K. Gayathri - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 9 from 9

2024

Automatic left ventricle segmentation via edge-shape feature-based fully convolutional neural networkK. Gayathri, N. Uma Maheswari, R. Venkatesh 0003, Ahilan Appathurai. imst, 34(1), January 2024. [doi]

2023

Aquila Optimization with Machine Learning-Based Anomaly Detection Technique in Cyber-Physical SystemsA. Ramachandran, K. Gayathri, Ahmed Alkhayyat, Rami Qays Malik. csse, 46(2):2177-2194, 2023. [doi]

Medical image watermarking technique using IWT-BSVDSivakannan Subramani, G. Keerthana, K. Gayathri, Jaishree Sundar. ijaip, 26(3/4):258-266, 2023. [doi]

2021

An emergency response system created to combat injuries during physical education training in a university using deep learningLeiLei Wang, Sowmipriya Rajendiran, K. Gayathri. el, 39(4):505-525, 2021. [doi]

2018

Mathematical investigation of aetiology and pathogenesis of atherosclerosis in human arteriesK. Gayathri, K. Shailendhra. ijbra, 14(1/2):3-28, 2018. [doi]

A mathematical modelling on the effect of high intensity magnetic fields on pulsatile blood flow in human arteriesK. Gayathri, K. Shailendhra. ijbra, 14(1/2):70-89, 2018. [doi]

2015

Double Circuit EHV Transmission Lines Fault Location with RBF Based Support Vector Machine and Reconstructed Input Scaled Conjugate Gradient Based Neural NetworkK. Gayathri, Narayanan Kumarappan. ijcisys, 8(1):95-105, 2015. [doi]

2011

Fault classification approach for double circuit transmission lines using wavelet transformsK. Gayathri, Narayanan Kumarappan. ijmic, 12(3):253-263, 2011. [doi]

2010

Accurate fault location on EHV lines using both RBF based support vector machine and SCALCG based neural networkK. Gayathri, N. Kumarappan. eswa, 37(12):8822-8830, 2010. [doi]

Sign in or sign up to see more results.

runs on WebDSL