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Computer Assisted Methods in Engineering and Science
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  • Dynamic model updating using neural networks

    Leonard Ziemiański, Bartosz Miller
    2023-03-30
    781-793
  • Beam yielding load identification by neural networks

    Bartosz Miller, Grzegorz Piątkowski, Leonard Ziemiański
    2023-05-22
    449-467
  • Neural networks in the advisory system for repairs of industrial concrete floors

    Marcin Gajzler
    2017-01-25
    255–263
  • Neural networks for the analysis of mine-induced building vibrations

    Krystyna Kuźniar
    2017-01-25
    147-159
  • Application of neural networks for structure updating

    Bartosz Miller
    2017-01-25
    191–203
  • Prediction of concrete fatigue durability using Bayesian neural networks

    Marek Słoński
    2022-11-30
    259-265
  • Neural network prediction of load capacity for eccentrically loaded reinforced concrete columns

    Magdalena Jakubek
    2017-01-25
    339-349
  • A comparison of deep convolutional neural networks for image-based detection of concrete surface cracks

    Marek Słoński
    2019-11-15
    105-112
  • Some methods of pre-processing input data for neural networks

    Krystyna Kuźniar, Maciej Zając
    2017-01-25
    141-151
  • Chlorophyll profile estimation in ocean waters by a set of artificial neural networks

    Fabio Dall Cortivo, Ezzat S. Chalhoub, Haroldo F. Campos Velho, Milton Kampel
    2017-01-25
    63-88
  • Applying Artificial Neural Networks for analysis of geotechnical problems

    Maria J. Sulewska
    2017-01-25
    231–241
  • Convolutional Neural Networks in the SSI Analysis for Mine-Induced Vibrations

    Maciej Cyprian Zajac, Krystyna Kuzniar
    2023-11-29
    3–28
  • Artificial neural networks in civil and structural engineering: Ten years of research in Poland

    Zenon Waszczyszyn
    2022-09-26
    489-512
  • Convolutional Neural Networks in the Detection of Astronomical Objects from the Messier Catalog

    Witold Beluch, Paweł Śliwa
    2023-10-02
    461–479
  • Artificial neural networks in civil engineering: another five years of research in Poland

    Zenon Waszczyszyn
    2017-01-25
    131–146
  • Heuristic modeling using recurrent neural networks: simulated and real-data experiments

    Piotr Przystałka
    2022-08-17
    715-727
  • Artificial neural network models for fault detection and isolation of industrial processes

    Józef Korbicz, Andrzej Janczak
    2023-02-22
    55-69
  • Preface

    Anil Kumar Budati, Mohammad Kamrul Hasan, Rengaraj Arthi, Karthikeyan Thangavel
    2023-02-28
    3–6
  • Application of support vector machine in geodesy for the classification of vertical displacements

    Maria Mrówczyńska
    2017-01-25
    77-85
  • Simulation of hysteresis loops for a superconductor using neural networks with Kalman filtering

    Agnieszka Krok
    2022-09-27
    575-582
  • Multi-Objective Approach to Improve Network Lifetime and Congestion Control Routing for Wireless Sensor Networks

    P. Suman Prakash, D. Kavitha, P. Chenna Reddy
    2022-03-04
    49–69
  • Neural identification of compaction characteristics for granular soils

    Marzena Kłos, Zenon Waszczyszyn, Maria Sulewska
    2017-01-25
    265–273
  • Bayesian neural networks and Gaussian processes in identification of concrete properties

    Marek Słoński
    2017-01-25
    291–302
  • Artificial neural networks in diagnostic system for purifying fumes installation

    Stanisław Bańka, Krzysztof Jaroszewski
    2022-08-11
    531-541
  • Designing a Cross Trainer Using an Artificial Neural Network

    Siddhartha Patra
    2021-07-08
    119–138
  • ANN constitutive material model in the shakedown analysis of an aluminum structure

    Beata Potrzeszcz-Sut, Ewa Pabisek
    2017-01-25
    49-58
  • Deep Learning Method for Classifying Items into Categories for Dutch Auctions

    Janusz Bobulski, Sabina Szymoniak
    2024-01-12
    67–79
  • Localized and decentralized identification for large-scale structures

    Bin Xu, Zhishen Wu
    2022-08-24
    361-378
  • Application concept of artificial neural networks for turbomachinery design

    Mark Azzam, Jan-Christoph Haag, Peter Jeschke
    2017-01-25
    143-160
  • Discrete-time impulsive Hopfield neural networks with finite distributed delays

    Haydar Akҫa, Rajai Alassar, Valery Covachev, H. Ali Yurtsever
    2022-08-24
    145-158
  • Application of artificial neural networks in the damage identification of structural elements

    Piotr Nazarko, Leonard Ziemiański
    2017-01-25
    175–189
  • Neurocomputing in the analysis of selected inverse problems of mechanics of structures and materials

