Deepankar Nankani

According to our database, Deepankar Nankani authored at least 11 papers between 2019 and 2022.

Collaborative distances:

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

2022

Atrial Fibrillation Classification and Prediction Explanation using Transformer Neural Network.

Deepankar Nankani, Rashmi Dutta Baruah

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

R-Peak Detection from ECG Signals Using Fractal Based Mathematical Morphological Operators.

Deepankar Nankani, Parabattina Bhagath, Rashmi Dutta Baruah, Pradip K. Das

Proceedings of the IEEE Region 10 Conference, 2021

Ventricular Arrhythmia Classification and Interpretation Using Residual Neural Network with Guided Backpropagation.

Deepankar Nankani, Rashmi Dutta Baruah

Proceedings of the IEEE Region 10 Conference, 2021

Model Compression Techniques for Atrial Fibrillation Detection on Mobile Devices.

Deepankar Nankani, Shivam Maurya, Rashmi Dutta Baruah

Proceedings of the Pattern Recognition and Machine Intelligence, 2021

Restoring Face Occluded Images Using GAN Based Inpainting with Perceptual and Contextual Losses.

Prithviraj Kanaujia, Pallabi Saikia, Deepankar Nankani

Proceedings of the Pattern Recognition and Machine Intelligence, 2021

Incorporating Demographic and Heartbeat Features with Multichannel ECG for Cardiac Abnormality Detection using Parallel CNN and GAP Network.

Deepankar Nankani, Rashmi Dutta Baruah

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020

Effective Removal of Baseline Wander from ECG Signals: A Comparative Study.

Deepankar Nankani, Rashmi Dutta Baruah

Proceedings of the Machine Learning, Image Processing, Network Security and Data Sciences, 2020

Investigating Deep Convolution Conditional GANs for Electrocardiogram Generation.

Deepankar Nankani, Rashmi Dutta Baruah

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Automatic Concurrent Arrhythmia Classification Using Deep Residual Neural Networks.

Deepankar Nankani, Pallabi Saikia, Rashmi Dutta Baruah

Proceedings of the Computing in Cardiology, 2020

2019

An End-to-End framework for automatic detection of Atrial Fibrillation using Deep Residual Learning.

Deepankar Nankani, Rashmi Dutta Baruah

Proceedings of the TENCON 2019, 2019

Seismic Signal Interpretation for Reservoir Facies Classification.

Pallabi Saikia, Deepankar Nankani, Rashmi Dutta Baruah

Proceedings of the Pattern Recognition and Machine Intelligence, 2019