1. Aslam, M.A., X. Wei, N. Ahmed, G. Saleem, T. Amin and H. Caixue, 2024. VRL-IQA: Visual representation learning for image quality assessment. IEEE Access, 12: 2458-2473.
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2. Malik, A., M. Ali, F.S. Alsubaei, N. Ahmed and H. Kumar, 2023. A color image encryption scheme based on singular values and chaos. Comput. Model. Eng. Sci., 137: 965-999.
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3. Ahmed, N., H.M.S. Asif, A.R. Bhatti and A. Khan, 2022. Deep ensembling for perceptual image quality assessment. Soft Comput., 26: 7601-7622.
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4. Ahmed, N., F. Iftikhar, U. Farooq, B. Niaz and S. Nauman et al., 2022. Synergistic effect of amino-functionalized multiwalled carbon nanotube incorporated polyurethane nanocomposites for high-performance smart materials applications. J. Mater. Eng. Perform., 31: 5523-5534.
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5. Ahmed, N. and S. Asif, 2022. BIQ2021: A large-scale blind image quality assessment database. J. Electron. Imag., Vol. 31. 10.1117/1.JEI.31.5.053010.
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6. Khalid, H., M. Ali and N. Ahmed, 2021. Gaussian process-based feature-enriched blind image quality assessment. J. Visual Commun. Image Represent., Vol. 77. 10.1016/j.jvcir.2021.103092.
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7. Ahmed, N., H.M.S. Asif and H. Khalid, 2021. PIQI: Perceptual image quality index based on ensemble of Gaussian process regression. Multimed. Tools Appl., 80: 15677-15700.
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8. Ahmad, N., H.M.S. Asif, G. Saleem, M.U. Younus, S. Anwar and M.R. Anjum, 2021. Leaf image-based plant disease identification using color and texture features. Wireless Pers. Commun., 121: 1139-1168.
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9. Ahmed, N. and H.M.S. Asif, 2020. Perceptual quality assessment of digital images using deep features. Comput. Bioinf., 39: 385-409.
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10. Saleem, G., M. Akhtar, N. Ahmed and W.S. Qureshi, 2019. Automated analysis of visual leaf shape features for plant classification. Comp. Electron. Agric., 157: 270-280.
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11. Ahmed, N., H.M.S. Asif and G. Saleem, 2016. A benchmark for performance evaluation and security assessment of image encryption schemes. Int. J. Comput. Network Inf. Secur., 8: 18-29.
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