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Petchiammal Marimuthu
Petchiammal Marimuthu
Research Scholar, Department of Computer Science and Engineering, Manonmaniam Sundaranar University
Verified email at msuniv.ac.in
Title
Cited by
Cited by
Year
Paddy doctor: A visual image dataset for automated paddy disease classification and benchmarking
Petchiammal, B Kiruba, Murugan, P Arjunan
Proceedings of the 6th Joint International Conference on Data Science …, 2023
152023
Paddy Doctor: a visual image dataset for paddy disease classification
D Murugan
arXiv preprint arXiv:2205.11108, 2022
92022
Modified low energy adaptive clustering hierarchy for heterogeneous wireless sensor network
C Divya, N Krishnan, A Petchiammal
International Journal of Engineering & Technology 5 (2), 536-541, 2013
42013
PaddyNet: An Improved Deep Convolutional Neural Network for Automated Disease Identification on Visual Paddy Leaf Images
A Petchiammal, D Murugan, KS Briskline
International Journal of Advanced Computer Science and Applications 14 (6), 2023
22023
Increase the Alive Nodes based on the Cluster Head Selection Algorithm for Heterogeneous Wireless Sensor Networks
C Divya, N Krishnan, A Petchiammal
Global Journal of Computer Science and Technology Network Web & Security 13 (9), 2013
22013
COVIDnet: An efficient deep learning model for COVID-19 diagnosis on chest CT images
KS Briskline, D Murugan, A Petchiammal
International Journal of Advanced Computer Science and Applications 13 (11), 2022
12022
Paddy Leaf diseases identification on Infrared Images based on Convolutional Neural Networks
D Murugan
arXiv preprint arXiv:2208.00031, 2022
2022
Automated COVID-19 Disease Identification on Chest -CT Images using CNN and VGG!6
PA Briskline Kiruba S, Prof Murugan D
NeuroQuantology 20 (7), 4131-4131, 2022
2022
AUTOMATED PADDY LEAF DISEASES IDENTIFICATION AND CLASSIFICATION ON INFRARED IMAGES BASED ON DEEP LEARNING
A Petchiammal
NeuroQuantology 20 (2), 478, 2022
2022
Automated COVID-19 Disease Identification on Chest-CT images using CNN and VGG16
KS Briskline, D Murugan, A Petchiammal
NeuroQuantology 20 (7), 4125, 2022
2022
Computer Aided COVID-19 Identification on CT images with Deep Learning: A review
S Briskline Kiruba, A Petchiammal, D Murugan
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Articles 1–11