E. Gopalakrishnan

According to our database, E. Gopalakrishnan authored at least 25 papers between 2017 and 2024.

Collaborative distances:

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

2024

Centralized CNN-GRU Model by Federated Learning for COVID-19 Prediction in India.

Mredulraj S. Pandianchery, V. Sowmya, E. A. Gopalakrishnan, Vinayakumar Ravi, K. P. Soman

IEEE Trans. Comput. Soc. Syst., February, 2024

Deep learning-based approach for multi-stage diagnosis of Alzheimer's disease.

Srividhya L, V. Sowmya, Vinaykumar Ravi, Gopalakrishnan E. A, Soman K. P

Multim. Tools Appl., February, 2024

Open Set Domain Adaptation for Classification of Dynamical States in Nonlinear Fluid Dynamical Systems.

S. Akshay, E. A. Gopalakrishnan, Sowmya Vishvanathan, J. Venkatramani, Dheeraj Tripathi, Jay Shankar Prasad, Sirshendu Mondal

IEEE Access, 2024

2023

Two-stage deep learning model for automate detection and classification of lung diseases.

Ganeshkumar M., Vinayakumar Ravi, V. Sowmya, E. A. Gopalakrishnan, K. P. Soman, M. Rupeshkumar

Soft Comput., November, 2023

Explainable Deep Learning-Based Approach for Multilabel Classification of Electrocardiogram.

Ganeshkumar M., Vinayakumar Ravi, V. Sowmya, Gopalakrishnan E. A, Soman K. P

IEEE Trans. Engineering Management, 2023

Transfer learning approach for pediatric pneumonia diagnosis using channel attention deep CNN architectures.

J. Arun Prakash, CR Asswin, K. S. Dharshan Kumar, Avinash Dora, Vinayakumar Ravi, V. Sowmya, E. A. Gopalakrishnan, Soman K. P.

Eng. Appl. Artif. Intell., 2023

Unleashing the Power of Dynamic Mode Decomposition and Deep Learning for Rainfall Prediction in North-East India.

Paleti Nikhil Chowdary, Sathvika P, Pranav U, Rohan S, V. Sowmya, E. A. Gopalakrishnan, Dhanya M

CoRR, 2023

2022

Identification of intracranial haemorrhage (ICH) using ResNet with data augmentation using CycleGAN and ICH segmentation using SegAN.

Ganesh Kumar M, Vinayakumar Ravi, V. Sowmya, Gopalakrishnan E. A, Soman K. P, Chinmay Chakraborty

Multim. Tools Appl., 2022

Odonata identification using Customized Convolutional Neural Networks.

Hari Theivaprakasham, S. Darshana, Vinayakumar Ravi, V. Sowmya, E. A. Gopalakrishnan, K. P. Soman

Expert Syst. Appl., 2022

A Recurrence Network Approach for Characterization and Detection of Dynamical Transitions During Human Speech Production.

G. Jyothish Lal, E. A. Gopalakrishnan, D. Govind

Circuits Syst. Signal Process., 2022

Explainable AI Framework for COVID-19 Prediction in Different Provinces of India.

Mredulraj S. Pandianchery, Gopalakrishnan E. A, V. Sowmya, Vinayakumar Ravi, Soman K. P

CoRR, 2022

2021

Exploring fake news identification using word and sentence embeddings.

Priyanga V. T, Sanjanasri J. P., Vijay Krishna Menon, E. A. Gopalakrishnan, K. P. Soman

J. Intell. Fuzzy Syst., 2021

Synthetic Data Augmentation of MRI using Generative Variational Autoencoder for Parkinson's Disease Detection.

Yamini Madan, Iswarya Kannoth Veetil, Sowmya Vishvanathan, Gopalakrishnan E. A, Soman K. P

Proceedings of the Evolution in Computational Intelligence, 2021

2020

Glottal Activity Detection from the Speech Signal Using Multifractal Analysis.

G. Jyothish Lal, E. A. Gopalakrishnan, D. Govind

Circuits Syst. Signal Process., 2020

Prediction of number of cases expected and estimation of the final size of coronavirus epidemic in India using the logistic model and genetic algorithm.

Ganesh Kumar M, Soman K. P, Gopalakrishnan E. A, Vijay Krishna Menon, V. Sowmya

CoRR, 2020

Deep Learning Based Approach for Multiple Myeloma Detection.

M. T. Vyshnav, V. Sowmya, E. A. Gopalakrishnan, V. V. Sajith Variyar, Vijay Krishna Menon, K. P. Soman

Proceedings of the 11th International Conference on Computing, 2020

Analysis of Adversarial based Augmentation for Diabetic Retinopathy Disease Grading.

Ramji Balasubramanian, V. Sowmya, E. A. Gopalakrishnan, Vijay Krishna Menon, V. V. Sajith Variyar, K. P. Soman

Proceedings of the 11th International Conference on Computing, 2020

Performance Improvement of Deep Residual Skip Convolution Neural Network for Atrial Fibrillation Classification.

Sanjana K., V. Sowmya, E. A. Gopalakrishnan, K. P. Soman

Proceedings of the Evolution in Computational Intelligence, 2020

2018

Epoch Estimation from Emotional Speech Signals Using Variational Mode Decomposition.

G. Jyothish Lal, E. A. Gopalakrishnan, D. Govind

Circuits Syst. Signal Process., 2018

Accurate Estimation of Glottal Closure Instants and Glottal Opening Instants from Electroglottographic Signal Using Variational Mode Decomposition.

G. Jyothish Lal, E. A. Gopalakrishnan, D. Govind

Circuits Syst. Signal Process., 2018

2017

Single Sensor Techniques for Sleep Apnea Diagnosis Using Deep Learning.

Rahul Krishnan Pathinarupothi, Dhara Prathap J, Ekanath Srihari Rangan, E. Gopalakrishnan, Vinaykumar R., Soman K. P

Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

Stock price prediction using LSTM, RNN and CNN-sliding window model.

Sreelekshmy Selvin, R. Vinayakumar, E. A. Gopalakrishnan, Vijay Krishna Menon, K. P. Soman

Proceedings of the 2017 International Conference on Advances in Computing, 2017

Classification of states of bi-stable oscillator using deep learning.

Rohit Mohan, E. A. Gopalakrishnan, K. P. Soman

Proceedings of the 2017 International Conference on Advances in Computing, 2017

Stock price prediction using dynamic mode decomposition.

Deepthi Praveenlal Kuttichira, E. A. Gopalakrishnan, Vijay Krishna Menon, K. P. Soman

Proceedings of the 2017 International Conference on Advances in Computing, 2017

Instantaneous heart rate as a robust feature for sleep apnea severity detection using deep learning.

Rahul Krishnan Pathinarupothi, Vinaykumar R., Ekanath Rangan, E. Gopalakrishnan, K. P. Soman

Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017