S. Graceline Jasmine

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 6

Top Topics

Diabetic Retinopathy

Hyperspectral Images

Convolutional Neural Networks

Top Venues

Multim. Tools Appl.

Comput. Electr. Eng.

SN Comput. Sci.

Publications

A. Beena Godbin, S. Graceline Jasmine
Leveraging Radiomics and Genetic Algorithms to Improve Lung Infection Diagnosis in X-Ray Images Using Machine Learning. IEEE Access 12 (2024)
Malathy Jawahar, L. Jani Anbarasi, S. Graceline Jasmine, Febin Daya John Lionel, Vinayakumar Ravi, Prasun Chakrabarti
Trs-net tropical revolving storm disasters analysis and classification based on multispectral images using 2-d deep convolutional neural network. Multim. Tools Appl. 82 (30) (2023)
A. Beena Godbin, S. Graceline Jasmine
Screening of COVID-19 Based on GLCM Features from CT Images Using Machine Learning Classifiers. SN Comput. Sci. 4 (2) (2023)
Malathy Jawahar, Prassanna Jayachandran, Vinayakumar Ravi, L. Jani Anbarasi, S. Graceline Jasmine, R. Manikandan, Ramesh Sekaran, Suthendran Kannan
Computer-aided diagnosis of COVID-19 from chest X-ray images using histogram-oriented gradient features and Random Forest classifier. Multim. Tools Appl. 81 (28) (2022)
Yasashvini R., M. Vergin Raja Sarobin, Rukmani Panjanathan, S. Graceline Jasmine, L. Jani Anbarasi
Diabetic Retinopathy Classification Using CNN and Hybrid Deep Convolutional Neural Networks. Symmetry 14 (9) (2022)
S. Graceline Jasmine, V. Pattabiraman
Improved pure pixel identification algorithms to determine the endmembers in hyperspectral images. Comput. Electr. Eng. 71 (2018)