Tahmina Zebin

20 papers C 2Misc 1Journal 6Unranked 11
YearRankTypeTitle / Venue / Authors
2024 J jnl
Advancing precision agriculture: domain-specific augmentations and robustness testing for convolutional neural networks in precision spraying evaluation.
Neural Comput. Appl.
Harry Rogers, Beatriz de la Iglesia, Tahmina Zebin, Grzegorz Cielniak, Ben Magri
2024 J jnl
Deep Learning for Precision Agriculture: Post-Spraying Evaluation and Deposition Estimation.
CoRR
Harry Rogers, Tahmina Zebin, Grzegorz Cielniak, Beatriz de la Iglesia, Ben Magri
2023 — conf
An Agricultural Precision Sprayer Deposit Identification System.
CASE
Harry Rogers, Beatriz de la Iglesia, Tahmina Zebin, Grzegorz Cielniak, Ben Magri
2023 — conf
An Automated Precision Spraying Evaluation System.
TAROS
Harry Rogers, Beatriz de la Iglesia, Tahmina Zebin, Grzegorz Cielniak, Ben Magri
2023 — conf
Evaluating the Use of Interpretable Quantized Convolutional Neural Networks for Resource-Constrained Deployment.
KDIR
Harry Rogers, Beatriz de la Iglesia, Tahmina Zebin
2022 J jnl
An Explainable AI-Based Intrusion Detection System for DNS Over HTTPS (DoH) Attacks.
IEEE Trans. Inf. Forensics Secur.
Tahmina Zebin, Shahadate Rezvy, Yuan Luo
2021 J jnl
COVID-19 detection and disease progression visualization: Deep learning on chest X-rays for classification and coarse localization.
Appl. Intell.
Tahmina Zebin, Shahadate Rezvy
2020 — conf
Transfer Learning For Endoscopy Disease Detection & Segmentation With Mask-RCNN Benchmark Architecture.
EndoCV@ISBI
Shahadate Rezvy, Tahmina Zebin, Barbara Braden, Wei Pang, Stephen Taylor, Xiaohong W. Gao
2019 C conf
A deep learning approach for length of stay prediction in clinical settings from medical records.
CIBCB
Tahmina Zebin, Shahadate Rezvy, Thierry J. Chaussalet
2019 Misc conf
An efficient deep learning model for intrusion classification and prediction in 5G and IoT networks.
CISS
Shahadate Rezvy, Yuan Luo, Miltos Petridis, Aboubaker Lasebae, Tahmina Zebin
2019 J jnl
Design and Implementation of a Convolutional Neural Network on an Edge Computing Smartphone for Human Activity Recognition.
IEEE Access
Tahmina Zebin, Patricia J. Scully, Niels Peek, Alexander J. Casson, Krikor B. Ozanyan
2019 C conf
Design and implementation of a deep recurrent model for prediction of readmission in urgent care using electronic health records.
CIBCB
Tahmina Zebin, Thierry J. Chaussalet
2019 — conf
Implementation of a batch normalized deep LSTM recurrent network on a smartphone for human activity recognition.
BHI
Tahmina Zebin, Ertan Balaban, Krikor B. Ozanyan, Alexander J. Casson, Niels Peek
2019 — conf
Physical activity based classification of serious mental illness group participants in the UK Biobank using ensemble dense neural networks.
EMBC
Tahmina Zebin, Niels Peek, Alexander J. Casson
2018 — conf
Human activity recognition from inertial sensor time-series using batch normalized deep LSTM recurrent networks.
EMBC
Tahmina Zebin, Matthew Sperrin, Niels Peek, Alexander J. Casson
2018 — conf
Intrusion Detection and Classification with Autoencoded Deep Neural Network.
SecITC
Shahadate Rezvy, Miltos Petridis, Aboubaker Lasebae, Tahmina Zebin
2017 — conf
Evaluation of supervised classification algorithms for human activity recognition with inertial sensors.
IEEE SENSORS
Tahmina Zebin, Patricia J. Scully, Krikor B. Ozanyan
2016 — conf
Human activity recognition with inertial sensors using a deep learning approach.
IEEE SENSORS
Tahmina Zebin, Patricia J. Scully, Krikor B. Ozanyan
2016 — conf
Inertial Sensor Based Modelling of Human Activity Classes: Feature Extraction and Multi-sensor Data Fusion Using Machine Learning Algorithms.
eHealth 360°
Tahmina Zebin, Patricia J. Scully, Krikor B. Ozanyan
2012 J jnl
Modeling and Control of a Two-link Flexible Manipulator using Fuzzy Logic and Genetic Optimization Techniques.
J. Comput.
Tahmina Zebin, M. S. Alam