Tahmina Zebin

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 17

Top Topics

Medical Records

Convolutional Neural Networks

Intrusion Detection System

Top Venues

IEEE Trans. Inf. Forensics Secur.

Publications

Harry Rogers, Beatriz de la Iglesia, Tahmina Zebin, Grzegorz Cielniak, Ben Magri
An Automated Precision Spraying Evaluation System. TAROS (2023)
Harry Rogers, Beatriz de la Iglesia, Tahmina Zebin, Grzegorz Cielniak, Ben Magri
An Agricultural Precision Sprayer Deposit Identification System. CASE (2023)
Harry Rogers, Beatriz de la Iglesia, Tahmina Zebin
Evaluating the Use of Interpretable Quantized Convolutional Neural Networks for Resource-Constrained Deployment. KDIR (2023)
Tahmina Zebin, Shahadate Rezvy, Yuan Luo
An Explainable AI-Based Intrusion Detection System for DNS Over HTTPS (DoH) Attacks. IEEE Trans. Inf. Forensics Secur. 17 (2022)
Tahmina Zebin, Shahadate Rezvy
COVID-19 detection and disease progression visualization: Deep learning on chest X-rays for classification and coarse localization. Appl. Intell. 51 (2) (2021)
Shahadate Rezvy, Tahmina Zebin, Barbara Braden, Wei Pang, Stephen Taylor, Xiaohong W. Gao
Transfer Learning For Endoscopy Disease Detection & Segmentation With Mask-RCNN Benchmark Architecture. EndoCV@ISBI (2020)
Tahmina Zebin, Patricia J. Scully, Niels Peek, Alexander J. Casson, Krikor B. Ozanyan
Design and Implementation of a Convolutional Neural Network on an Edge Computing Smartphone for Human Activity Recognition. IEEE Access 7 (2019)
Tahmina Zebin, Thierry J. Chaussalet
Design and implementation of a deep recurrent model for prediction of readmission in urgent care using electronic health records. CIBCB (2019)
Tahmina Zebin, Niels Peek, Alexander J. Casson
Physical activity based classification of serious mental illness group participants in the UK Biobank using ensemble dense neural networks. EMBC (2019)
Shahadate Rezvy, Yuan Luo, Miltos Petridis, Aboubaker Lasebae, Tahmina Zebin
An efficient deep learning model for intrusion classification and prediction in 5G and IoT networks. CISS (2019)
Tahmina Zebin, Shahadate Rezvy, Thierry J. Chaussalet
A deep learning approach for length of stay prediction in clinical settings from medical records. CIBCB (2019)
Tahmina Zebin, Ertan Balaban, Krikor B. Ozanyan, Alexander J. Casson, Niels Peek
Implementation of a batch normalized deep LSTM recurrent network on a smartphone for human activity recognition. BHI (2019)
Tahmina Zebin, Matthew Sperrin, Niels Peek, Alexander J. Casson
Human activity recognition from inertial sensor time-series using batch normalized deep LSTM recurrent networks. EMBC (2018)
Shahadate Rezvy, Miltos Petridis, Aboubaker Lasebae, Tahmina Zebin
Intrusion Detection and Classification with Autoencoded Deep Neural Network. SecITC (2018)
Tahmina Zebin, Patricia J. Scully, Krikor B. Ozanyan
Evaluation of supervised classification algorithms for human activity recognition with inertial sensors. IEEE SENSORS (2017)
Tahmina Zebin, Patricia J. Scully, Krikor B. Ozanyan
Human activity recognition with inertial sensors using a deep learning approach. IEEE SENSORS (2016)
Tahmina Zebin, Patricia J. Scully, Krikor B. Ozanyan
Inertial Sensor Based Modelling of Human Activity Classes: Feature Extraction and Multi-sensor Data Fusion Using Machine Learning Algorithms. eHealth 360° (2016)
Tahmina Zebin, M. S. Alam
Modeling and Control of a Two-link Flexible Manipulator using Fuzzy Logic and Genetic Optimization Techniques. J. Comput. 7 (3) (2012)