Autors: Ivanova, M. S., Petkova, P. T., Petkov N. T.
Title: Machine Learning and Fuzzy Logic in Electronics: Applying Intelligence in Practice
Keywords: electronics; machine learning; fuzzy logic; neural networks;

Abstract: The paper presents an analysis and summary of the current research state concerning the application of machine learning and fuzzy logic for solving problems in electronics. The investigated domain is conceptualized with aim the achievements, trending topics and future research directions to be outlined. The applied research methodology includes a bibliographic approach in combination with a detailed examination of 66 selected papers. The findings reveal the gradually increasing interest over the last 10 years in the machine learning and fuzzy logic techniques for modeling, implementing and improving different hardware-based intelligent systems.

References

    Issue

    Electronics, vol. 10, issue 22, pp. 1-29, 2021, Switzerland, MDPI, https://doi.org/10.3390/electronics10222878

    Copyright MDPI, Basel, Switzerland

    Full text of the publication

    Цитирания (Citation/s):
    1. Hensel S, B. Marinov M, Obert M. 3D LiDAR Based SLAM System Evaluation with Low-Cost Real-Time Kinematics GPS Solution. Computation. 2022; 10(9):154. https://doi.org/10.3390/computation10090154 - 2022 - в издания, индексирани в Scopus или Web of Science
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    3. Min, K., Jananthan, H., Kepner, J., Fuzzy Relational Databases via Associative Arrays, 2023, arXiv preprint arXiv:2311.03574. - 2023 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science

    Вид: статия в списание, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus