Anita Murmu

According to our database, Anita Murmu authored at least 9 papers between 2021 and 2025.

Collaborative distances:

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

2025

GAN-Based Federated Adversarial Learning for Enhancing Security Towards Consumer Digital Ecosystems.

Anita Murmu, Piyush Kumar, Suyel Namasudra, Rajasekhar Reddy Manyam

IEEE Trans. Consumer Electron., February, 2025

2024

Reliable Federated Learning With GAN Model for Robust and Resilient Future Healthcare System.

Anita Murmu, Piyush Kumar, Nageswara Rao Moparthi, Suyel Namasudra, Pascal Lorenz

IEEE Trans. Netw. Serv. Manag., October, 2024

DLRFNet: deep learning with random forest network for classification and detection of malaria parasite in blood smear.

Anita Murmu, Piyush Kumar

Multim. Tools Appl., July, 2024

A novel compression-based 2D-chaotic sine map for enhancing privacy and security of biometric identification systems.

Mobashshirur Rahman, Anita Murmu, Piyush Kumar, Nageswara Rao Moparthi, Suyel Namasudra

J. Inf. Secur. Appl., February, 2024

PolySegResUNet: Polyp Segmentation Residual Unet based Model for Colonoscopy Images.

Anita Murmu, Rajiv Murmu, Piyush Kumar

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

Deep Learning Based Encoder-Decoder Model for Skin Cancer Classification.

Anita Murmu, Shipra Swati, Naween Kumar, Rajiv Murmu, Yajnaseni Dash

Proceedings of the 7th International Conference on Contemporary Computing and Informatics, 2024

2023

A novel Gateaux derivatives with efficient DCNN-Resunet method for segmenting multi-class brain tumor.

Anita Murmu, Piyush Kumar

Medical Biol. Eng. Comput., August, 2023

Diabetic Retinopathy Blood Vessel Detection Using Deep-CNN-Based Feature Extraction and Classification.

Anita Murmu, Piyush Kumar

Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2023

2021

Deep learning model-based segmentation of medical diseases from MRI and CT images.

Anita Murmu, Piyush Kumar

Proceedings of the IEEE Region 10 Conference, 2021