E. Gopalakrishnan

发表

Opportunities and challenges of launching UAVs within wooded areas

V. Sajithvariyar, R. Sivanpillai, V. Sowmya, 2019 .

Rate Dependent Transitions in Power Systems

E. Gopalakrishnan, K. Suchithra, 2018, 2018 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE).

Recurrence networks to study dynamical transitions in a turbulent combustor.

E. Gopalakrishnan, Vishnu R Unni, R. Sujith, 2017, Chaos.

Interplay between random fluctuations and rate dependent phenomena at slow passage to limit-cycle oscillations in a bistable thermoacoustic system.

J. Kurths, E. Gopalakrishnan, Vishnu R Unni, 2019, Chaos.

Experimental investigation on preconditioned rate induced tipping in a thermoacoustic system

E. Gopalakrishnan, R. Sujith, E. Surovyatkina, 2017, Scientific Reports.

A Data-Driven Model Approach for DayWise Stock Prediction

N. A. Unnithan, K. Soman, E. Gopalakrishnan, 2019, Lecture Notes in Electrical Engineering.

Influence of System Parameters on the Hysteresis Characteristics of a Horizontal Rijke Tube

E. Gopalakrishnan, R. Sujith, 2014 .

Effect of external noise on the hysteresis characteristics of a thermoacoustic system

E. Gopalakrishnan, R. Sujith, 2015, Journal of Fluid Mechanics.

Detection of Cardiac Disease with Less Number of Electrocardiogram Sensor Samples Using Chebyshev

V. Sowmya, E. Gopalakrishnan, Kritik Soman, 2022, Studies in Autonomic, Data-driven and Industrial Computing.

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

E. Gopalakrishnan, D. Govind, G. J. Lal, 2022, Circuits, Systems, and Signal Processing.

Glottal Activity Detection from the Speech Signal Using Multifractal Analysis

E. Gopalakrishnan, D. Govind, G. Jyothish Lal, 2019, Circuits, Systems, and Signal Processing.

Glottal Activity Detection from the Speech Signal Using Multifractal Analysis

G. Jyothish Lal, E. A. Gopalakrishnan, D. Govind, 2020, Circuits Syst. Signal Process..

Early warning signals for critical transitions in a thermoacoustic system

Yogita Sharma, Partha Sharathi Dutta, E. A. Gopalakrishnan, 2016, Scientific Reports.

A deep learning approach for patch-based disease diagnosis from microscopic images

Anson Simon, Ravi Vinayakumar, Viswanathan Sowmya, 2019, Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis.

Exploring fake news identification using word and sentence embeddings

K. P. Soman, E. A. Gopalakrishnan, P. SanjanasriJ., 2021, J. Intell. Fuzzy Syst..

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

K. P. Soman, R. Vinayakumar, Vijay Krishna Menon, 2017, 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

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

K. P. Soman, Rahul Krishnan Pathinarupothi, R. Vinaykumar, 2017, 2017 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).

Stochastic bifurcations in a prototypical thermoacoustic system.

E. Gopalakrishnan, R. Sujith, J. Tony, 2016, Physical review. E.

Detecting deterministic nature of pressure measurements from a turbulent combustor.

E. A. Gopalakrishnan, R. I. Sujith, J. Tony, 2015, Physical review. E, Statistical, nonlinear, and soft matter physics.

NSE Stock Market Prediction Using Deep-Learning Models

K. P. Soman, Vijay Krishna Menon, E. A. Gopalakrishnan, 2018 .

Stiffness control of cylindrical shells under axial compression using piezocomposite actuators—An experimental investigation

C. Lakshmana Rao, E. Gopalakrishnan, Arun K. Tangirala, 2017 .

Unsupervised Deep Learning Approach for the Identification of Intracranial Haemorrhage in CT Images Using PCA-Net and K-Means Algorithm

V. Sowmya, E. Gopalakrishnan, Kritik Soman, 2022, Studies in Autonomic, Data-driven and Industrial Computing.

Stock price prediction using dynamic mode decomposition

K. P. Soman, Deepthi Praveenlal Kuttichira, Vijay Krishna Menon, 2017, 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

