S. Graceline Jasmine

According to our database, S. Graceline Jasmine authored at least 6 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Leveraging Radiomics and Genetic Algorithms to Improve Lung Infection Diagnosis in X-Ray Images Using Machine Learning.

A. Beena Godbin, S. Graceline Jasmine

IEEE Access, 2024

2023

Trs-net tropical revolving storm disasters analysis and classification based on multispectral images using 2-d deep convolutional neural network.

Malathy Jawahar, L. Jani Anbarasi, S. Graceline Jasmine, Febin Daya John Lionel, Vinayakumar Ravi, Prasun Chakrabarti

Multim. Tools Appl., December, 2023

Screening of COVID-19 Based on GLCM Features from CT Images Using Machine Learning Classifiers.

A. Beena Godbin, S. Graceline Jasmine

SN Comput. Sci., March, 2023

2022

Diabetic Retinopathy Classification Using CNN and Hybrid Deep Convolutional Neural Networks.

Yasashvini R., M. Vergin Raja Sarobin, Rukmani Panjanathan, S. Graceline Jasmine, L. Jani Anbarasi

Symmetry, 2022

Computer-aided diagnosis of COVID-19 from chest X-ray images using histogram-oriented gradient features and Random Forest classifier.

Malathy Jawahar, Prassanna Jayachandran, Vinayakumar Ravi, L. Jani Anbarasi, S. Graceline Jasmine, Manikandan Ramachandran, Ramesh Sekaran, Suthendran Kannan

Multim. Tools Appl., 2022

2018

Improved pure pixel identification algorithms to determine the endmembers in hyperspectral images.

S. Graceline Jasmine, V. Pattabiraman

Comput. Electr. Eng., 2018