Ayan Mukherjee
Orcid: 0000-0002-8821-6396
According to our database1,
Ayan Mukherjee
authored at least 16 papers
between 2012 and 2024.
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Bibliography
2024
Proceedings of the 32nd European Signal Processing Conference, 2024
Personalization of a Hemodynamic Cardiac Digital Twin: An Echocardiogram based Approach.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
2023
A Novel U-Net Architecture for Denoising of Real-world Noise Corrupted Phonocardiogram Signal.
CoRR, 2023
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
Reconstruction of Body Surface Potential From 12-Lead ECG: A Conditional GAN Based Approach.
Proceedings of the 31st European Signal Processing Conference, 2023
2022
Noise Cleaning of ECG on Edge Device Using Convolutional Sparse Contractive Autoencoder.
Proceedings of the 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2022
2019
Fusing Features based on Signal Properties and TimeNet for Time Series Classification.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019
2018
AutoModeling: Integrated Approach for Automated Model Generation by Ensemble Selection of Feature Subset and Classifier.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
2017
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017
Heartmate: automated integrated anomaly analysis for effective remote cardiac health management.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Analysis of phonocardiogram signals through proactive denoising using novel self-discriminant learner.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
Identifying Normal, AF and other Abnormal ECG Rhythms using a Cascaded Binary Classifier.
Proceedings of the Computing in Cardiology, 2017
2016
Classification of Normal and Abnormal Heart Sound Recordings through Robust Feature Selection.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016
2012
Adaptive Gain and Order Scheduling of Optimal Fractional Order PIλDμ Controllers with Radial Basis Function Neural-Network
CoRR, 2012
Embedded Network Test-Bed for Validating Real-Time Control Algorithms to Ensure Optimal Time Domain Performance
CoRR, 2012