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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.

  • 3 Similar Profiles
Random Forest Mathematics
Feature Selection Mathematics
Feature extraction Engineering & Materials Science
artifact Social Sciences
programming Social Sciences
evaluation Social Sciences
Evaluation Mathematics
Teaching Social Sciences

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

Research Output 2017 2019

  • 2 Conference contribution
  • 1 Article

A Business Card Reader Application for iOS devices based on Tesseract

Dangiwa, B. A. & Kumar, S. S., 18 Feb 2019, 2018 International Conference on Signal Processing and Information Security (ICSPIS). IEEE, 8642727

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Industry
Optical character recognition
Smartphones
Mobile phones
Cameras

Empirical Evaluation of the Performance of Feature Selection Approaches on Random Forest

Kumar, S. S. & Shaikh, T., 23 Oct 2017, 2017 International Conference on Computer and Applications (ICCA). IEEE, p. 227-231 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Random Forest
Feature Selection
Feature extraction
Evaluation
evaluation
Open Access
File
artifact
programming
student
experiment
computer science

Prizes

2017/18 Teaching Excellence Awards (Global Learning and Teaching Award, Highly Commended))

Manuel Maarek (Recipient), Mohammad Mahmoud Mohammad Hamdan (Recipient), Smitha Kumar (Recipient), Talal Shaikh (Recipient), Joseph Brian Wells (Recipient) & Hind Zantout (Recipient), 21 May 2018

Prize: Prize (including medals and awards)

Teaching
learning
assistant
Malaysia
experience