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2020 – today
- 2024
[c11]Sakyajit Bhattacharya, Dibyendu Roy, Oishee Mazumder, Ayan Mukherjee, Nasimuddin Ahmed, K. M. Mandana, Avik Ghose, Aniruddha Sinha:
Post-Exercise Recovery Score Using Computational Cardiac Model. EUSIPCO 2024: 1721-1725- 2023
- [c10]Rohan Banerjee, Oishee Mazumder, Ayan Mukherjee, Soumitra Sinhahajari, Aniruddha Sinha:
Reconstruction of Body Surface Potential From 12-Lead ECG: A Conditional GAN Based Approach. EUSIPCO 2023: 1180-1184 - [c9]Narayan Subramanian, Atharva Joshi, Ayan Mukherjee, Praveen Joe I R:
Leveraging US Airport Performance to Propel India's Aviation Industry. ICCCNT 2023: 1-6 - [i4]Ayan Mukherjee, Rohan Banerjee, Avik Ghose:
A Novel U-Net Architecture for Denoising of Real-world Noise Corrupted Phonocardiogram Signal. CoRR abs/2310.00216 (2023) - 2022
- [c8]Rohan Banerjee, Ayan Mukherjee, Avik Ghose:
Noise Cleaning of ECG on Edge Device Using Convolutional Sparse Contractive Autoencoder. PerCom Workshops 2022: 491-496
2010 – 2019
- 2019
- [c7]Arijit Ukil, Pankaj Malhotra, Soma Bandyopadhyay, Tulika Bose, Ishan Sahu, Ayan Mukherjee, Lovekesh Vig, Arpan Pal, Gautam Shroff:
Fusing Features based on Signal Properties and TimeNet for Time Series Classification. ESANN 2019 - 2018
- [c6]Arijit Ukil, Ishan Sahu
, Chetanya Puri, Ayan Mukherjee, Rituraj Singh, Soma Bandyopadhyay, Arpan Pal:
AutoModeling: Integrated Approach for Automated Model Generation by Ensemble Selection of Feature Subset and Classifier. IJCNN 2018: 1-8 - 2017
- [c5]Shreyasi Datta, Chetanya Puri, Ayan Mukherjee, Rohan Banerjee, Anirban Dutta Choudhury, Rituraj Singh, Arijit Ukil, Soma Bandyopadhyay, Arpan Pal, Sundeep Khandelwal:
Identifying Normal, AF and other Abnormal ECG Rhythms using a Cascaded Binary Classifier. CinC 2017 - [c4]Chetanya Puri, Rituraj Singh, Soma Bandyopadhyay, Arijit Ukil, Ayan Mukherjee:
Analysis of phonocardiogram signals through proactive denoising using novel self-discriminant learner. EMBC 2017: 2753-2756 - [c3]Arijit Ukil, Soma Bandyopadhyay, Chetanya Puri, Rituraj Singh, Arpan Pal, Ayan Mukherjee:
Heartmate: automated integrated anomaly analysis for effective remote cardiac health management. ICASSP 2017: 6578-6579 - [c2]Arvind Kumar Gupta, Ayan Mukherjee, Aurobinda Routray, Rajashree Biswas:
A novel power theft detection algorithm for low voltage distribution network. IECON 2017: 3603-3608 - [i3]Snehasis Banerjee, Tanushyam Chattopadhyay, Ayan Mukherjee:
Interpretable Feature Recommendation for Signal Analytics. CoRR abs/1711.01870 (2017) - 2016
- [c1]Chetanya Puri, Arijit Ukil, Soma Bandyopadhyay, Rituraj Singh, Arpan Pal, Ayan Mukherjee, Debayan Mukherjee:
Classification of Normal and Abnormal Heart Sound Recordings through Robust Feature Selection. CinC 2016 - 2012
- [i2]Ayan Mukherjee, Anindya Pakhira, Saptarshi Das, Indranil Pan, Amitava Gupta:
Embedded Network Test-Bed for Validating Real-Time Control Algorithms to Ensure Optimal Time Domain Performance. CoRR abs/1202.5690 (2012) - [i1]Saptarshi Das, Sayan Saha, Ayan Mukherjee, Indranil Pan, Amitava Gupta:
Adaptive Gain and Order Scheduling of Optimal Fractional Order PIλDμ Controllers with Radial Basis Function Neural-Network. CoRR abs/1202.5692 (2012)
Coauthor Index
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