Transferable approach for cardiac disease classification using deep learning

K. P. Soman, V. Sowmya, P. Gopika, 2020, Deep Learning Techniques for Biomedical and Health Informatics.

An Approach to Detect and Classify Defects in Cantilever Beams Using Dynamic Mode Decomposition and Machine Learning

K. P. Soman, Ajith Ramesh, E. A. Gopalakrishnan, 2020 .

Deep Learning Based Approach for Multiple Myeloma Detection

V. Sowmya, K. P. Soman, V. V. Sajith Variyar, 2020, 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT).

A Spark™ Based Client for Synchrophasor Data Stream Processing

Lars Nordström, Sasi K. Kottayil, K.P. Soman, 2018, 2018 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE).

Single Sensor Techniques for Sleep Apnea Diagnosis Using Deep Learning

P SomanK., Rahul Krishnan Pathinarupothi, R. Vinaykumar, 2017, 2017 IEEE International Conference on Healthcare Informatics (ICHI).

Modified Vgg Deep Learning Architecture For Covid-19 Classification Using Bio-Medical Images

K. P. Soman, R ANAND, V SOWMYA, 2021 .

Epoch Estimation from Emotional Speech Signals Using Variational Mode Decomposition

D. Govind, G. Jyothish Lal, E. A. Gopalakrishnan, 2018, Circuits, Systems, and Signal Processing.

Epoch Estimation from Emotional Speech Signals Using Variational Mode Decomposition

E. Gopalakrishnan, D. Govind, G. J. Lal, 2018, Circuits, systems, and signal processing.

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

D. Govind, G. Jyothish Lal, E. A. Gopalakrishnan, 2018, Circuits Syst. Signal Process..

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

E. Gopalakrishnan, Soman K.P., Vinayakumar Ravi, 2023, Eng. Appl. Artif. Intell..

Investigating the Effectiveness of DMD and its Variants for Complex Data Analysis

K. P Soman, Akshay S, E. A Gopalakrishnan, 2019, 2019 International Conference on Intelligent Computing and Control Systems (ICCS).

Early Warning Indicators for Financial Crisis During Covid-19

V. Sowmya, E. Gopalakrishnan, Kritik Soman, 2022, Communications in Computer and Information Science.

Multi-task Data Driven Modelling Based on Transfer Learned Features in Deep Learning for Biomedical Application

V. Sowmya, N. Harini, E. A. Gopalakrishnan, 2021, Innovations in Computer Science and Engineering.

Odonata identification using Customized Convolutional Neural Networks

V. Sowmya, E. Gopalakrishnan, Kritik Soman, 2022, Expert Syst. Appl..

Hybrid CFD/low-order modeling of nonlinear thermoacoustic oscillations

S. Jaensch, Wolfgang Polifke, Raman Sujith, 2016 .

Hybrid CFD/ low order modeling of thermoacoustic limit cycles

Wolfgang Polifke, Raman Sujith, E. A. Gopalakrishnan, 2015 .

Unsupervised deep learning-based disease diagnosis using medical images

V. Sowmya, E. Gopalakrishnan, Kritik Soman, 2022, Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data.

Deep Learning-Based Approach for Parkinson’s Disease Detection Using Region of Interest

Iswarya Kannoth Veetil, V. Sowmya, E. Gopalakrishnan, 2021, Intelligent Sustainable Systems.

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

K. P. Soman, V. Sowmya, E. A. Gopalakrishnan, 2020, FICTA.

Performance Improvement of Deep Learning Architectures for Phonocardiogram Signal Classification using Fast Fourier Transform

V. Sowmya, P. Gopika, K.P. Soman, 2019, 2019 9th International Conference on Advances in Computing and Communication (ICACC).

Single-layer convolution neural network for cardiac disease classification using electrocardiogram signals

V. Sowmya, K. P. Soman, P. Gopika, 2020 .

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

E. Gopalakrishnan, Paleti Nikhil Chowdary, P. Sathvika, 2023, ArXiv.

Analysis of Adversarial based Augmentation for Diabetic Retinopathy Disease Grading

V. Sowmya, K. P. Soman, V. V. Sajith Variyar, 2020, 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT).