Projects per year
Personal profile
Research interests
Artificial Intelligence, Computer Vision, Machine Learning, Deep Learning, Digital Image Processing, Digital Signal Processing
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Dive into the research topics where Motaz Alfarraj is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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An End-to-End Framework for Robust Acquisition and Processing of Seismic Data Using Compressed Sensing and Deep Learning
Masood, M., Alfarraj, M., Deriche, M., Iqbal, N., Mahmoud, S. & Mohandes, M.
1/07/21 → 1/07/23
Project: Research
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Application of AI-Based Super-Resolution in Seismic Image Processing
Zummo, S., Al-Shuhail, A., Alfarraj, M. & Alghadhban, S.
1/07/21 → 31/12/22
Project: Research
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Automatic Hajj and Umrah Ritual Detection Using IMU Sensors
Chikhaoui, K., Elrashidy, M., Alfarraj, M., Muqaibel, A. H., Sadagah, R. & Sharqawi, A., 2022, In: IEEE Access. 10, p. 98232-98243 12 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Efficient Seismic Image Super-Resolution
Hamida, A., Alfarraj, M., Al-Shuhail, A. A. & Zummo, S. A., 15 Aug 2022, In: SEG Technical Program Expanded Abstracts. 2022-August, p. 1659-1663 5 p.Research output: Contribution to journal › Conference article › peer-review
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EFFICIENT SELF-CALIBRATED CONVOLUTION FOR REAL-TIME IMAGE SUPER-RESOLUTION
Hamida, A., Alfarraj, M. & Zummo, S. A., 2022, 2022 IEEE International Conference on Image Processing, ICIP 2022 - Proceedings. IEEE Computer Society, p. 1176-1180 5 p. (Proceedings - International Conference on Image Processing, ICIP).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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FaciesViT: Vision transformer for an improved core lithofacies prediction
Koeshidayatullah, A., Al-Azani, S., Baraboshkin, E. E. & Alfarraj, M., 4 Oct 2022, In: Frontiers in Earth Science. 10, 992442.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Fabric surface characterization: assessment of deep learning-based texture representations using a challenging dataset
Hu, Y., Long, Z., Sundaresan, A., Alfarraj, M., AlRegib, G., Park, S. & Jayaraman, S., 2021, In: Journal of the Textile Institute. 112, 2, p. 293-305 13 p.Research output: Contribution to journal › Article › peer-review
4 Scopus citations