Rasheed, J. Et Al. 2022. An Efficient Machine Learning-Based Model to Effectively Classify the Type of Noises in QR Code: A Hybrid Approach. SYMMETRY-BASEL , vol.14, no.10 .

Rasheed, J., Wardak, A. B., Abu-Mahfouz, A. M., Umer, T., YEŞİLTEPE, M., & Waziry, S., (2022). An Efficient Machine Learning-Based Model to Effectively Classify the Type of Noises in QR Code: A Hybrid Approach. SYMMETRY-BASEL , vol.14, no.10.

Rasheed, Jawad Et Al. "An Efficient Machine Learning-Based Model to Effectively Classify the Type of Noises in QR Code: A Hybrid Approach," SYMMETRY-BASEL , vol.14, no.10, 2022

Rasheed, Jawad Et Al. "An Efficient Machine Learning-Based Model to Effectively Classify the Type of Noises in QR Code: A Hybrid Approach." SYMMETRY-BASEL , vol.14, no.10, 2022

Rasheed, J. Et Al. (2022) . "An Efficient Machine Learning-Based Model to Effectively Classify the Type of Noises in QR Code: A Hybrid Approach." SYMMETRY-BASEL , vol.14, no.10.

@article{article, author={Jawad Rasheed Et Al. }, title={An Efficient Machine Learning-Based Model to Effectively Classify the Type of Noises in QR Code: A Hybrid Approach}, journal={SYMMETRY-BASEL}, year=2022}