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Computer Assisted Methods in Engineering and Science
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  • Fault classification in cylinders using multi-layer perceptrons, support vector machines and Gaussian mixture models

    Tshilidzi Marwala, Unathi Mahola, Snehashish Chakraverty
    2022-08-24
    307-316
  • Handling Dimensionality of Ambiguity Using Ensemble Classification in Social Networks to Detect Multi-Label Sentiment Polarity

    Sudarshan S. Sonawane, Satish R. Kolhe
    2022-09-06
    7–26
  • Machine Learning and Feature Selection-Enabled Optimized Technique for Heart Disease Classification and Prediction

    P. Nancy, Prasad Raghunath Mutkule, Kalpana Sunil Thakre, Ajay S. Ladkat, S.B.G. Tilak Babu, Sunil L. Bangare, Mohd Naved
    2024-08-13
    419–429
  • Classification of Cognitive States Using Clustering-Split Time Series Framework

    J. Siva Ramakrishna, Hariharan Ramasangu
    2024-04-08
    241–260
  • Entropy-based regularization of AdaBoost

    Michał Bereta
    2017-12-22
    89–100
  • Interpretability versus Explainability: Classification for Understanding Deep Learning Systems and Models

    Ivars Namatēvs, Kaspars Sudars, Artis Dobrājs
    2022-07-14
    297–356
  • Image Mining Based on Deep Belief Neural Network and Feature Matching Approach Using Manhattan Distance

    Faiyaz Ahmad, Tanvir Ahmad
    2021-09-07
    139–167
  • Non-contact model-based diagnostics of electrical motor involving uncertainty and imprecision of model parameters

    Piotr Czop, Lucjan Miękina
    2022-11-28
    123- 132
  • Application of support vector machine in geodesy for the classification of vertical displacements

    Maria Mrówczyńska
    2017-01-25
    77-85
  • Image segmentation and classification with application to dietary assessment using BMI-calorie calculator

    S. Jasmine Minija, W.R. Sam Emmanuel
    2019-12-31
    177–189
  • Classification and Detection of Skin Disease Based on Machine Learning and Image Processing Evolutionary Models

    Dibyahash Bordoloi, Vijay Singh, Karthikeyan Kaliyaperumal, Mahyudin Ritonga, Malik Jawarneh, Thanwamas Kassanuk, Jose Quiñonez-Choquecota
    2023-04-21
    247–256
  • A comparison of deep convolutional neural networks for image-based detection of concrete surface cracks

    Marek Słoński
    2019-11-15
    105-112
  • Machine Learning-Based Business Rule Engine Data Transformation over High-Speed Networks

    K. Neelima, S. Vasundra
    2022-09-12
    55–71
  • Dual representation of samples for negative selection issues

    Andrzej Chmielewski, Sławomir T. Wierzchoń
    2022-08-17
    579-590
  • A Supervised Approach to Musculoskeletal Imaging Fracture Detection and Classification Using Deep Learning Algorithms

    Santoshachandra Rao Karanam, Y. Srinivas, S. Chakravarty
    2023-03-16
    369–385
  • 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
  • Preface

    Zenon Waszczyszyn
    2017-01-25
    315
  • Brain Tumor Classification in MRI Images Using Genetic Algorithm Appended CNN

    T. Balamurugan, E. Gnanamanoharan
    2023-07-25
    305–321
  • Classification and Segmentation of Periodontal Cyst for Digital Dental Diagnosis Using Deep Learning

    Lakshmi T.K., J. Dheeba
    2022-10-03
    131–149
  • Measuring Comparative Statistical Effectiveness of Cancer Subtype Categorization Using Gene Expression Data

    Avila Clemenshia P., Deepa C.
    2024-06-06
    261–272
  • Cooperative answering of queries based on hierarchical decision attributes

    Zbigniew W. Raś, Xin Zhang
    2022-08-17
    729-736
  • Solution sets for systems of linear interval equations

    Zenon Kulpa, Karol Rosłaniec
    2023-03-29
    625-639
  • Preface

    Tadeusz Burczyński
    2017-12-22
    87
  • Application of evolutionary algorithm to limitation of a set of statistical features of thermovision images

    Marek Fidali, Grzegorz Urbanek
    2022-08-17
    601-609
  • Convolutional Neural Networks in the SSI Analysis for Mine-Induced Vibrations

    Maciej Cyprian Zajac, Krystyna Kuzniar
    2023-11-29
    3–28
  • Applying Artificial Neural Networks for analysis of geotechnical problems

    Maria J. Sulewska
    2017-01-25
    231–241
1 - 26 of 26 items

cover

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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  • Machine Learning and Feature Selection-Enabled Optimized Technique for Heart Disease Classification and Prediction
    318
  • Optimizing Branching Strategies in Mono- and Multi-Repository Environments: A Comprehensive Analysis
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  • Classification and Segmentation of Periodontal Cyst for Digital Dental Diagnosis Using Deep Learning
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Institute of Fundamental Technological Research

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Email: bmunk@ippt.pan.pl

 

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Computer Assisted Methods in Engineering and Science
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