Zebin, Tahmina, Rezvy, Shahadate and Luo, Yuan (2022) An explainable AI-based intrusion detection system for DNS over HTTPS (DoH) Attacks. IEEE Transactions on Information Forensics and Security, 17. pp. 2339-2349. ISSN 1556-6013
Zebin, Tahmina and Rezvy, Shahadate (2021) COVID-19 detection and disease progression visualization: Deep learning on chest X-rays for classification and coarse localization. Applied Intelligence, 51 (2). 1010–1021. ISSN 0924-669X
Zebin, Tahmina, Scully, Patricia J., Peek, Niels, Casson, Alexander J. and Ozanyan, Krikor B. (2019) Design and implementation of a convolutional neural network on an edge computing smartphone for human activity recognition. IEEE Access, 7. pp. 133509-133520. ISSN 2169-3536
Zebin, Tahmina, Sperrin, Matthew, Peek, Niels and Casson, Alexander J. (2018) Human activity recognition from inertial sensor time-series using batch normalized deep LSTM recurrent networks. 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018. pp. 1-4. ISSN 1557-170X
Zebin, Tahmina and Alam, M. S. (2012) Modeling and control of a two-link flexible manipulator using fuzzy logic and genetic optimization techniques. Journal of Computers, 7 (3). pp. 578-585. ISSN 1796-203X
Zebin, Tahmina, Balaban, Ertan, Ozanyan, Krikor B., Casson, Alexander J. and Peek, Niels (2019) Implementation of a batch normalized deep LSTM recurrent network on a smartphone for human activity recognition. In: 2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings. 2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings . The Institute of Electrical and Electronics Engineers (IEEE), USA. ISBN 9781728108483
Rezvy, Shahadate, Luo, Yuan, Petridis, Miltos, Lasebae, Aboubaker and Zebin, Tahmina (2019) An efficient deep learning model for intrusion classification and prediction in 5G and IoT networks. In: 2019 53rd Annual Conference on Information Sciences and Systems, CISS 2019. The Institute of Electrical and Electronics Engineers (IEEE), USA. ISBN 9781728111513
Zebin, Tahmina, Scully, Patricia J. and Ozanyan, Krikor B. (2017) Evaluation of supervised classification algorithms for human activity recognition with inertial sensors. In: IEEE SENSORS 2017 - Conference Proceedings. The Institute of Electrical and Electronics Engineers (IEEE), GBR, pp. 1-3. ISBN 9781509010127
Zebin, Tahmina, Scully, Patricia J. and Ozanyan, Krikor B. (2017) Human activity recognition with inertial sensors using a deep learning approach. In: IEEE Sensors, SENSORS 2016 - Proceedings. The Institute of Electrical and Electronics Engineers (IEEE), USA. ISBN 9781479982875
Zebin, Tahmina, Ozanyan, Krikor B. and Scully, Patricia (2015) Inertial sensing for gait analysis and the scope for sensor fusion. In: 2015 IEEE SENSORS - Proceedings. The Institute of Electrical and Electronics Engineers (IEEE), KOR. ISBN 9781479982028
Zebin, Tahmina and Alam, M. S. (2010) Dynamic modeling and fuzzy logic control of a two-link flexible manipulator using genetic optimization techniques. In: Proceedings of 2010 13th International Conference on Computer and Information Technology, ICCIT 2010. Proceedings of 2010 13th International Conference on Computer and Information Technology, ICCIT 2010 . UNSPECIFIED, BGD, pp. 418-423. ISBN 9781424484973
Rezvy, Shahadate, Zebin, Tahmina, Braden, Barbara, Pang, Wei, Taylor, Stephen and Gao, Xiahong (2020) Transfer learning for endoscopy disease detection and segmentation with mask-RCNN benchmark architecture. In: 2020 IEEE 17th International Symposium on Biomedical Imaging, 2020-04-03 - 2020-04-07, Iowa City.
Zebin, Tahmina, Peek, Niels and Casson, Alexander J. (2019) Physical activity based classification of serious mental illness group participants in the UK Biobank using ensemble dense neural networks. In: International Conference of the IEEE Engineering in Medicine and Biology Society, 2019-07-23 - 2019-07-27, City Cube Berlin.
Zebin, Tahmina and Chaussalet, Thierry J. (2019) Design and implementation of a deep recurrent model for prediction of readmission in urgent care using electronic health records. In: 2019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2019-07-09 - 2019-07-11, Siena, Italy.
Zebin, Tahmina, Rezvy, Shahadate and Chaussalet, Thierry (2019) A deep learning approach for length of stay prediction in clinical settings from medical records. In: 16th IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2019-07-09 - 2019-07-11, Certosa di Pontignano, Siena.
Scully, P. J., Cantoral-Ceballos, J., Vaughan, J., Wright, P., Zebin, T., Podd, F., Costilla-Reyes, O., Brown Wilson, C., Todd, C., Stanmore, E. and Ozanyan, K. B. (2015) Imagimat smart carpet:POF layer to detect gait and mobility. In: 24th International Conference on Plastic Optical Fibers, POF 2015, 2015-09-22 - 2015-09-24.