檢索結果 - Ugur Yayan

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  1. 1

    A Federated Supply Chain Digital Twin Architecture: Signal-Based Ripple Effect Simulation Using Model-Based Systems Engineering 由 Ugur Yayan

    發表在 IEEE Access (2026-01-01)
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  2. 2

    Tailored mutation-based software fault injection tool (IM-FIT) 由 Ugur Yayan, Cem Baglum

    發表在 SoftwareX (2023-07-01)
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  3. 3

    A NEW MODEL ON BENTHIC FORAMINIFER IMAGE CLASSIFICATION AND DEFINITIONS BASED ON CONVENTIONAL NEURAL NETWORK (CNN) 由 Uğur Yayan, Kübra Yayan

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  4. 4

    Generating Python Mutants From Bug Fixes Using Neural Machine Translation 由 Sergen Asik, Ugur Yayan

    發表在 IEEE Access (2023-01-01)
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  5. 5

    KAMERA HATA ENJEKSİYON ARACI İLE KAMERA TABANLI ROBOTİK DENETLEME SİSTEMİNİN DOĞRULANMASI VE ONAYLANMASI 由 Uğur Yayan, Alim Kerem Erdoğmuş

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  6. 6

    Prognostics-aware multi-robot route planning to extend the lifetime 由 Ugur Yayan, Ahmet Yazici, Inci SARICICEK

    發表在 Kuwait Journal of Science (2022-09-01)
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  7. 7

    Mutation-Based White Box Testing of Deep Neural Networks 由 Gokhan Cetiner, Ugur Yayan, Ahmet Yazici

    發表在 IEEE Access (2024-01-01)
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  8. 8

    CleanAI: Deep neural network model quality evaluation tool 由 Osman Caglar, Cem Baglum, Ugur Yayan

    發表在 SoftwareX (2025-02-01)
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  9. 9

    Multi-Label Benthic Foraminifera Identification With Convolutional Neural Networks 由 Kubra Yayan, Cem Baglum, Ugur Yayan

    發表在 IEEE Access (2024-01-01)
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  10. 10

    A Novel Method for SoH Prediction of Batteries Based on Stacked LSTM with Quick Charge Data 由 Ugur Yayan, Abdullah Taha Arslan, Hikmet Yucel

    發表在 Applied Artificial Intelligence (2021-05-01)
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  11. 11

    Real-Time Big Data Pipelines for Industrial Robot Digital Twins: An OMPL Benchmarking Framework 由 Metin Yılmaz, Cem Suha Yılmaz, Serhat Kahraman, Uğur Yayan

    發表在 Machines (2026-06-01)
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  12. 12

    FMU-Based Multi Criteria Trajectory Validation of Industrial Robots 由 Serhat Kahraman, Cem Suha Yilmaz, Metin Yilmaz, Ugur Yayan

    發表在 IEEE Access (2026-01-01)
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  13. 13

    XR4MCR: Multiplayer collaborative robotics maintenance training platform in extended reality 由 Yunus Emre ESEN, Berk Kaan ÇETİNCAN, Kübra YAYAN, Özgür BURNAK, Uğur YAYAN

    發表在 SoftwareX (2025-09-01)
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  14. 14

    XR-Driven Robotic System Training for Occupational Health, Safety, and Maintenance 由 Yunus Emre Esen, Berk Kaan Cetincan, Kubra Yayan, Huseyin Guray Gurlek, Ugur Yayan

    發表在 IEEE Access (2025-01-01)
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  15. 15

    Towards an extensive set of criteria for safety and cyber-security evaluation of cyber-physical systems [version 1; peer review: 2 approved] 由 Ugur Yayan, Behrooz Sangchoolie, Alper Kanak, Aleš Smrčka, Jose Luis de la Vara, Emanuele Mingozzi, Salih Ergun, Raul Barbosa, Marie Farrell, Cem Baglum

    發表在 Open Research Europe (2023-12-01)
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