FKEE - Official Portal

FACULTY OF ELECTRICAL &
ELECTRONICS ENGINEERING

Dr. Syamimi Mardiah binti Shaharum

Biomedical Signals & Images, Artificial Intelligence, Medical Electronics

Senior Lecturer,
Faculty of Electrical and Electronics Engineering
Universiti Malaysia Pahang,
26600, Pekan, Pahang, Malaysia

Phone: +609-424-6117
email: This email address is being protected from spambots. You need JavaScript enabled to view it.

Education  |  Teaching Courses | Publications | Research & Development | Supervision 

 

Publications

 

Note: Module, Book & Chapter, Journal, and  Conference (Proceedings) 2017~latest

 1) Abdullah, A. A., & Shaharum, S. M. (2012). Lung cancer cell classification method using artificial neural network. information engineering letters2(1).

2) Shaharum, S. M., Sundaraj, K., & Palaniappan, R. (2012). A survey on automated wheeze detection systems for asthmatic patients. Bosnian journal of basic medical sciences12(4), 249.

3) Shaharum, S. M., Sundaraj, K., & Palaniappan, R. (2012, November). Tracheal sound reliability for wheeze data collection method: A review. In Control System, Computing and Engineering (ICCSCE), 2012 IEEE International Conference on (pp. 264-267). IEEE.

4) Syamimi Mardiah, S., & Sundaraj, K. (2012). Introducing the lung sounds.

5) Shaharum, S. M., & Sundaraj, K. (2014). Time and Frequency Domain Performance Comparison for Wheeze Detection Using K-Nearest Neighbor. In Applied Mechanics and Materials (Vol. 591, pp. 163-166). Trans Tech Publications.

6) Shaharum, S. M., Sundaraj, K., Palaniappan, R., & Ali, A. (2014). THE SIGNIFICANCE OF AUTOMATED SYSTEM DEVELOPMENT FOR ASTHMA DISEASE IN MALAYSIA. MoHE 2014.

7) Shaharum, S. M., Sundaraj, K., Aniza, S., Palaniappan, R., & Helmy, K. (2016, December). Classification of asthma severity levels by wheeze sound analysis. In Systems, Process and Control (ICSPC), 2016 IEEE Conference on (pp. 172-176). IEEE.