Items where Author is "Osman, Muhammad Khusairi"

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Number of items: 9.

Article

Diabetic retinopathy pathological signs detection using image enhancement technique and deep learning / Abdul Hafiz Abu Samah …[et al.]. (2021) Journal of Electrical and Electronic Systems Research (JEESR), 18. pp. 44-52. ISSN 1985-5389

Designation of thorax and non-thorax regions for lung cancer detection in CT scan images using deep learning / Mohd Firdaus Abdullah … [et al.]. (2020) Journal of Electrical and Electronic Systems Research (JEESR), 17. pp. 41-49. ISSN 1985-5389

Automated recognition of asphalt pavement crack using deep convolution neural network / Nor Aizam Muhamed Yusof …[et al.]. (2019) Journal of Electrical and Electronic Systems Research (JEESR), 15. pp. 7-15. ISSN 1985-5389

3D object recognition using affine moment invariants and multiple adaptive network based fuzzy inference system / Muhammad Khusairi Osman … [et al.]. (2009) ESTEEM Academic Journal, 5 (1). pp. 37-51. ISSN 1675-7939

Conference or Workshop Item

Artificial intelligence system for detection and classification of flexible pavement crack’s severity / Anas Ibrahim ... [et al.]. (2020) In: The 9th International Innovation, Invention and Design Competition 2020, 17 May-10 Oct 2020, Perak, Malaysia.

An intelligent CAD system for automated detection of thorax region in CT scan of lung cancer / Mohd Firdaus Abdullah ... [et al.]. (2020) In: UNSPECIFIED.

Research Reports

Geostatistical analysis of spatial variability of a clay deposit / Lim Jit Kheng, Ng Set Foong and Muhammad Khusairi Osman. (2009) [Research Reports] (Unpublished)

A performance comparison study of pattern recognition systems for volatile organic compounds detection / Emilia Noorsal, Muhammad Khusairi Osman and Norfadzilah Mokhtar. (2007) [Research Reports] (Unpublished)

PC-base Wireless Development System (WDS) for Mobile Robot / Muhammad Khusairi Osman, Zuraidi Saad and Zainal Hisham Che Soh. (2007) [Research Reports] (Unpublished)

This list was generated on Fri Mar 29 00:30:00 2024 UTC.