Pallikonda Rajasekaran Murugan
Orcid: 0000-0001-6942-4512Affiliations:
- Kalasalingam Academy of Research and Education, School of Electronics and Electrical Technology, Krishnankoil, India
- Kalasalingam University, Department of Electronics and Communication Engineering, Krishnankoil, India
According to our database1,
Pallikonda Rajasekaran Murugan
authored at least 36 papers
between 2010 and 2024.
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Bibliography
2024
Int. J. Imaging Syst. Technol., January, 2024
2023
Hybrid D-OCapNet: Automated Multi-Class Alzheimer's Disease Classification in Brain MRI Using Hybrid Dense Optimal Capsule Network.
Int. J. Pattern Recognit. Artif. Intell., December, 2023
Development of scalable coding on encrypted images using BTC for different non-overlapping block size.
Signal Image Video Process., October, 2023
Development of scalable coding for the encryption and decryption of images using modified diagonal min-max block truncation code.
Multim. Tools Appl., March, 2023
2022
A robust hybrid fusion segmentation approach for automated tumor diagnosis and classification in brain MR images.
J. Intell. Fuzzy Syst., 2022
A novel triple-level combinational framework for brain anomaly segmentation to augment clinical diagnosis.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2022
Multiscale Laplacian graph kernel features combined with tree deep convolutional neural network for the detection of ECG arrhythmia.
Biomed. Signal Process. Control., 2022
Agnostic multimodal brain anomalies detection using a novel single-structured framework for better patient diagnosis and therapeutic planning in clinical oncology.
Biomed. Signal Process. Control., 2022
A biologically-inspired hybrid deep learning approach for brain tumor classification from magnetic resonance imaging using improved gabor wavelet transform and Elmann-BiLSTM network.
Biomed. Signal Process. Control., 2022
Minimally parametrized segmentation framework with dual metaheuristic optimisation algorithms and FCM for detection of anomalies in MR brain images.
Biomed. Signal Process. Control., 2022
A hybrid deep learning based brain tumor classification and segmentation by stationary wavelet packet transform and adaptive kernel fuzzy c means clustering.
Adv. Eng. Softw., 2022
2021
Smart Identification of Topographically Variant Anomalies in Brain Magnetic Resonance Imaging Using a Fish School-Based Fuzzy Clustering Approach.
IEEE Trans. Fuzzy Syst., 2021
A smartly designed automated map based clustering algorithm for the enhanced diagnosis of pathologies in brain MR images.
Expert Syst. J. Knowl. Eng., 2021
2020
Multim. Tools Appl., 2020
Automated unsupervised learning-based clustering approach for effective anomaly detection in brain magnetic resonance imaging (MRI).
IET Image Process., 2020
2019
Automatic segmentation of gallbladder using bio-inspired algorithm based on a spider web construction model.
J. Supercomput., 2019
Pattern Recognit. Lett., 2019
Unsupervised learning-based clustering approach for smart identification of pathologies and segmentation of tissues in brain magnetic resonance imaging.
Int. J. Imaging Syst. Technol., 2019
Analysis and classification of malignancy in pancreatic magnetic resonance images using neural network techniques.
Int. J. Imaging Syst. Technol., 2019
Tsallis entropy: as a new single feature with the least computation time for classification of epileptic seizures.
Clust. Comput., 2019
IEEE Access, 2019
2018
Development of a combinational framework to concurrently perform tissue segmentation and tumor identification in T1 - W, T2 - W, FLAIR and MPR type magnetic resonance brain images.
Expert Syst. Appl., 2018
Real time reactive power compensation for battery/photovoltaic hybrid power source for internet of hybrid electric vehicle system.
Cogn. Syst. Res., 2018
Computer-aided automated discrimination of Alzheimer's disease and its clinical progression in magnetic resonance images using hybrid clustering and game theory-based classification strategies.
Comput. Electr. Eng., 2018
Offline Analysis for Designing Electrooculogram Based Human Computer Interface Control for Paralyzed Patients.
IEEE Access, 2018
2017
Tumor detection in T1, T2, FLAIR and MPR brain images using a combination of optimization and fuzzy clustering improved by seed-based region growing algorithm.
Int. J. Imaging Syst. Technol., 2017
An automated hybrid approach using clustering and nature inspired optimization technique for improved tumor and tissue segmentation in magnetic resonance brain images.
Appl. Soft Comput., 2017
2016
An unsupervised learning method with a clustering approach for tumor identification and tissue segmentation in magnetic resonance brain images.
Appl. Soft Comput., 2016
Proceedings of the Theoretical Computer Science and Discrete Mathematics, 2016
Analysis of Particle Swarm Optimization Based 2D FIR Filter for Reduction of Additive and Multiplicative Noise in Images.
Proceedings of the Theoretical Computer Science and Discrete Mathematics, 2016
2015
Efficient image compression techniques for compressing multimodal medical images using neural network radial basis function approach.
Int. J. Imaging Syst. Technol., 2015
Int. J. Imaging Syst. Technol., 2015
2014
A complete automated algorithm for segmentation of tissues and identification of tumor region in T1, T2, and FLAIR brain images using optimization and clustering techniques.
Int. J. Imaging Syst. Technol., 2014
2013
A Novel Approach for Information Security in Ad Hoc Networks through Secure Key Management.
J. Comput. Sci., 2013
2010