• 267 Citations
  • 9 h-Index
20032019
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Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 14 Similar Profiles
Classifiers Engineering & Materials Science
Support vector machines Engineering & Materials Science
Textures Engineering & Materials Science
Image segmentation Engineering & Materials Science
Computer vision Engineering & Materials Science
Tissue Engineering & Materials Science
Pixels Engineering & Materials Science
Lighting Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2003 2019

  • 267 Citations
  • 9 h-Index
  • 29 Conference contribution
  • 26 Article

Distinctive accuracy measurement of binary descriptors in mobile augmented reality

Tan, S. Y., Arshad, H. & Abdullah, A., 1 Jan 2019, In : PLoS One. 14, 1, e0207191.

Research output: Contribution to journalArticle

Augmented reality
Luminance
Datasets
3 Citations (Scopus)

Absolute cosine-based SVM-RFE feature selection method for prostate histopathological grading

Sahran, S., Albashish, D., Abdullah, A., Shukor, N. A. & Hayati Md Pauzi, S., 1 May 2018, In : Artificial Intelligence in Medicine. 87, p. 78-90 13 p.

Research output: Contribution to journalArticle

Feature extraction
Prostate
Tissue
Textures
Classifiers

Adaptive threshold and piecewise fitting for iris localisation

Othman, Z. & Abdullah, A., 1 Jan 2018, In : Journal of Telecommunication, Electronic and Computer Engineering. 10, 2-7, p. 153-158 6 p.

Research output: Contribution to journalArticle

Pixels
Edge detection
Splines
Computer vision
Hysteresis

A hierarchical classifier for multiclass prostate histopathology image gleason grading

Albashish, D., Sahran, S., Abdullah, A., Alweshah, M. & Adam, A., 1 Apr 2018, In : Journal of Information and Communication Technology. 17, 2, p. 323-346 24 p.

Research output: Contribution to journalArticle

Grading
Multi-class
Classifiers
Classifier
Binary

An efficient and robust mobile augmented reality application

Tan, S. Y., Arshad, H. & Abdullah, A., 1 Jan 2018, In : International Journal on Advanced Science, Engineering and Information Technology. 8, 4-2, p. 1672-1678 7 p.

Research output: Contribution to journalArticle

Augmented reality
Image recognition
Technology
Benchmarking
Information Management