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Journal Articles
- 2023
[j7]S. Sasikumar
, R. Pugalenthi, G. M. Sasikala, M. P. Rajakumar:
Medical Image Segmentation and Classification Using Modified DoubleU-Net and PolyNet Deep Neural Networks. Int. J. Pattern Recognit. Artif. Intell. 37(13): 2357013:1-2357013:30 (2023)- 2022
- [j6]J. Ramya, B. Uma Maheswari, M. P. Rajakumar, R. Sonia:
Alzheimer's Disease Segmentation and Classification on MRI Brain Images Using Enhanced Expectation Maximization Adaptive Histogram (EEM-AH) and Machine Learning. Inf. Technol. Control. 51(4): 786-800 (2022) - [j5]J. Ramya, M. P. Rajakumar, B. Uma Maheswari:
Deep CNN with Hybrid Binary Local Search and Particle Swarm Optimizer for Exudates Classification from Fundus Images. J. Digit. Imaging 35(1): 56-67 (2022) - [j4]B. Uma Maheswari, M. P. Rajakumar, J. Ramya:
Dynamic differential annealing-based anti-spoofing model for fingerprint detection using CNN. Neural Comput. Appl. 34(11): 8617-8633 (2022) - 2021
- [j3]B. Uma Maheswari, R. Sonia, M. P. Rajakumar, J. Ramya:
Novel Machine Learning for Human Actions Classification Using Histogram of Oriented Gradients and Sparse Representation. Inf. Technol. Control. 50(4): 686-705 (2021) - [j2]J. Ramya, M. P. Rajakumar, B. Uma Maheswari:
HPWO-LS-based deep learning approach with S-ROA-optimized optic cup segmentation for fundus image classification. Neural Comput. Appl. 33(15): 9677-9690 (2021) - [j1]M. P. Rajakumar, J. Ramya, B. Uma Maheswari:
Health monitoring and fault prediction using a lightweight deep convolutional neural network optimized by Levy flight optimization algorithm. Neural Comput. Appl. 33(19): 12513-12534 (2021)
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