A. Ghafouri Matanagh Et Al. , "Classifying the Percentage of Broken Magnets in Permanent Magnet Synchronous Motors Using Combined Short-Time Fourier Transform and a Pre-Trained Convolutional Neural Network," Energies , vol.17, no.2, 2024
Ghafouri Matanagh, A. Et Al. 2024. Classifying the Percentage of Broken Magnets in Permanent Magnet Synchronous Motors Using Combined Short-Time Fourier Transform and a Pre-Trained Convolutional Neural Network. Energies , vol.17, no.2 .
Ghafouri Matanagh, A., Öztürk, S. B., GÖKTAŞ, T., & Hegazy, O., (2024). Classifying the Percentage of Broken Magnets in Permanent Magnet Synchronous Motors Using Combined Short-Time Fourier Transform and a Pre-Trained Convolutional Neural Network. Energies , vol.17, no.2.
Ghafouri Matanagh, Amin Et Al. "Classifying the Percentage of Broken Magnets in Permanent Magnet Synchronous Motors Using Combined Short-Time Fourier Transform and a Pre-Trained Convolutional Neural Network," Energies , vol.17, no.2, 2024
Ghafouri Matanagh, Amin G. Et Al. "Classifying the Percentage of Broken Magnets in Permanent Magnet Synchronous Motors Using Combined Short-Time Fourier Transform and a Pre-Trained Convolutional Neural Network." Energies , vol.17, no.2, 2024
Ghafouri Matanagh, A. Et Al. (2024) . "Classifying the Percentage of Broken Magnets in Permanent Magnet Synchronous Motors Using Combined Short-Time Fourier Transform and a Pre-Trained Convolutional Neural Network." Energies , vol.17, no.2.
@article{article, author={Amin Ghafouri Matanagh Et Al. }, title={Classifying the Percentage of Broken Magnets in Permanent Magnet Synchronous Motors Using Combined Short-Time Fourier Transform and a Pre-Trained Convolutional Neural Network}, journal={Energies}, year=2024}