    Zenon Waszczyszyn, Leonard Ziemiański
    2022-11-21
    125-159
  • Prediction of consistency parameters of fen soils by neural networks

    Artur Borowiec, Krzysztof Wilk
    2017-01-25
    67-75
  • Fuzzy evolutionary algorithms and neural networks in uncertain optimization problems

    Piotr Orantek
    2022-08-24
    317-329
  • Neural network aided stochastic computations and earthquake engineering

    Nikos D. Lagaros, Manolis Papadrakakis, Michalis Fragiadakis, George Stefanou, Yiannis Tsompanakis
    2022-08-24
    251-275
  • Fuzzy control based on “true and false” philosophy for mechatronics systems

    Chi Tran
    2017-01-25
    11-20
  • An intelligent computing technique in identification problems

    Piotr Orantek
    2022-11-18
    351-364
  • Neural procedures for the hybrid FEM/NN analysis of elastoplatic plates

    Łukasz Kaczmarczyk, Zenon Waszczyszyn
    2022-11-21
    379-391
  • Neural modelling of compactibility characteristics of cohesionless soil

    Maria J. Sulewska
    2017-01-25
    27–40
  • Fuzzy weight neural network in the analysis of concrete specimens and R/C column buckling tests

    Magdalena Jakubek
    2017-01-25
    243–254
  • Designing neural-network-based fault detection systems with D-optimum experimental conditions

    Marcin Witczak, Przemysław Prętki
    2022-11-30
    279-291
  • Hybrid Monte Carlo method in the reliability analysis of structures

    Joanna Kaliszuk
    2017-01-25
    205–216
  • Hybrid Deep Learning Method for Detection of Liver Cancer

    Sunita P. Deshmukh, Dharmaveer Choudhari, Shankar Amalraj, Pravin N. Matte
    2023-03-01
    151–165
  • Neural network identification of building natural periods with various splitting up of the patterns into training and testing sets

    Krystyna Kuźniar
    2022-08-24
    243-250
  • Back analysis of microplane model parameters using soft computing methods

    Anna Kucerova, Matej Leps, Jan Zeman
    2022-08-24
    219-242
  • HPC strength prediction using Bayesian neural networks

    Marek Słoński
    2022-08-24
    345-352
  • Self-learning FEM/NMM approach to identification of equivalent material models for plane stress problem

    Ewa Pabisek
    2022-08-11
    67-78
  • Identification of characteristic length of microstructure for second order continuum multiscale model by Bayesian neural networks

    Łukasz Kaczmarczyk, Zenon Waszczyszyn
    2022-08-24
    183-196
  • Delamination identification using machine learning methods and Haar wavelets

    Ljubov Feklistova, Helle Hein
    2017-01-25
    351-360
  • Recent developments in numerical homogenization

    Daniela P. Boso, Marek Lefik, Bernhard A. Schrefler
    2017-01-25
    161-183
  • Cracking and failure estimation of reinforced concrete beams on the basis of dynamic characteristics

    Lidia Buda-Ożóg, Władysław Łakota
    2022-08-24
    159-166
  • Fault detection in railway point drive supported by data mining methods

    Mariusz Gibiec
    2022-08-17
    611-619
  • Intelligent computing in inverse problems

    Tadeusz Burczyński, Witold Beluch, Adam Długosz, Piotr Orantek, Antoni Skrobol
    2022-11-21
    161-206
  • Topological optimization and inverse problems

    Lidia Jackowska-Strumiłło, Jan Sokołowski, Antoni Żochowski
    2023-01-27
    163-176
  • Novelty detection based on elastic wave signals measured by different techniques

    Piotr Nazarko, Leonard Ziemiański
    2017-01-25
    317-330
  • Data filtering using dynamic particles method

    Łukasz Rauch, Jan Kusiak
    2022-08-24
    353-360
  • Applications of improved SVM framework in modeling in mechanics

    Krishnan V. Pagalthivarthi, Ankush Mittal, Puneet Goyal, Gagan R. Gupta
    2022-08-18
    509-523
  • 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
  • An optimization of heuristic model of water supply network

    Ryszard Wyczólłkowski, Bogdan Wysogląd
    2022-08-17
    767-776
  • The identification of the load causing partial yielding on the basis of the dynamic characteristics

    Bartosz Miller, Leonard Ziemiański
    2022-09-27
    627-631
  • A Deep Hybrid Model for Human-Computer Interaction Using Dynamic Hand Gesture Recognition

    Brindha Ramalingam, Geetha Angappan
    2023-03-28
    263–276
  • Holistic approach to diagnostics of engineering materials

    Janusz Kasperkiewicz, Dariusz Alterman
    2022-08-24
    197-207
1 - 62 of 62 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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