Tahmina Zebin
Orcid: 0000-0003-0437-0570
According to our database1,
Tahmina Zebin
authored at least 18 papers
between 2012 and 2023.
Collaborative distances:
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Bibliography
2023
Proceedings of the Towards Autonomous Robotic Systems - 24th Annual Conference, 2023
Evaluating the Use of Interpretable Quantized Convolutional Neural Networks for Resource-Constrained Deployment.
Proceedings of the 15th International Joint Conference on Knowledge Discovery, 2023
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023
2022
IEEE Trans. Inf. Forensics Secur., 2022
2021
COVID-19 detection and disease progression visualization: Deep learning on chest X-rays for classification and coarse localization.
Appl. Intell., 2021
2020
Transfer Learning For Endoscopy Disease Detection & Segmentation With Mask-RCNN Benchmark Architecture.
Proceedings of the 2nd International Workshop and Challenge on Computer Vision in Endoscopy, 2020
2019
Design and Implementation of a Convolutional Neural Network on an Edge Computing Smartphone for Human Activity Recognition.
IEEE Access, 2019
Physical activity based classification of serious mental illness group participants in the UK Biobank using ensemble dense neural networks.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
An efficient deep learning model for intrusion classification and prediction in 5G and IoT networks.
Proceedings of the 53rd Annual Conference on Information Sciences and Systems, 2019
A deep learning approach for length of stay prediction in clinical settings from medical records.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2019
Design and implementation of a deep recurrent model for prediction of readmission in urgent care using electronic health records.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2019
Implementation of a batch normalized deep LSTM recurrent network on a smartphone for human activity recognition.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019
2018
Proceedings of the Innovative Security Solutions for Information Technology and Communications, 2018
Human activity recognition from inertial sensor time-series using batch normalized deep LSTM recurrent networks.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2017
Evaluation of supervised classification algorithms for human activity recognition with inertial sensors.
Proceedings of the 2017 IEEE SENSORS, Glasgow, United Kingdom, October 29, 2017
2016
Proceedings of the 2016 IEEE SENSORS, Orlando, FL, USA, October 30 - November 3, 2016, 2016
Inertial Sensor Based Modelling of Human Activity Classes: Feature Extraction and Multi-sensor Data Fusion Using Machine Learning Algorithms.
Proceedings of the eHealth 360°, 2016
2012
Modeling and Control of a Two-link Flexible Manipulator using Fuzzy Logic and Genetic Optimization Techniques.
J. Comput., 2012