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- Y. Affejee, F. Azmat, M. Mortenson, R. Clark, “Evaluator’s role and evaluation use in STEM outreach, SEFI Journal of Engineering Education Advancement, Oct 2024 (accepted for publication).
- E.Makio, F. Azmat, B.Ahmad, R. Harrison, A.W. Colombo, “T-CHAT educational framework for teaching cyber-physical system engineering”, European Journal of Engineering Education, vol 47, Issue 4, pp. 606-635, Dec 2021.(IF=2.262,Q1)
- Y. Ye, F. Azmat, I. Adennopo, Y. Chen, R. Shi, “RF Energy Modelling Using Machine Learning for Energy Harvesting Communications Systems”, International Journal of Communication Systems, Nov 2020. (IF=1.319, Q2)
- D. Allocat, T. Hatchard, F. Azmat, K. Stansfield, D. Watson, A. Mühlenen , “Education in the Digital Age: Learning Experience in Virtual and Mixed Realities”, Journal of Educational Computing Research, Oct 2020. (IF=2.180, Q1)
- F. Azmat, Y. Zhao, Y. Chen, “New Cooperative Strategy for Cognitive Radios with Wireless Powered Primary Users”, Wiley International Journal of Communication Systems, Vol. 31, Issue 7, pp. 1-8, June 2017, (IF=1.319, Q2).
- Z. Jianwu, H. Jianchao, W. Zhendong, F. Azmat, L. Ping,” Prosodic features-based speaker verification using speaker-specific-text for short utterances”, Inderscience International Journal of Embedded Systems, Vol. 9, Issue. 3, pp. 250-261, Jan 2017. ISSN online: 1741-1076, (IF=0.75, Q2).
- C. Chen, Z. Wu, J. Zhang, P. Li, F. Azmat, “A Finger Vein Recognition Algorithm Based on Deep Learning”, Inderscience International Journal of Embedded Systems, Vol. 9, Issue. 3, pp. 250-261, Jan 2017. ISSN online: 1741-1076, (IF=0.75, Q2).
- *F. Azmat, Y. Chen, N. Stocks, “Analysis of spectrum occupancy using machine learning algorithms”, IEEE Transactions on Vehicular Technology, Vol. 65, Issue 9, pp. 6853-6860, Sept 2016. (IF=4.44, Q1)
- F. Azmat, Y. Chen, N. Stocks, “Predictive Modelling of RF energy for Wireless Powered Communications”, IEEE Communication Letters, Vol. 20, Issue 1, pp. 173-176, Jan 2016 (IF =2.72, Q2)
- F. Azmat, Y. Chen, N. Stocks, “Bio-inspired collaborative spectrum sensing and allocation for cognitive radios”, IET Communications, Vol. 9, Issue 16, pp. 1949 -1959, May 2015, (IF=1.44, Q2)