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ORCIDSunil Kumar Prabhakar
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2020 – today
- 2024
[j19]Sunil Kumar Prabhakar, Dong-Ok Won
:
SCMs: Systematic Conglomerated Models for Audio Cough Signal Classification. Algorithms 17(7): 302 (2024)- [j18]Sunil Kumar Prabhakar, Young-Gi Ju, Dong-Ok Won:
HM-GDM: Hybrid Measures and Graph-Dependent Modeling for Environmental Sound Classification. Int. J. Comput. Intell. Syst. 17(1): 212 (2024) - 2023
- [j17]Sunil Kumar Prabhakar, Dong-Ok Won:
Multiple robust approaches for EEG-based driving fatigue detection and classification. Array 19: 100320 (2023) - [j16]Sunil Kumar Prabhakar, Seong-Whan Lee:
Holistic Approaches to Music Genre Classification using Efficient Transfer and Deep Learning Techniques. Expert Syst. Appl. 211: 118636 (2023) - [j15]Sunil Kumar Prabhakar, Dong-Ok Won:
Phonocardiogram signal classification for the detection of heart valve diseases using robust conglomerated models. Expert Syst. Appl. 221: 119720 (2023) - [j14]Sunil Kumar Prabhakar, Dong-Ok Won:
Performance comparison of bio-inspired and learning-based clustering analysis with machine learning techniques for classification of EEG signals. Frontiers Artif. Intell. 6 (2023) - 2022
- [j13]Sunil Kumar Prabhakar, Seong-Whan Lee:
ENIC: Ensemble and Nature Inclined Classification with Sparse Depiction based Deep and Transfer Learning for Biosignal Classification. Appl. Soft Comput. 117: 108416 (2022) - [j12]Sunil Kumar Prabhakar, Seong-Whan Lee:
Improved Sparse Representation based Robust Hybrid Feature Extraction Models with Transfer and Deep Learning for EEG Classification. Expert Syst. Appl. 198: 116783 (2022) - [j11]Sunil Kumar Prabhakar, Young-Gi Ju, Harikumar Rajaguru, Dong-Ok Won:
Sparse measures with swarm-based pliable hidden Markov model and deep learning for EEG classification. Frontiers Comput. Neurosci. 16 (2022) - [j10]Sunil Kumar Prabhakar, Harikumar Rajaguru, Kwangsub So, Dong-Ok Won:
A Framework for Text Classification Using Evolutionary Contiguous Convolutional Neural Network and Swarm Based Deep Neural Network. Frontiers Comput. Neurosci. 16 (2022) - [j9]Sunil Kumar Prabhakar, Harikumar Rajaguru, Semin Ryu, In Cheol Jeong, Dong-Ok Won:
A Holistic Strategy for Classification of Sleep Stages with EEG. Sensors 22(9): 3557 (2022) - [j8]Sun-Hee Kim, Hyung-Jeong Yang, Thi Anh Ngoc Nguyen, Sunil Kumar Prabhakar, Seong-Whan Lee:
WeDea: A New EEG-Based Framework for Emotion Recognition. IEEE J. Biomed. Health Informatics 26(1): 264-275 (2022) - 2021
- [j7]Sunil Kumar Prabhakar, Dong-Ok Won:
Medical Text Classification Using Hybrid Deep Learning Models with Multihead Attention. Comput. Intell. Neurosci. 2021: 9425655:1-9425655:16 (2021) - [j6]Sunil Kumar Prabhakar, Harikumar Rajaguru, Dong-Ok Won:
Performance Analysis of Hybrid Deep Learning Models with Attention Mechanism Positioning and Focal Loss for Text Classification. Sci. Program. 2021: 2420254:1-2420254:12 (2021) - 2020
- [j5]Sunil Kumar Prabhakar, Harikumar Rajaguru, Seong-Whan Lee:
A Framework for Schizophrenia EEG Signal Classification With Nature Inspired Optimization Algorithms. IEEE Access 8: 39875-39897 (2020) - [j4]Sunil Kumar Prabhakar, Seong-Whan Lee:
Transformation Based Tri-Level Feature Selection Approach Using Wavelets and Swarm Computing for Prostate Cancer Classification. IEEE Access 8: 127462-127476 (2020) - [j3]Sunil Kumar Prabhakar, Seong-Whan Lee:
An Integrated Approach for Ovarian Cancer Classification With the Application of Stochastic Optimization. IEEE Access 8: 127866-127882 (2020) - [j2]Sunil Kumar Prabhakar, Harikumar Rajaguru, Sun-Hee Kim:
Schizophrenia EEG Signal Classification Based on Swarm Intelligence Computing. Comput. Intell. Neurosci. 2020: 8853835:1-8853835:14 (2020) - [c4]Sunil Kumar Prabhakar, Harikumar Rajaguru, Seong-Whan Lee:
Eigen Vector Method with Swarm and Non Swarm Intelligence Techniques for Epileptic Seizure Classification. BCI 2020: 1-6
2010 – 2019
- 2019
- [j1]Sunil Kumar Prabhakar, Harikumar Rajaguru, Seong-Whan Lee:
Metaheuristic-Based Dimensionality Reduction and Classification Analysis of PPG Signals for Interpreting Cardiovascular Disease. IEEE Access 7: 165181-165206 (2019) - [c3]Sunil Kumar Prabhakar, Harikumar Rajaguru, Seong-Whan Lee:
A Comprehensive Analysis of Alcoholic EEG Signals with Detrend Fluctuation Analysis and Post Classifiers. BCI 2019: 1-6 - 2017
- [c2]Sunil Kumar Prabhakar, Harikumar Rajaguru:
Conceptual analysis of epilepsy classification using probabilistic mixture models. BCI 2017: 81-84 - 2016
- [c1]Sunil Kumar Prabhakar, Harikumar Rajaguru:
Expectation Maximization Based PCA and Hessian LLE with Suitable Post Classifiers for Epilepsy Classification from EEG Signals. SoCPaR 2016: 364-374
Coauthor Index
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last updated on 2024-09-21 02:39 CEST by the dblp team
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