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Tahmina Zebin
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2020 – today
- 2023
- [c14]Harry Rogers
, Beatriz de la Iglesia
, Tahmina Zebin
, Grzegorz Cielniak, Ben Magri:
An Agricultural Precision Sprayer Deposit Identification System. CASE 2023: 1-6 - [c13]Harry Rogers
, Beatriz de la Iglesia
, Tahmina Zebin
:
Evaluating the Use of Interpretable Quantized Convolutional Neural Networks for Resource-Constrained Deployment. KDIR 2023: 109-120 - [c12]Harry Rogers
, Beatriz de la Iglesia
, Tahmina Zebin
, Grzegorz Cielniak
, Ben Magri:
An Automated Precision Spraying Evaluation System. TAROS 2023: 26-37 - 2022
- [j4]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: 2339-2349 (2022) - 2021
- [j3]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): 1010-1021 (2021) - 2020
- [c11]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: 68-72
2010 – 2019
- 2019
- [j2]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: 133509-133520 (2019) - [c10]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: 1-4 - [c9]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: 1-5 - [c8]Tahmina Zebin
, Shahadate Rezvy, Thierry J. Chaussalet
:
A deep learning approach for length of stay prediction in clinical settings from medical records. CIBCB 2019: 1-5 - [c7]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: 1-6 - [c6]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: 1251-1254 - 2018
- [c5]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: 1-4 - [c4]Shahadate Rezvy
, Miltos Petridis
, Aboubaker Lasebae
, Tahmina Zebin
:
Intrusion Detection and Classification with Autoencoded Deep Neural Network. SecITC 2018: 142-156 - 2017
- [c3]Tahmina Zebin
, Patricia J. Scully
, Krikor B. Ozanyan:
Evaluation of supervised classification algorithms for human activity recognition with inertial sensors. IEEE SENSORS 2017: 1-3 - 2016
- [c2]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: 306-314 - [c1]Tahmina Zebin
, Patricia J. Scully
, Krikor B. Ozanyan:
Human activity recognition with inertial sensors using a deep learning approach. IEEE SENSORS 2016: 1-3 - 2012
- [j1]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): 578-585 (2012)
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last updated on 2024-05-08 21:01 CEST by the dblp team
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