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Journal Articles
- 2024
[j6]L. Senbagamalar
, S. Logeswari:
Genetic Clustering Algorithm-Based Feature Selection and Divergent Random Forest for Multiclass Cancer Classification Using Gene Expression Data. Int. J. Comput. Intell. Syst. 17(1): 23 (2024)- [j5]K. Dhana Shree, S. Logeswari:
ODRNN: optimized deep recurrent neural networks for automatic detection of leukaemia. Signal Image Video Process. 18(5): 4157-4173 (2024) - 2023
- [j4]G. Srinitya, D. Sharmila, S. Logeswari, S. Daniel Madan Raja:
Automated SAR Image Segmentation and Classification Using Modified Deep Learning. Int. J. Pattern Recognit. Artif. Intell. 37(1): 2252027:1-2252027:35 (2023) - [j3]L. Senbagamalar, S. Logeswari:
Kernel-Induced Matriarch Path Tracking Elephant Herding Optimization Technique for Identification and Classification of Cancer Types Using Support Vector Machines. Int. J. Pattern Recognit. Artif. Intell. 37(16): 2350034:1-2350034:23 (2023) - 2022
- [j2]G. Srinitya, D. Sharmila, S. Logeswari, S. Daniel Madan Raja:
Certain investigations on image segmentation algorithms on synthetic aperture radar images and classification using convolution neural network. Concurr. Comput. Pract. Exp. 34(10) (2022) - 2021
- [j1]D. Santhakumar, S. Logeswari:
Hybrid ant lion mutated ant colony optimizer technique for Leukemia prediction using microarray gene data. J. Ambient Intell. Humaniz. Comput. 12(2): 2965-2973 (2021)
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