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  • Damage Localization Using Fiber Bragg Grating Sensors in Self-referencing Conguration: A Numerical Study

    Abhishek Patange, Farzam Omidi Moaf, Piotr Fiborek, Adityan Arumuganainar, Rohan Nandkishor Soman
    2025-06-18
  • Gaussian mixture model for time series-based structural damage detection

    Marek Słoński
    2017-01-25
    331-338
  • Rotating machinery diagnostics based on NARX models

    Jarosław Bednarz, Tomasz Barszcz, Tadeusz Uhl
    2022-08-17
    557-567
  • Damage detection in elements of structures by the elastic wave propagation method

    Wiesław Ostachowicz, Arkadiusz Żak, Paweł Kudela, Marek Krawczuk
    2022-11-21
    109-124
  • Application of discrete wavelet transformation in damage detection. Part II: Heat transfer experiments

    Krzysztof Ziopaja, Zbigniew Pozorski, Andrzej Garstecki
    2022-11-21
    39-51
  • Novelty detection based on elastic wave signals measured by different techniques

    Piotr Nazarko, Leonard Ziemiański
    2017-01-25
    317-330
  • Application of discrete wavelet transformation in damage detection. Part I: Static and dynamic experiments

    Anna Knitter-Piątkowska, Zbigniew Pozorski, Andrzej Garstecki
    2022-11-21
    21-38
  • Localized and decentralized identification for large-scale structures

    Bin Xu, Zhishen Wu
    2022-08-24
    361-378
  • Application of artificial neural networks in the damage identification of structural elements

    Piotr Nazarko, Leonard Ziemiański
    2017-01-25
    175–189
  • Preface

    Zenon Waszczyszyn
    2017-01-25
    315
  • Hybrid Deep Learning Method for Detection of Liver Cancer

    Sunita P. Deshmukh, Dharmaveer Choudhari, Shankar Amalraj, Pravin N. Matte
    2023-03-01
    151–165
1 - 11 of 11 items

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ISSN: 2299-3649, e-ISSN: 2956-5839

Cover and indexes

ISSN: 2299-3649, e-ISSN: 2956-5839

Computer Assisted Methods in Engineering and Science

Institute of Fundamental Technological Research
Polish Academy of Sciences

IPPT-PAN

Institute of Fundamental Technological Research
Polish Academy of Sciences

IF-Scopus

Open Access

2024
2.3      CiteScore

48th percentile

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Institute of Fundamental Technological Research

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Polish Academy of Sciences except certain content provided by third parties.

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Computer Assisted Methods in Engineering and Science
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