Manjula Devi Ramasamy

According to our database, Manjula Devi Ramasamy authored at least 14 papers between 2021 and 2026.

Collaborative distances:

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

2026

Reformed histogram equalization with Tasmanian devil optimization and hybrid MDHNN-MLP for lung tumor detection.

R. Manjula Devi

Evol. Syst., February, 2026

2024

Automated diagnostic classification of diabetic retinopathy with microvascular structure of fundus images using deep learning method.

Sivapriya Gurusamy, Manjula Devi Ramasamy, Keerthika Periasamy, Praveen Velusamy

Biomed. Signal Process. Control., February, 2024

Computer-aided diagnostic model for retinal vascular diseases using graph-based attention mechanism.

G. Sivapriya, R. Manjula Devi, Keerthika Periasamy

J. Supercomput., January, 2024

A novel Adaptive Neural Network-Based Laplacian of Gaussian (AnLoG) classification algorithm for detecting diabetic retinopathy with colour retinal fundus images.

Manjula Devi Ramasamy, Keerthika Periasamy, Suresh Periasamy, Suresh Muthusamy, Ponarun Ramamoorthi, Gunasekaran Thangavel, Sreejith Sekaran, Kishor Kumar Sadasivuni, Mithra Geetha

Neural Comput. Appl., 2024

Optimized task scheduling approach with fault tolerant load balancing using multi-objective cat swarm optimization for multi-cloud environment.

P. Suresh, Keerthika Periasamy, Manjula Devi Ramasamy, G. K. Kamalam, Logeswaran K., Kishor Kumar Sadasivuni, K. Devendran

Appl. Soft Comput., 2024

Detection of Distributed Denial of Service in The Application Layer of IoT Using Machine Learning.

Nanthiya D, S. B. Gopal, R. Manjula Devi, Praveenkumar R, Vijayakumar S. D, T. Raja, L. Dharanish Sriram

Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

A Hybrid Approach for Diagnosing Diabetic Retinopathy in Retinal Fundus Images using an Adaptive Canny Edge Detection approach.

R. Manjula Devi, M. Kowsalya, P. M. Dinesh, Ponmurugan P, A Berlin, K. Kavin Kumar, M. Sangeetha, Gokul Chandrasekaran

Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

2023

An integrated network topology and deep learning model for prediction of Alzheimer disease candidate genes.

Naveen Sundar Gnanadesigan, Narmadha Dhanasegar, Manjula Devi Ramasamy, Suresh Muthusamy, Om Prava Mishra, Pugalendhi GaneshKumar, Suma Christal Mary Sundararajan, Ashokkumar Ravindaran

Soft Comput., October, 2023

IGJO: An Improved Golden Jackel Optimization Algorithm Using Local Escaping Operator for Feature Selection Problems.

R. Manjula Devi, M. Premkumar, G. Kiruthiga, R. Sowmya

Neural Process. Lett., October, 2023

Endmember Estimation Using Fuzzy Grade of Membership and Spectral Matching.

Manjula Devi Ramasamy, Kalaivani S.

IEEE Access, 2023

An Automated Multi-Level Convolutional Neural Network Approach for Classification of White Blood Cells.

M. Sangeetha, Tamizarasu K, R. Manjula Devi, Rex Macedo Arokiaraj, K. Sudha, K. Kavin Kumar

Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

MAM: Multimodel Attention Mechanism for Social Media Natural Disaster Management Tweet Classification.

M. Sangeetha, R. Manjula Devi, Bhisham Sharma, Subrata Chowdhury, Imed Ben Dhaou

Proceedings of the 20th ACS/IEEE International Conference on Computer Systems and Applications, 2023

2021

An Automatic Detection of Liver Tumor from CT Abdominal Images - A Comparative Approach.

R. Manjula Devi, A. Shenbagavalli

J. Medical Imaging Health Informatics, 2021

Multi-Disease Classification Model Using Strassen's Half of Threshold (SHoT) Training Algorithm in Healthcare Sector.

Manjula Devi Ramasamy, Keerthika Periasamy, Lalitha Krishnasamy, Rajesh Kumar Dhanaraj, Seifedine Nimer Kadry, Yunyoung Nam

IEEE Access, 2021