Supriya Supriya

Emailsupriya.supriyatorrens.eduau

Accepting PhD Students

PhD projects

Develop a real-time analysis system for the automated detection of abnormal patterns from biomedical signals. Epilepsy detection from Brain EEG signals using machine learning techniques Sleep stage classification from Brain EEG signals using machine learning techniques

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Research activity per year

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5 Article
2 Chapter
1 Conference contribution

8 results

2022
Alcoholic EEG Data Classification Using Weighted Graph-Based Technique
Supriya, S., Jan, T., Sidnal, N. & Thompson-Whiteside, S., 25 Oct 2022, International Conference on Health Information Science. Vol. 13705. p. 267-277 10 p.
Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
Car Crash Detection System using Machine Learning and Deep Learning Algorithm
Supriya, S., Shankar, S. P., Himanshu Jain, J., Narayana, L. L. & Gumalla, N., 2022, IEEE International Conference on Data Science and Information System, ICDSIS 2022. Institute of Electrical and Electronics Engineers Inc., (IEEE International Conference on Data Science and Information System, ICDSIS 2022).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
4 Citations (Scopus)
2021
Epilepsy Detection from EEG using Complex Network Techniques: A Review
Supriya, S., Siuly, S., Wang, H. & Zhang, Y., 2021, In: IEEE Reviews in Biomedical Engineering.
Research output: Contribution to journal › Article › peer-review
10 Citations (Scopus)
New feature extraction for automated detection of epileptic seizure using complex network framework
Supriya, S., Siuly, S., Wang, H. & Zhang, Y., Sept 2021, In: Applied Acoustics. 180, 108098.
Research output: Contribution to journal › Article › peer-review
13 Citations (Scopus)
2020
Automated epilepsy detection techniques from electroencephalogram signals: a review study
Supriya, S., Siuly, S., Wang, H. & Zhang, Y., 1 Dec 2020, In: Health Information Science and Systems. 8, 1, 33.
Research output: Contribution to journal › Article › peer-review
66 Citations (Scopus)
Weighted complex network based framework for epilepsy detection from EEG signals
Supriya, S., Siuly, S., Wang, H. & Zhang, Y., 1 Jan 2020, Modelling and Analysis of Active Biopotential Signals in Healthcare, Volume 1. Institute of Physics Publishing, p. 3-1-3-20
Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
5 Citations (Scopus)
2016
Automatic epilepsy detection from EEG introducing a new edge weight method in the complex network
Supriya, S., Siuly, S. & Zhang, Y., 18 Aug 2016, In: Electronics Letters. 52, 17, p. 1430-1432 3 p.
Research output: Contribution to journal › Article › peer-review
40 Citations (Scopus)
Weighted Visibility Graph with Complex Network Features in the Detection of Epilepsy
Supriya, S., Siuly, S., Wang, H., Cao, J. & Zhang, Y., 2016, In: IEEE Access. 4, p. 6554-6566 13 p., 7572884.
Research output: Contribution to journal › Article › peer-review

Open Access
146 Citations (Scopus)

Supriya Supriya

Research output

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