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Tahmina Zebin
Tahmina Zebin
Senior Lecturer, Brunel University London
Verified email at brunel.ac.uk - Homepage
Title
Cited by
Cited by
Year
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
1832021
Human activity recognition with inertial sensors using a deep learning approach
T Zebin, PJ Scully, KB Ozanyan
2016 IEEE sensors, 1-3, 2016
1532016
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
992018
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
922019
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
882019
An explainable AI-based intrusion detection system for DNS over HTTPS (DoH) attacks
T Zebin, S Rezvy, Y Luo
IEEE Transactions on Information Forensics and Security 17, 2339-2349, 2022
472022
Evaluation of supervised classification algorithms for human activity recognition with inertial sensors
T Zebin, PJ Scully, KB Ozanyan
2017 IEEE SENSORS, 1-3, 2017
342017
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: International Summit on eHealth, Budapest, Hungary, June 14-16 …, 2017
332017
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
322018
Modeling and Control of a Two-link Flexible Manipulator using Fuzzy Logic and Genetic Optimization Techniques.
T Zebin, MS Alam
J. Comput. 7 (3), 578-585, 2012
262012
Human activity recognition with inertial sensors using a deep learning approach. In 2016 IEEE SENSORS
T Zebin, PJ Scully, KB Ozanyan
IEEE, 2016
212016
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
192010
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
172019
Transfer learning for Endoscopy disease detection and segmentation with mask-RCNN benchmark architecture
S Rezvy, T Zebin, B Braden, W Pang, S Taylor, XW Gao
CEUR Workshop Proceedings 2595, 68-72, 2020
162020
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
162019
Progress in characterizing the human exposome: a key step for precision medicine
F Martin-Sanchez, R Bellazzi, V Casella, W Dixon, G Lopez-Campos, ...
Yearbook of medical informatics 29 (01), 115-120, 2020
132020
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
112019
Inertial sensing for gait analysis and the scope for sensor fusion
T Zebin, P Scully, KB Ozanyan
2015 IEEE SENSORS, 1-4, 2015
112015
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
42019
Wearable Inertial Multi-Sensor System for Physical Activity Analysis and Classification with Machine Learning Algorithms
T Zebin
PQDT-UK & Ireland, 2018
12018
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