K. Gayathri

11 papers Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
DeeppestNet: An end-to-end framework for high-performance crop pest recognition.
Comput. Biol. Chem.
K. S. Guruprakash, P. Siva Karthik, A. Ramachandran, K. Gayathri
2024 J jnl
Automatic left ventricle segmentation via edge-shape feature-based fully convolutional neural network.
Int. J. Imaging Syst. Technol.
K. Gayathri, N. Uma Maheswari, R. Venkatesh, Ahilan Appathurai
2024 — conf
Yoga Pose Detection with Deep Learning and Computer Vision.
ICCCNT
Amisha Srivastava, K. Gayathri, Senthil Kumar Thangavel, Pullela Meghana, S. Vishvajit, B. Senthil Kumar, K. Somasundaram
2023 J jnl
Aquila Optimization with Machine Learning-Based Anomaly Detection Technique in Cyber-Physical Systems.
Comput. Syst. Sci. Eng.
A. Ramachandran, K. Gayathri, Ahmed Alkhayyat, Rami Qays Malik
2023 J jnl
Medical image watermarking technique using IWT-BSVD.
Int. J. Adv. Intell. Paradigms
Sivakannan Subramani, G. Keerthana, K. Gayathri, Jaishree Sundar
2021 J jnl
An emergency response system created to combat injuries during physical education training in a university using deep learning.
Electron. Libr.
Leilei Wang, Sowmipriya Rajendiran, K. Gayathri
2018 J jnl
A mathematical modelling on the effect of high intensity magnetic fields on pulsatile blood flow in human arteries.
Int. J. Bioinform. Res. Appl.
K. Gayathri, K. Shailendhra
2018 J jnl
Mathematical investigation of aetiology and pathogenesis of atherosclerosis in human arteries.
Int. J. Bioinform. Res. Appl.
K. Gayathri, K. Shailendhra
2015 J jnl
Double Circuit EHV Transmission Lines Fault Location with RBF Based Support Vector Machine and Reconstructed Input Scaled Conjugate Gradient Based Neural Network.
Int. J. Comput. Intell. Syst.
K. Gayathri, Narayanan Kumarappan
2011 J jnl
Fault classification approach for double circuit transmission lines using wavelet transforms.
Int. J. Model. Identif. Control.
K. Gayathri, Narayanan Kumarappan
2010 J jnl
Accurate fault location on EHV lines using both RBF based support vector machine and SCALCG based neural network.
Expert Syst. Appl.
K. Gayathri, Narayanan Kumarappan