Zubair Ahmad Lone is from Jammu and Kashmir. He has a Ph. D from National Institute of technology Karnataka. His research area is Computer Vision, Spectral Image Analysis.
Research Publications
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Lone, Z.A., Pais, A.R.: Object detection in hyperspectral images. Digital Signal Processing, 103752 (2022). Elsevier; DOI: https://doi.org/10.1016/j.dsp.2022.103752
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Lone, Z.A., Pais, A.R.: Salient object detection in hsi using mev-sfs and saliency optimization. The Visual Computer, 1–10 (2024). Springer; DOI: https://doi.org/10.1007/s00371-024-03324-3
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Lone, Z.A., Pais, A.R.: Salient object detection in hyperspectral images using felzenswalb’s segmentation algorithm. In: International Conference on Pattern Recognition and Machine Intelligence, pp. 451–458 (2021). Springer; https://doi.org/10.1007/978-3-031-12700-7_46
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Aaqib Iqbal Wani, Zubair Ahmad Lone, : A Survey of security issues and attacks in cloud and their possible defenses: International Journal of Emerging Technologies in Engineering Research, Vol: 5, Issue: 12. URL: https://www.ijeter.everscience.org/Manuscripts/Volume-5/Issue-12/Vol-5-issue-12-M-17.pdf
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Kumar, S., Lone, Z.A., Chandavarkar, B.R. (2021). Essential Requirements of IoT’s Cryptographic Algorithms: Case Study. In: Kumar, A., Mozar, S. (eds) ICCCE 2020. Lecture Notes in Electrical Engineering, vol 698. Springer, Singapore. https://doi.org/10.1007/978-981-15-7961-5_16
Expertise
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Spectral Image Processing,
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Computer vision,
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Salient Object Detection