Projects per year
Personal profile
Research interests
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
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Showcase/MVP of Personal Protective Equipment (PPE)
Luqman, H., Alfarraj, M., Ul Hassan Khan, A., Azani, S. & Sabr, A.
1/06/22 → 1/04/23
Project: Research
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Automated Detection of Diabetic Changes in Fundus Photographs of Saudi Patients
Khan, F., Luqman, H. & Mohandes, M.
1/06/22 → 31/05/23
Project: Research
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Improved Approach for Arabic Sign Language Visual Recognition Using Hand and Facial Gestures with Deep Learning
15/04/20 → 15/03/21
Project: Research
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ArabSign: A Multi-modality Dataset and Benchmark for Continuous Arabic Sign Language Recognition
Luqman, H., 2023, 2023 IEEE 17th International Conference on Automatic Face and Gesture Recognition, FG 2023. Institute of Electrical and Electronics Engineers Inc., (2023 IEEE 17th International Conference on Automatic Face and Gesture Recognition, FG 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Scopus citations -
A systematic review of machine learning techniques for stance detection and its applications
Alturayeif, N., Luqman, H. & Ahmed, M., Mar 2023, In: Neural Computing and Applications. 35, 7, p. 5113-5144 32 p.Research output: Contribution to journal › Review article › peer-review
Open Access4 Scopus citations -
Contrastive-based YOLOv7 for personal protective equipment detection
Samma, H., Al-Azani, S., Luqman, H. & Alfarraj, M., 2023, (Accepted/In press) In: Neural Computing and Applications.Research output: Contribution to journal › Article › peer-review
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Diabetic retinopathy grading review: Current techniques and future directions
Almattar, W., Luqman, H. & Khan, F. A., Nov 2023, In: Image and Vision Computing. 139, 104821.Research output: Contribution to journal › Review article › peer-review
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Recursions Are All You Need: Towards Efficient Deep Unfolding Networks
Alhejaili, R., Alfarraj, M., Luqman, H. & Al-Shaikhi, A., 2023, Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023. IEEE Computer Society, p. 4705-4714 10 p. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; vol. 2023-June).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review