Gopal Chandra Jana

About Gopal Chandra Jana

Gopal Chandra Jana, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at Indian Institute of Information Technology Allahabad, specializes in the field of EEG Signal Analysis, BCI, Applied Machine Learning, Medical Image and Signal Analysis, AI in Healthcare.

His recent articles reflect a diverse array of research interests and contributions to the field:

Capsule neural network based approach for subject specific and cross-subjects seizure detection from EEG signals

A Multi-view Representation Learning Approach for Seizure Detection Over Multi-channel EEG Signals

A multi-view SVM approach for seizure detection from single channel EEG signals

Depressive and Non-depressive Tweets Classification using a Sequential Deep Learning Model

DWT-EMD Feature Level Fusion Based Approach over Multi and Single Channel EEG Signals for Seizure Detection

Capsule neural networks on spatio-temporal EEG frames for cross-subject emotion recognition

A Hybrid Method for Classification of Physical Action Using Discrete Wavelet Transform and Artificial Neural Network

Performance Estimation and Analysis Over the Supervised Learning Approaches for Motor Imagery EEG Signals Classification

Gopal Chandra Jana Information

University

Position

___

Citations(all)

234

Citations(since 2020)

232

Cited By

51

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

7

i10Index(since 2020)

7

Email

University Profile Page

Indian Institute of Information Technology Allahabad

Google Scholar

View Google Scholar Profile

Gopal Chandra Jana Skills & Research Interests

EEG Signal Analysis

BCI

Applied Machine Learning

Medical Image and Signal Analysis

AI in Healthcare

Top articles of Gopal Chandra Jana

Title

Journal

Author(s)

Publication Date

Capsule neural network based approach for subject specific and cross-subjects seizure detection from EEG signals

Multimedia Tools and Applications

Gopal Chandra Jana

Keshav Swami

Anupam Agrawal

2023/3/11

A Multi-view Representation Learning Approach for Seizure Detection Over Multi-channel EEG Signals

Shubham Chandra Joshi

Gopal Chandra Jana

Anupam Agrawal

2023/2/24

A multi-view SVM approach for seizure detection from single channel EEG signals

IETE Journal of Research

Gopal Chandra Jana

Mogullapally Sai Praneeth

Anupam Agrawal

2023/8/18

Depressive and Non-depressive Tweets Classification using a Sequential Deep Learning Model

Anupam Agrawal

Sharmistha Dey

Gopal Chandra Jana

2023/2/3

DWT-EMD Feature Level Fusion Based Approach over Multi and Single Channel EEG Signals for Seizure Detection

Diagnostics

Gopal Chandra Jana

Anupam Agrawal

Prasant Kumar Pattnaik

Mangal Sain

2022/1/27

Capsule neural networks on spatio-temporal EEG frames for cross-subject emotion recognition

Biomedical Signal Processing and Control

Gopal Chandra Jana

Anshuman Sabath

Anupam Agrawal

2021/11/18

A Hybrid Method for Classification of Physical Action Using Discrete Wavelet Transform and Artificial Neural Network

International Journal of Bioinformatics Research and Applications, Inderscience

Gopal Chandra Jana

Aleena Swatapadma

Prasant Kumar Pattnaik

2021

Performance Estimation and Analysis Over the Supervised Learning Approaches for Motor Imagery EEG Signals Classification

Gopal Chandra Jana

Shivam Shukla

Divyansh Srivastava

Anupam Agrawal

2020/9/30

EEG channel selection approach for seizure detection based on integrated BPSO and ELM

Gopal Chandra Jana

Aditya Tripathi

Anupam Agrawal

2020/2/27

A 1D-CNN-spectrogram based approach for seizure detection from EEG signal

Procedia Computer Science

Gopal Chandra Jana

Ratna Sharma

Anupam Agrawal

2020/1/1

See List of Professors in Gopal Chandra Jana University(Indian Institute of Information Technology Allahabad)

Co-Authors

H-index: 21
Anupam Agrawal

Anupam Agrawal

Indian Institute of Information Technology Allahabad

academic-engine