Sunil Kumar Prabhakar

24 papers Journal 19Unranked 5
YearRankTypeTitle / Venue / Authors
2025 — conf
Parameter Pliable Variational Mode Decomposition and Clustering Based Gravitational Search Algorithm Techniques for Bird Sound Classification.
ICACT
Sunil Kumar Prabhakar, Dogeun Park, Young-Gi Ju, Dong-Ok Won
2024 J jnl
HM-GDM: Hybrid Measures and Graph-Dependent Modeling for Environmental Sound Classification.
Int. J. Comput. Intell. Syst.
Sunil Kumar Prabhakar, Young-Gi Ju, Dong-Ok Won
2024 J jnl
SCMs: Systematic Conglomerated Models for Audio Cough Signal Classification.
Algorithms
Sunil Kumar Prabhakar, Dong-Ok Won
2023 J jnl
Holistic Approaches to Music Genre Classification using Efficient Transfer and Deep Learning Techniques.
Expert Syst. Appl.
Sunil Kumar Prabhakar, Seong-Whan Lee
2023 J jnl
Multiple robust approaches for EEG-based driving fatigue detection and classification.
Array
Sunil Kumar Prabhakar, Dong-Ok Won
2023 J jnl
Performance comparison of bio-inspired and learning-based clustering analysis with machine learning techniques for classification of EEG signals.
Frontiers Artif. Intell.
Sunil Kumar Prabhakar, Dong-Ok Won
2023 J jnl
Phonocardiogram signal classification for the detection of heart valve diseases using robust conglomerated models.
Expert Syst. Appl.
Sunil Kumar Prabhakar, Dong-Ok Won
2022 J jnl
A Framework for Text Classification Using Evolutionary Contiguous Convolutional Neural Network and Swarm Based Deep Neural Network.
Frontiers Comput. Neurosci.
Sunil Kumar Prabhakar, Harikumar Rajaguru, Kwangsub So, Dong-Ok Won
2022 J jnl
A Holistic Strategy for Classification of Sleep Stages with EEG.
Sensors
Sunil Kumar Prabhakar, Harikumar Rajaguru, Semin Ryu, In Cheol Jeong, Dong-Ok Won
2022 J jnl
ENIC: Ensemble and Nature Inclined Classification with Sparse Depiction based Deep and Transfer Learning for Biosignal Classification.
Appl. Soft Comput.
Sunil Kumar Prabhakar, Seong-Whan Lee
2022 J jnl
Improved Sparse Representation based Robust Hybrid Feature Extraction Models with Transfer and Deep Learning for EEG Classification.
Expert Syst. Appl.
Sunil Kumar Prabhakar, Seong-Whan Lee
2022 J jnl
Sparse measures with swarm-based pliable hidden Markov model and deep learning for EEG classification.
Frontiers Comput. Neurosci.
Sunil Kumar Prabhakar, Young-Gi Ju, Harikumar Rajaguru, Dong-Ok Won
2022 J jnl
WeDea: A New EEG-Based Framework for Emotion Recognition.
IEEE J. Biomed. Health Informatics
Sun-Hee Kim, Hyung-Jeong Yang, Thi Anh Ngoc Nguyen, Sunil Kumar Prabhakar, Seong-Whan Lee
2021 J jnl
Medical Text Classification Using Hybrid Deep Learning Models with Multihead Attention.
Comput. Intell. Neurosci.
Sunil Kumar Prabhakar, Dong-Ok Won
2021 J jnl
Performance Analysis of Hybrid Deep Learning Models with Attention Mechanism Positioning and Focal Loss for Text Classification.
Sci. Program.
Sunil Kumar Prabhakar, Harikumar Rajaguru, Dong-Ok Won
2020 J jnl
A Framework for Schizophrenia EEG Signal Classification With Nature Inspired Optimization Algorithms.
IEEE Access
Sunil Kumar Prabhakar, Harikumar Rajaguru, Seong-Whan Lee
2020 J jnl
An Integrated Approach for Ovarian Cancer Classification With the Application of Stochastic Optimization.
IEEE Access
Sunil Kumar Prabhakar, Seong-Whan Lee
2020 — conf
Eigen Vector Method with Swarm and Non Swarm Intelligence Techniques for Epileptic Seizure Classification.
BCI
Sunil Kumar Prabhakar, Harikumar Rajaguru, Seong-Whan Lee
2020 J jnl
Schizophrenia EEG Signal Classification Based on Swarm Intelligence Computing.
Comput. Intell. Neurosci.
Sunil Kumar Prabhakar, Harikumar Rajaguru, Sun-Hee Kim
2020 J jnl
Transformation Based Tri-Level Feature Selection Approach Using Wavelets and Swarm Computing for Prostate Cancer Classification.
IEEE Access
Sunil Kumar Prabhakar, Seong-Whan Lee
2019 — conf
A Comprehensive Analysis of Alcoholic EEG Signals with Detrend Fluctuation Analysis and Post Classifiers.
BCI
Sunil Kumar Prabhakar, Harikumar Rajaguru, Seong-Whan Lee
2019 J jnl
Metaheuristic-Based Dimensionality Reduction and Classification Analysis of PPG Signals for Interpreting Cardiovascular Disease.
IEEE Access
Sunil Kumar Prabhakar, Harikumar Rajaguru, Seong-Whan Lee
2017 — conf
Conceptual analysis of epilepsy classification using probabilistic mixture models.
BCI
Sunil Kumar Prabhakar, Harikumar Rajaguru
2016 — conf
Expectation Maximization Based PCA and Hessian LLE with Suitable Post Classifiers for Epilepsy Classification from EEG Signals.
SoCPaR
Sunil Kumar Prabhakar, Harikumar Rajaguru