201 - 220 results of 12,475 for search '"algorithms"', query time: 0.06s Refine Results
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    Enhancing Residential Electricity Consumption Forecasting with Meta-Heuristic Algorithms by Milad Mohebbi, Behnam Sobhani

    Published 2024-06-01
    “…These algorithms were evaluated for their effectiveness in adapting to seasonal variations in electricity consumption data. …”
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    Article
  3. 203

    Energy-Efficient Train Operation Using Nature-Inspired Algorithms by Kemal Keskin, Abdurrahman Karamancioglu

    Published 2017-01-01
    “…A train operation optimization by minimizing its traction energy subject to various constraints is carried out using nature-inspired evolutionary algorithms. The optimization process results in switching points that initiate cruising and coasting phases of the driving. …”
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    Article
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    Microplastic Identification Using Impedance Spectroscopy and Machine Learning Algorithms by Juan Sarmiento, Maribel Anaya, Diego Tibaduiza

    Published 2024-01-01
    “…As a contribution to the solution of this problem, this work presents a microplastic detection and classification methodology that uses an electronic tongue system, impedance spectroscopy, and machine learning algorithms for detecting and classifying microplastics. …”
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    Application of Reinforcement Learning in Cognitive Radio Networks: Models and Algorithms by Kok-Lim Alvin Yau, Geong-Sen Poh, Su Fong Chien, Hasan A. A. Al-Rawi

    Published 2014-01-01
    “…It provides an extensive review on how most schemes have been approached using the traditional and enhanced RL algorithms through state, action, and reward representations. …”
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    Article
  11. 211

    Filtration Algorithms of Untrustworthy Analogous Information in APCS at TPP and NPP by V. I. Nazarov, Е. V. Pronkevich

    Published 2012-02-01
    “…The paper considers filtration algorithms of untrustworthy analogous information in APCS at TTP and NPP that make it possible to identify credibility of information transmitted through communication channels in the form of signals and which are continuously changeable in the regime of real time.…”
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    General Improvements of Heuristic Algorithms for Low Complexity DOA Estimation by Haihua Chen, Haoran Li, Mingyang Yang, Changbo Xiang, Masakiyo Suzuki

    Published 2019-01-01
    “…Traditional heuristic algorithms usually need a large number of particles and iteration times. …”
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    Article
  14. 214

    Medical Images Segmentation Based on Unsupervised Algorithms: A Review by Revella E. A. Armya, Adnan Mohsin Abdulazeez

    Published 2021-04-01
    “…The key aim of this paper is to study some literature on unsupervised algorithms (K-mean, K-medoids) and to compare the working efficiency of unsupervised algorithms with different types of medical images. …”
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    Comparative analysis of elementwise reception-algorithms in intersymbol interference channels by Eugene O. Khabarov, Vladimir D. Martyshenko

    Published 2024-12-01
    “…Optimal and suboptimal sorting-algorithms as well as algorithms on linear equalizer based were consider. …”
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    SURVEY OF MACHINE LEARNING APPLICATIONS IN MEDICAL IMAGING. ALGORITHMS AND TECHNOLOGIES by Marius Eremia Vlaicu POPA, Mihai CRUCERU, Bogdan DIACONU

    Published 2023-05-01
    “…A literature survey was conducted attempting to report usage of Machine Learning (ML) algorithms in processing and interpretation of medical images (X-ray, CT scan, MRI, DEXA, etc.) for the purpose of diagnosing orthopedic disorders. …”
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    Article
  19. 219

    Textual and chemical information processing: different domains but similar algorithms by Peter Willett

    Published 2000-01-01
    “…This paper discusses the extent to which algorithms developed for the processing of textual databases are also applicable to the processing of chemical structure databases, and <I>vice</i> <i>versa</i>. …”
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  20. 220

    COMPUTER ALGORITHMS FOR EVALUATION OF SPARKING INDICATED BY OPTOELECTRONIC SPARKING ANALYZER by W. Zelinski

    Published 2005-08-01
    “…Optoelectronic sparking analyzer provides the possibility to realize a number of algorithms that permit to convert indicated light signals containing information on number of sparkings in the measuring cycle and their intensity divided in ten classes. …”
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    Article