Tahmina Zebin - RankMe

20 papers C 2Misc 1Journal 6Unranked 11

Year	Rank	Type	Title / 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