Hasil Pencarian - Mohammad Yazdani-Asrami

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  1. 1
    Multi-Objective Optimization for Improving Weight and Fault Characteristics of a DC HTS Cable in Cryo-Electric Aircraft

    Multi-Objective Optimization for Improving Weight and Fault Characteristics of a DC HTS Cable in Cryo-Electric Aircraft oleh Alireza Sadeghi, Mohammad Yazdani-Asrami

    Diterbitkan 2022-11-01
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  2. 2
    Machine learning-based model for the intelligent estimation of critical heat flux in nanofluids

    Machine learning-based model for the intelligent estimation of critical heat flux in nanofluids oleh Shahin Alipour Bonab, Mohammad Yazdani-Asrami

    Diterbitkan 2024-01-01
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  3. 3
    Optimal Design of C-Type Filter in Harmonics Polluted Distribution Systems

    Optimal Design of C-Type Filter in Harmonics Polluted Distribution Systems oleh Rohollah Tamaskani, Masume Khodsuz, Mohammad Yazdani-Asrami

    Diterbitkan 2022-02-01
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  4. 4
    Enhancing the Predictive Modeling of n-Value Surfaces in Various High Temperature Superconducting Materials Using a Feed-Forward Deep Neural Network Technique

    Enhancing the Predictive Modeling of n-Value Surfaces in Various High Temperature Superconducting Materials Using a Feed-Forward Deep Neural Network Technique oleh Shahin Alipour Bonab, Wenjuan Song, Mohammad Yazdani-Asrami

    Diterbitkan 2024-07-01
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  5. 5
    A New Intelligent Estimation Method Based on the Cascade-Forward Neural Network for the Electric and Magnetic Fields in the Vicinity of the High Voltage Overhead Transmission Lines

    A New Intelligent Estimation Method Based on the Cascade-Forward Neural Network for the Electric and Magnetic Fields in the Vicinity of the High Voltage Overhead Transmission Lines oleh Shahin Alipour Bonab, Wenjuan Song, Mohammad Yazdani-Asrami

    Diterbitkan 2023-10-01
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  6. 6
    Digital Twins for Condition and Fleet Monitoring of Aircraft: Toward More-Intelligent Electrified Aviation Systems

    Digital Twins for Condition and Fleet Monitoring of Aircraft: Toward More-Intelligent Electrified Aviation Systems oleh Alireza Sadeghi, Paolo Bellavista, Wenjuan Song, Mohammad Yazdani-Asrami

    Diterbitkan 2024-01-01
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  7. 7
    Intelligent Probability Estimation of Quenches Caused by Weak Points in High-Temperature Superconducting Tapes

    Intelligent Probability Estimation of Quenches Caused by Weak Points in High-Temperature Superconducting Tapes oleh Alireza Sadeghi, Zhihui Xu, Wenjuan Song, Mohammad Yazdani-Asrami

    Diterbitkan 2022-12-01
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  8. 8
    A comprehensive machine learning-based investigation for the index-value prediction of 2G HTS coated conductor tapes

    A comprehensive machine learning-based investigation for the index-value prediction of 2G HTS coated conductor tapes oleh Shahin Alipour Bonab, Giacomo Russo, Antonio Morandi, Mohammad Yazdani-Asrami

    Diterbitkan 2024-01-01
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  9. 9
    Magnetization Loss in HTS Coated Conductor Exposed to Harmonic External Magnetic Fields for Superconducting Rotating Machine Applications

    Magnetization Loss in HTS Coated Conductor Exposed to Harmonic External Magnetic Fields for Superconducting Rotating Machine Applications oleh Mohammad Yazdani-Asrami, Wenjuan Song, Min Zhang, Weijia Yuan, Xiaoze Pei

    Diterbitkan 2021-01-01
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  10. 10
    Prediction of Nonsinusoidal AC Loss of Superconducting Tapes Using Artificial Intelligence-Based Models

    Prediction of Nonsinusoidal AC Loss of Superconducting Tapes Using Artificial Intelligence-Based Models oleh Mohammad Yazdani-Asrami, Mehran Taghipour-Gorjikolaie, Wenjuan Song, Min Zhang, Weijia Yuan

    Diterbitkan 2020-01-01
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  11. 11
    Role of Flux Diverters in Reducing AC Loss in a Single-Phase 6.5 MVA HTS Traction Transformer for Chinese High-Speed Train Carrying High-Order Harmonic Currents

    Role of Flux Diverters in Reducing AC Loss in a Single-Phase 6.5 MVA HTS Traction Transformer for Chinese High-Speed Train Carrying High-Order Harmonic Currents oleh Wenjuan Song, Zhenan Jiang, Mohammad Yazdani-Asrami, Mike Staines, Rodney A. Badcock, Jin Fang

    Diterbitkan 2022-01-01
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  12. 12
    Time-Domain Protection of Superconducting Cables Based on Artificial Intelligence Classifiers

    Time-Domain Protection of Superconducting Cables Based on Artificial Intelligence Classifiers oleh Eleni Tsotsopoulou, Xenofon Karagiannis, Panagiotis Papadopoulos, Adam Dysko, Mohammad Yazdani-Asrami, Campbell Booth, Dimitrios Tzelepis

    Diterbitkan 2022-01-01
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