| Human activity recognition with inertial sensors using a deep learning approach T Zebin, PJ Scully, KB Ozanyan 2016 IEEE SENSORS, 1-3, 2016 | 72 | 2016 |
| Human activity recognition from inertial sensor time-series using batch normalized deep LSTM recurrent networks T Zebin, M Sperrin, N Peek, AJ Casson 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 30 | 2018 |
| Modeling and Control of a Two-link Flexible Manipulator using Fuzzy Logic and Genetic Optimization Techniques. T Zebin, MS Alam JCP 7 (3), 578-585, 2012 | 21 | 2012 |
| Evaluation of supervised classification algorithms for human activity recognition with inertial sensors T Zebin, PJ Scully, KB Ozanyan 2017 IEEE SENSORS, 1-3, 2017 | 19 | 2017 |
| Inertial sensor based modelling of human activity classes: Feature extraction and multi-sensor data fusion using machine learning algorithms T Zebin, PJ Scully, KB Ozanyan eHealth 360°, 306-314, 2017 | 18 | 2017 |
| An efficient deep learning model for intrusion classification and prediction in 5G and IoT networks S Rezvy, Y Luo, M Petridis, A Lasebae, T Zebin 2019 53rd Annual Conference on Information Sciences and Systems (CISS), 1-6, 2019 | 16 | 2019 |
| Dynamic modeling and fuzzy logic control of a two-link flexible manipulator using genetic optimization techniques T Zebin, MS Alam 2010 13th International Conference on Computer and Information Technology …, 2010 | 15 | 2010 |
| Design and implementation of a convolutional neural network on an edge computing smartphone for human activity recognition T Zebin, PJ Scully, N Peek, AJ Casson, KB Ozanyan IEEE Access 7, 133509-133520, 2019 | 14 | 2019 |
| Intrusion detection and classification with autoencoded deep neural network S Rezvy, M Petridis, A Lasebae, T Zebin International Conference on Security for Information Technology and …, 2018 | 9 | 2018 |
| Inertial sensing for gait analysis and the scope for sensor fusion T Zebin, P Scully, KB Ozanyan 2015 IEEE SENSORS, 1-4, 2015 | 7 | 2015 |
| Transfer learning for Endoscopy disease detection and segmentation with mask-RCNN benchmark architecture S Rezvy, T Zebin, B Braden, W Pang, S Taylor, X Gao 2020 IEEE 17th International Symposium on Biomedical Imaging, 2020 | 3 | 2020 |
| A deep learning approach for length of stay prediction in clinical settings from medical records T Zebin, S Rezvy, TJ Chaussalet 2019 IEEE Conference on Computational Intelligence in Bioinformatics and …, 2019 | 3 | 2019 |
| COVID-19 detection and disease progression visualization: Deep learning on chest X-rays for classification and coarse localization T Zebin, S Rezvy Applied Intelligence 51 (2), 1010-1021, 2021 | 2 | 2021 |
| Design and implementation of a deep recurrent model for prediction of readmission in urgent care using electronic health records T Zebin, TJ Chaussalet 2019 IEEE Conference on Computational Intelligence in Bioinformatics and …, 2019 | 2 | 2019 |
| Implementation of a batch normalized deep LSTM recurrent network on a smartphone for human activity recognition T Zebin, E Balaban, KB Ozanyan, AJ Casson, N Peek 2019 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2019 | 1 | 2019 |
| Wearable Inertial Multi-Sensor System for Physical Activity Analysis and Classification with Machine Learning Algorithms T Zebin PQDT-UK & Ireland, 2018 | 1 | 2018 |
| Physical activity based classification of serious mental illness group participants in the UK Biobank using ensemble dense neural networks T Zebin, N Peek, AJ Casson 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | | 2019 |
| iMagiMat Smart Carpet: POF Layer to Detect Gait and Mobility. PJ Scully Proceedings of 24th International Conference on Plastic Optical Fibres, 2015 | | 2015 |
| LSPIHT Algorithm for ECG Data Compression and Transmission for Telemedicine Applications T Zebin, E Farook, SZ Aman, S Rafique Dhaka University Journal of Science 60 (1), 31-36, 2012 | | 2012 |
Patricia ScullyAssociate Professor/Senior Lecturer in Sensor Instrumentation. TheVerified email at manchester.ac.uk
