Tahmina Zebin
Title
Cited by
Cited by
Year
Human activity recognition with inertial sensors using a deep learning approach
T Zebin, PJ Scully, KB Ozanyan
2016 IEEE SENSORS, 1-3, 2016
722016
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
302018
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
212012
Evaluation of supervised classification algorithms for human activity recognition with inertial sensors
T Zebin, PJ Scully, KB Ozanyan
2017 IEEE SENSORS, 1-3, 2017
192017
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
182017
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
162019
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
152010
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
142019
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
92018
Inertial sensing for gait analysis and the scope for sensor fusion
T Zebin, P Scully, KB Ozanyan
2015 IEEE SENSORS, 1-4, 2015
72015
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
32020
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
32019
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
22021
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
22019
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
12019
Wearable Inertial Multi-Sensor System for Physical Activity Analysis and Classification with Machine Learning Algorithms
T Zebin
PQDT-UK & Ireland, 2018
12018
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
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Articles 1–19