Items where Author is "Zebin, Tahmina"

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Number of items: 11.

Article

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

Book Section

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. Institute of Electrical and Electronics Engineers Inc., USA. ISBN 9781728111513

Rezvy, Shahadate, Petridis, Miltos, Lasebae, Aboubaker and Zebin, Tahmina (2019) Intrusion Detection and Classification with Autoencoded Deep Neural Network. In: Innovative Security Solutions for Information Technology and Communications. Springer, pp. 142-156. ISBN 978-3-030-12942-2

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. Institute of Electrical and Electronics Engineers Inc., 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. Institute of Electrical and Electronics Engineers Inc., USA. ISBN 9781479982875

Zebin, Tahmina, Scully, Patricia J. and Ozanyan, Krikor B. (2017) Inertial sensor based modelling of human activity classes:Feature extraction and multi-sensor data fusion using machine learning algorithms. In: eHealth 360° - International Summit on eHealth, Revised Selected Papers. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST . Springer, HUN, pp. 306-314. ISBN 9783319496542

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. Institute of Electrical and Electronics Engineers Inc., KOR. ISBN 9781479982028

Conference or Workshop Item

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.

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. (In Press)

This list was generated on Sun Apr 5 12:55:53 2020 BST.