Nooritawati Md Tahir

PeerJ Author

Summary

Nooritawati Md Tahir is a lecturer at the Faculty of Electrical Engineering, Universiti Teknologi MARA (UiTM), Selangor, Malaysia. Her research interest is in the field of Image Processing, Pattern Recognition and Computational Intelligence. She has authored and co-authored more than 250 indexed publications with SCOPUS h-index of 23. In addition, she is a Certified Trainer for Postgraduate Training in Innovation and Entrepreneurship awarded by TCD-UCD Dublin, Ireland, Stanford Faculty Fellow organised by Stanford Technology Ventures Program, Stanford University, US and Chartered Engineer (CEng) from the Institution of Engineering and Technology and Engineering Council UK as well as Senior Member (SMIEEE) of Institution of Electrical, Electronic Engineer (IEEE).

Artificial Intelligence Emerging Technologies Optimization Theory & Computation

Work details

Professor

Universiti Teknologi MARA

December 1991

College of Engineering

School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA (UiTM), Malaysia.

PeerJ Contributions

Articles 2

August 18, 2022

Intrapartum cardiotocography trace pattern pre-processing, features extraction and fetal health condition diagnoses based on RCOG guideline

Shahad Al-yousif, Ihab A. Najm, Hossam Subhi Talab, Nourah Hasan Al Qahtani, M. Alfiras, Osama YM Al-Rawi, Wisam Subhi Al-Dayyeni, Ali Amer Ahmed Alrawi, Mohannad Jabbar Mnati, Mu’taman Jarrar, Fahad Ghabban, Nael A. Al-Shareefi, Mustafa Musa Jaber, Abbadullah H. Saleh, Nooritawati Md Tahir, Huda T. Najim, Mayada Taher

https://doi.org/10.7717/peerj-cs.1050

April 27, 2021

A systematic review of automated pre-processing, feature extraction and classification of cardiotocography

Shahad Al-yousif, Ariep Jaenul, Wisam Al-Dayyeni, Ah Alamoodi, IA Najm, Nooritawati Md Tahir, Ali Amer Ahmed Alrawi, Zafer Cömert, Nael A. Al-shareefi, Abbadullah H. Saleh

https://doi.org/10.7717/peerj-cs.452