Anand Kumar Mukhopadhyay

According to our database, Anand Kumar Mukhopadhyay authored at least 15 papers between 2015 and 2023.

Collaborative distances:

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

2023

Heterogeneous Stacked Ensemble Framework for Surface Electromyography Signal Classification.

Suman Samui, Soumen Garai, Anindya Ghosh, Anand Kumar Mukhopadhyay

Proceedings of the Pattern Recognition and Machine Intelligence, 2023

2022

Acoustic scene analysis using analog spiking neural network.

Anand Kumar Mukhopadhyay, Naligala Moses Prabhakar, Divya Lakshmi Duggisetty, Indrajit Chakrabarti, Mrigank Sharad

Neuromorph. Comput. Eng., December, 2022

Towards Power-Efficient Design of Myoelectric Controller based on Evolutionary Computation.

Ahmed Aqeel Shaikh, Anand Kumar Mukhopadhyay, Soumyajit Poddar, Suman Samui

CoRR, 2022

Systematic realization of a fully connected deep and convolutional neural network architecture on a field programmable gate array.

Anand Kumar Mukhopadhyay, Sampurna Majumder, Indrajit Chakrabarti

Comput. Electr. Eng., 2022

2021

Power-efficient Spike Sorting Scheme Using Analog Spiking Neural Network Classifier.

Anand Kumar Mukhopadhyay, Atul Sharma, Indrajit Chakrabarti, Arindam Basu, Mrigank Sharad

ACM J. Emerg. Technol. Comput. Syst., 2021

2020

An experimental study on upper limb position invariant EMG signal classification based on deep neural network.

Anand Kumar Mukhopadhyay, Suman Samui

Biomed. Signal Process. Control., 2020

Extreme Gradient Boosting for Limb Position Invariant Myoelectric Pattern Recognition.

Suman Samui, Anand Kumar Mukhopadhyay, Pratik K. Ghadge, Gaurav Kumar

Proceedings of the IEEE International Symposium on Smart Electronic Systems, 2020

Forearm Orientation Invariant Analysis for Surface Myoelectric Pattern Recognition.

Anand Kumar Mukhopadhyay, Soumyajit Poddar, Suman Samui

Proceedings of the IEEE International Symposium on Smart Electronic Systems, 2020

2019

Intelligent Wireless Sensor Nodes for Human Footstep Sound Classification for Security Application.

Anand Kumar Mukhopadhyay, Naligala Moses Prabhakar, Divya Lakshmi Duggisetty, Indrajit Chakrabarti, Mrigank Sharad

CoRR, 2019

2018

Power efficient Spiking Neural Network Classifier based on memristive crossbar network for spike sorting application.

Anand Kumar Mukhopadhyay, Indrajit Chakrabarti, Arindam Basu, Mrigank Sharad

CoRR, 2018

Tuning Surface Defects of Mesoporous ZnO Nanorods for High Speed Humidity Sensing Application.

Avik Sett, Anand Kumar Mukhopadhyay, Monojit Mondal, Santanab Majumder, Tarun Kanti Bhattacharyya

Proceedings of the 2018 IEEE SENSORS, New Delhi, India, October 28-31, 2018, 2018

Classification of Hand Movements by Surface Myoelectric Signal Using Artificial-Spiking Neural Network Model.

Anand Kumar Mukhopadhyay, Indrajit Chakrabarti, Mrigank Sharad

Proceedings of the 2018 IEEE SENSORS, New Delhi, India, October 28-31, 2018, 2018

2017

Low Power Implantable Spike Sorting Scheme Based on Neuromorphic Classifier with Supervised Training Engine.

Rakshit Pathak, Saurav Dash, Anand Kumar Mukhopadhyay, Arindam Basu, Mrigank Sharad

Proceedings of the 2017 IEEE Computer Society Annual Symposium on VLSI, 2017

Real-time digitized neural-spike storage scheme in multiple channels for biomedical applications.

Anand Kumar Mukhopadhyay, Indrajit Chakrabarti, Mrigank Sharad

Proceedings of the 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2017

2015

High Sensitivity Biosensor using Injection Locked Spin Torque Nano-Oscillators.

Tathagata Srimani, Bibhas Manna, Anand Kumar Mukhopadhyay, Kaushik Roy, Mrigank Sharad

CoRR, 2015