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Computer Assisted Methods in Engineering and Science
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  • Image Mining Based on Deep Belief Neural Network and Feature Matching Approach Using Manhattan Distance

    Faiyaz Ahmad, Tanvir Ahmad
    2021-09-07
    139–167
  • Automated Lung Nodule Detection in CT Images by Optimized CNN: Impact of Improved Whale Optimization Algorithm

    M. Kiran Kumar, Anthoniraj Amalanathan
    2022-01-25
    7–31
  • Feature extraction using indicators of cyclostationarity for a mechanical diagnosis purpose

    Amani Raad, Jérôme Antoni, Ménad Sidahmed
    2022-11-30
    223-230
  • Classification of Cognitive States Using Clustering-Split Time Series Framework

    J. Siva Ramakrishna, Hariharan Ramasangu
    2024-04-08
    241–260
  • A comparison of deep convolutional neural networks for image-based detection of concrete surface cracks

    Marek Słoński
    2019-11-15
    105-112
  • Efficient and Robust Medical Image Watermarking Based on Optimal Subband Tree Structuring and Discrete Fractional Fourier Transform

    Anusha Chacko, Shanty Chacko
    2023-10-23
    557–581
  • Data filtering using dynamic particles method

    Łukasz Rauch, Jan Kusiak
    2022-08-24
    353-360
  • Predicting Wealth Score from Remote Sensing Satellite Images and Household Survey Data Using Deep Learning

    Shashank Shekhar, Pratibha Singh, Rashmi Mishra, Sunil Kumar
    2024-06-24
    351–387
1 - 8 of 8 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

2023
1.8      Citescore

44th 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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Bogna Matuszewska-Munk
Email: bmunk@ippt.pan.pl

 

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Computer Assisted Methods in Engineering and Science
Institute of Fundamental Technological Research PAS
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