Research Output per year
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.
- 4 Similar Profiles
Mobile phones
Engineering & Materials Science
Random Forest
Mathematics
Smartphones
Engineering & Materials Science
Semantic Web
Engineering & Materials Science
Mobile devices
Engineering & Materials Science
Feature Selection
Mathematics
Light emitting diodes
Engineering & Materials Science
Light sources
Engineering & Materials Science
Co Author Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 2016 2018
A Context Aware Prototype Application for University Students and Lecturers
Nuzhat, S., Shaikh, T. & Ismail, S., 8 Oct 2018, 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops). IEEE, p. 155-160 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Students
Wi-Fi
Mobile phones
Web services
MicroCEA: Developing a Personal Urban Smart Farming Device
Stevens, J. D. & Shaikh, T., 22 Nov 2018, 2018 2nd International Conference on Smart Grid and Smart Cities (ICSGSC). IEEE, p. 49-56 8 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
food security
action research
food
alternative agriculture
agricultural practice
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 proceeding › Conference contribution
Random Forest
Feature Selection
Feature extraction
Evaluation
evaluation
EnSense-A commonality checker for Semantic Web
Ismail, S. & Shaikh, T., 5 Oct 2017, 2017 International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC). IEEE, p. 430-435 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Semantic Web
Artificial intelligence
Application programs
Semantics
Transition from Passive Learner to Critical Evaluator through Peer-Testing of Programming Artefacts
Grov, G., Hamdan, M., Kumar, S., Maarek, M., McGregor, L., Shaikh, T., Wells, J. B. & Zantout, H., 8 Nov 2017, In : New Directions in the Teaching of Physical Sciences. 12, 1Research output: Contribution to journal › Article
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