Source code of published papers
You can go here, may you find something helpful related source code to my published papers.
Source Code of Paper: "Capsule neural network based approach for subject specific and cross-subjects seizure detection from EEG signals"
Cite this Article as: Jana, G.C., Swami, K. & Agrawal, A. Capsule neural network based approach for subject specific and cross-subjects seizure detection from EEG signals. Multimed Tools Appl (2023). https://doi.org/10.1007/s11042-023-14995-w
Source Code Download link: will be uploaded soon (source code DOI under process)
Source Code of Paper: “DWT-EMD Feature Level Fusion Based Approach over Multi and Single Channel EEG Signals for Seizure Detection”, Diagnostics (MDPI), 2022, Vol. 12, Issue 2, PP. 324.
Cite this Article as: Gopal Chandra Jana, and Anupam Agrawal, et al. “DWT-EMD Feature Level Fusion Based Approach over Multi and Single Channel EEG Signals for Seizure Detection”, Diagnostics (MDPI), 2022, Vol. 12, Issue 2, PP. 324..
Source Code Download link: Click here (Note: cite the article to give due credit).
Source Code of Paper: “Capsule neural networks on spatio-temporal EEG frames for cross-subject emotion recognition”, Biomedical Signal Processing and Control (Elsevier), 2022, Vol. 72, No. B, PP. 103361.
Cite this Article as: Gopal Chandra Jana, Anshuman Sabath and Anupam Agrawal “Capsule neural networks on spatio-temporal EEG frames for cross-subject emotion recognition”, Biomedical Signal Processing and Control (Elsevier), 2022, Vol. 72, No. B, PP. 103361.
Cite this code as: Jana, Gopal Chandra, Sabath, Anshuman, & Agrawal, Anupam. (2021). Source Code of Article: Capsule neural networks on spatio-temporal EEG frames for cross-subject emotion recognition. Biomedical Signal Processing and Control (elsevier), XX(XX), XX–XX. https://doi.org/10.5281/zenodo.5688675.
Source Code DOI and Download link: (Note: cite both article and code)
Paper Title: Gopal Ch. Jana, Sai Praneeth Mogullapally; Anupam Agrawal, "A Multi-View SVM Approach for Seizure Detection from Single Channel EEG signals" IETE Journal of Research (Taylor & Francis), 2021, Vol. XX, No. XX, PP. XXX-XXX.
Journal Name: IETE Journal of Research, Taylor & Francis
Source Code DOI and Download link: (Note: cite both Article and code).
Paper Title: Gopal Ch. Jana , Anshuman Sabath and Anupam Agrawal“Performance Analysis of Supervised Machine Learning Algorithms for Epileptic Seizure Detection with high variability EEG datasets: A Comparative Study”, 2019 International Conference on Electrical, Electronics and Computer Engineering (UPCON), ALIGARH, India, 2019, pp. 1-6. DOI
Conference: UPCON2019 (6th), IEEE.
Source Code and Results: Download Link
Paper Title: Gopal Ch. Jana, Aditya Tripathi and Anupam Agrawal “EEG Channel Selection Approach for Seizure Detection Based on Integrated BPSO and ELM”, SPIN-2020.
Conference: SPIN2020 (7th), IEEE
Source Code and Results: Download Link
Paper Title: Gopal Ch. Jana , Shivam Shukla, Divyansh Srivastava and Anupam Agrawal "Performance Estimation and Analysis over the Supervised Learning Approaches for Motor Imagery EEG Signals Classification", ICICA-19.
Conference: ICICA2019 (5th), Springer.
Source Code and Results: will be uploaded soon.
Publication Page: Click here