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Mohammad Navid Fekri

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2022
[j2]
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  - journals/sensors/DunphyFGS22
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  - https://dblp.org/rec/journals/sensors/DunphyFGS22
Kyle Dunphy, Mohammad Navid Fekri, Katarina Grolinger, Ayan Sadhu:
Data Augmentation for Deep-Learning-Based Multiclass Structural Damage Detection Using Limited Information. Sensors 22(16): 6193 (2022)
2021
[j1]
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Rashpinder Kaur Jagait, Mohammad Navid Fekri, Katarina Grolinger, Syed Mir:
Load Forecasting Under Concept Drift: Online Ensemble Learning With Recurrent Neural Network and ARIMA. IEEE Access 9: 98992-99008 (2021)

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