S. N. Kumar
Orcid: 0000-0002-7254-4408Affiliations:
- Amal Jyothi College of Engineering, Department of Electrical and Electronics Engineering, Kanjirappally, KL, India
- Sathyabama Institute of Science and Technology, Department of Electronics and Communication Engineering, Chennai, TN, India (former, PhD 2019)
- Mar Ephraem College of Engineering and Technology, School of Electronics and Communication Engineering, Kanyakumari, TN, India (former)
According to our database1,
S. N. Kumar authored at least 19 papers
between 2018 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on linkedin.com
-
on orcid.org
On csauthors.net:
Bibliography
2026
StegoMed: a GAN inspired medical image steganography using non-adversarial encoder decoder for teleradiology.
Multim. Tools Appl., June, 2026
SecureFed+ a federated learning framework with adaptive gradient clipping and encrypted aggregation for credit card fraud detection.
Int. J. Mach. Learn. Cybern., May, 2026
2025
An adaptive multi-head self-attention coupled with attention filtered LSTM for advanced scene text recognition.
Int. J. Document Anal. Recognit., December, 2025
AI-Optimized Autoencoder Architecture for Secure and Efficient Brain MRI Image Encryption and Compression on EDGE Platforms.
KSII Trans. Internet Inf. Syst., October, 2025
SN Comput. Sci., 2025
2023
Wirel. Pers. Commun., 2023
Int. J. Adv. Intell. Paradigms, 2023
Fuzzy C Means Clustering Coupled with Firefly Optimization Algorithm for the Segmentation of Neurodisorder Magnetic Resonance Images.
Proceedings of the International Conference on Machine Learning and Data Engineering, 2023
Proceedings of the Intelligent Data Engineering and Analytics, 2023
Efficient Data Security Using Hybrid RSA-TWOFISH Encryption Technique on Cloud Computing.
Proceedings of the Intelligent Data Engineering and Analytics, 2023
2021
Multim. Syst., 2021
2020
An Overview of Segmentation Algorithms for the Analysis of Anomalies on Medical Images.
J. Intell. Syst., 2020
Lossless Compression of CT Images by an Improved Prediction Scheme Using Least Square Algorithm.
Circuits Syst. Signal Process., 2020
2019
Suspicious Lesion Segmentation on Brain, Mammograms and Breast MR Images Using New Optimized Spatial Feature Based Super-Pixel Fuzzy C-Means Clustering.
J. Digit. Imaging, 2019
Segmentation by Fractional Order Darwinian Particle Swarm Optimization Based Multilevel Thresholding and Improved Lossless Prediction Based Compression Algorithm for Medical Images.
IEEE Access, 2019
2018
Compression of CT Images using Contextual Vector Quantization with Simulated Annealing for Telemedicine Application.
J. Medical Syst., 2018
Proceedings of the Soft Computing for Problem Solving, 2018
An Improved Gaussian Mixture Model Based on Prior Probability Factor for MR Brain Image Segmentation.
Proceedings of the Soft Computing for Problem Solving, 2018
An Improved Fuzzy Clustering Segmentation Algorithm Based on Animal Behavior Global Optimization.
Proceedings of the Soft Computing for Problem Solving, 2018