Ayan Mukherjee

According to our database, Ayan Mukherjee authored at least 14 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A Novel U-Net Architecture for Denoising of Real-world Noise Corrupted Phonocardiogram Signal.

Ayan Mukherjee, Rohan Banerjee, Avik Ghose

CoRR, 2023

Leveraging US Airport Performance to Propel India's Aviation Industry.

Narayan Subramanian, Atharva Joshi, Ayan Mukherjee, Praveen Joe I R

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.

Rohan Banerjee, Oishee Mazumder, Ayan Mukherjee, Soumitra Sinhahajari, Aniruddha Sinha

Proceedings of the 31st European Signal Processing Conference, 2023

2022

Noise Cleaning of ECG on Edge Device Using Convolutional Sparse Contractive Autoencoder.

Rohan Banerjee, Ayan Mukherjee, Avik Ghose

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.

Arijit Ukil, Pankaj Malhotra, Soma Bandyopadhyay, Tulika Bose, Ishan Sahu, Ayan Mukherjee, Lovekesh Vig, Arpan Pal, Gautam Shroff

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.

Arijit Ukil, Ishan Sahu, Chetanya Puri, Ayan Mukherjee, Rituraj Singh, Soma Bandyopadhyay, Arpan Pal

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

Interpretable Feature Recommendation for Signal Analytics.

Snehasis Banerjee, Tanushyam Chattopadhyay, Ayan Mukherjee

CoRR, 2017

A novel power theft detection algorithm for low voltage distribution network.

Arvind Kumar Gupta, Ayan Mukherjee, Aurobinda Routray, Rajashree Biswas

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.

Arijit Ukil, Soma Bandyopadhyay, Chetanya Puri, Rituraj Singh, Arpan Pal, Ayan Mukherjee

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Analysis of phonocardiogram signals through proactive denoising using novel self-discriminant learner.

Chetanya Puri, Rituraj Singh, Soma Bandyopadhyay, Arijit Ukil, Ayan Mukherjee

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.

Shreyasi Datta, Chetanya Puri, Ayan Mukherjee, Rohan Banerjee, Anirban Dutta Choudhury, Rituraj Singh, Arijit Ukil, Soma Bandyopadhyay, Arpan Pal, Sundeep Khandelwal

Proceedings of the Computing in Cardiology, 2017

2016

Classification of Normal and Abnormal Heart Sound Recordings through Robust Feature Selection.

Chetanya Puri, Arijit Ukil, Soma Bandyopadhyay, Rituraj Singh, Arpan Pal, Ayan Mukherjee, Debayan Mukherjee

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

Saptarshi Das, Sayan Saha, Ayan Mukherjee, Indranil Pan, Amitava Gupta

CoRR, 2012

Embedded Network Test-Bed for Validating Real-Time Control Algorithms to Ensure Optimal Time Domain Performance

Ayan Mukherjee, Anindya Pakhira, Saptarshi Das, Indranil Pan, Amitava Gupta

CoRR, 2012