Debendra Muduli

Orcid: 0000-0002-5697-3659

According to our database1, Debendra Muduli authored at least 12 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
An evolutionary supply chain management service model based on deep learning features for automated glaucoma detection using fundus images.
Eng. Appl. Artif. Intell., 2024

Refined Software Defect Prediction Using Enhanced JAYA Optimization and Extreme Learning Machine.
IEEE Access, 2024

2023
A Diabetes Monitoring System and Health-Medical Service Composition Model in Cloud Environment.
IEEE Access, 2023

An Automated Deep Learning Model for Dignosis of Alzheimer's Disease using Deep Feature Fusion.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Deep-GlaucomaNet: A Deep Learning based Approach for Glaucoma Detection in Fundus Images.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Automated Diagnosis Model for Glaucoma Detection: A Deep Learning Feature Fusion and LS-SVM based Approach.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Automated Diagnosis of Lumpy Skin Diseases based on Deep Learning Feature Fusion.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Software Defect Prediction Model Using AdaBoost based Random Forest Technique.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

2022
Automated diagnosis of breast cancer using multi-modal datasets: A deep convolution neural network based approach.
Biomed. Signal Process. Control., 2022

2021
Fast discrete curvelet transform and modified PSO based improved evolutionary extreme learning machine for breast cancer detection.
Biomed. Signal Process. Control., 2021

2020
Automated breast cancer detection in digital mammograms: A moth flame optimization based ELM approach.
Biomed. Signal Process. Control., 2020

Enhancement of Deep Learning in Image Classification Performance Using VGG16 with Swish Activation Function for Breast Cancer Detection.
Proceedings of the Computer Vision and Image Processing - 5th International Conference, 2020


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