Tahmina Zebin

发表

Inertial sensing for gait analysis and the scope for sensor fusion

Tahmina Zebin, Patricia Scully, Krikor B. Ozanyan, 2015, 2015 IEEE SENSORS.

COVID-19 detection and disease progression visualization: Deep learning on chest X-rays for classification and coarse localization

Tahmina Zebin, Shahadate Rezvy, 2020, Appl. Intell..

Intrusion Detection and Classification with Autoencoded Deep Neural Network

Aboubaker Lasebae, Miltos Petridis, Tahmina Zebin, 2018, SecITC.

An efficient deep learning model for intrusion classification and prediction in 5G and IoT networks

Aboubaker Lasebae, Yuan Luo, Miltos Petridis, 2019, 2019 53rd Annual Conference on Information Sciences and Systems (CISS).

Human activity recognition from inertial sensor time-series using batch normalized deep LSTM recurrent networks

Alexander J. Casson, Tahmina Zebin, Matthew Sperrin, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Design and Implementation of a Convolutional Neural Network on an Edge Computing Smartphone for Human Activity Recognition

Alexander J. Casson, Niels Peek, Krikor B. Ozanyan, 2019, IEEE Access.

Design and implementation of a deep recurrent model for prediction of readmission in urgent care using electronic health records

Thierry J. Chaussalet, Tahmina Zebin, T. Chaussalet, 2019, 2019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

A deep learning approach for length of stay prediction in clinical settings from medical records

Thierry J. Chaussalet, Shahadate Rezvy, Tahmina Zebin, 2019, 2019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

Physical activity based classification of serious mental illness group participants in the UK Biobank using ensemble dense neural networks

Alexander J. Casson, Tahmina Zebin, Niels Peek, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Wearable inertial multi-sensor system for physical activity analysis and classification with machine learning algorithms

Tahmina Zebin, Tahmina Zebin, 2018 .

An Explainable AI-Based Intrusion Detection System for DNS Over HTTPS (DoH) Attacks

Yuan Luo, Tahmina Zebin, Shahadate Rezvy, 2022, IEEE Transactions on Information Forensics and Security.

Evaluation of supervised classification algorithms for human activity recognition with inertial sensors

Tahmina Zebin, Krikor B. Ozanyan, Patricia J. Scully, 2017, 2017 IEEE SENSORS.

Human activity recognition with inertial sensors using a deep learning approach

Tahmina Zebin, Krikor B. Ozanyan, Patricia J Scully, 2016, 2016 IEEE SENSORS.

Evaluating the Use of Interpretable Quantized Convolutional Neural Networks for Resource-Constrained Deployment

Tahmina Zebin, B. Iglesia, Harry Rogers, 2023, KDIR.

Deep Learning for Precision Agriculture: Post-Spraying Evaluation and Deposition Estimation

Tahmina Zebin, B. Iglesia, Harry Rogers, 2024, 2409.16213.