Debendra Muduli

Orcid: 0000-0002-5697-3659

According to our database1, Debendra Muduli authored at least 35 papers between 2020 and 2025.

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

Timeline

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Bibliography

2025
Improving Fault Detection in Sparse Underwater Sensor Networks with K-MeansBased Distributed Algorithms.
SN Comput. Sci., August, 2025

Discrete ripplet-II transform feature extraction and metaheuristic-optimized feature selection for enhanced glaucoma detection in fundus images using least square-support vector machine.
Multim. Tools Appl., July, 2025

ATwo-Stage Ensemble Feature Selection and Particle Swarm Optimization Approach for Micro-Array Data Classification in Distributed Computing Environments.
CoRR, July, 2025

An empirical evaluation of extreme learning machine uncertainty quantification for automated breast cancer detection.
Neural Comput. Appl., April, 2025

Deep learning-based detection and classification of acute lymphoblastic leukemia with explainable AI techniques.
Array, 2025

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

SIDNet: A SQL Injection Detection Network for Enhancing Cybersecurity.
IEEE Access, 2024

Empirical Evaluation of Deep Learning Techniques for Fish Disease Detection in Aquaculture Systems: A Transfer Learning and Fusion-Based Approach.
IEEE Access, 2024

Development of a Novel Hybrid MobileNet-V3 Model for Improved Tomato Disease Detection.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Enhanced Brain Tumor Detection Using a Modified EfficientNet Model with MRI Imaging.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Enhanced Heart Arrhythmia Detection Using Ensemble Learning and Statistical Wave Interval Analysis: A Proposal for Mobile Integrated Diagnostic Systems.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Predicting DDoS Attacks: A Machine Learning Approach using ALDDoS Dataset.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Enhancing Skin Cancer Diagnosis with Customized InceptionV3: A Deep Learning Approach.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Enhancing Skin Cancer Diagnosis using Dermoscopic Images: A Feature Fusion based Deep Learning Approach.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

YOLOv8-AF: A Novel Customized YOLOv8-Accurate Fast Deep Learning Model for Enhancing Border Security in Various Global Regions.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Automated Road Extraction from Aerial Images: A Generative Approach with W-FuseNet Model.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Simplifying Digital Streaming: An Innovative Cross-Platform Streaming Solution.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

A Novel Ensemble Technique for Diabetes Detection using LS-SVM Classifier.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Enhancing DDoS Attack Detection: A Hybrid SVM-Decision Tree Ensemble Approach.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Pretrained DeIT for Brain Tumor Classification: A Fine-Tuning Approach with Label Smoothing.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Towards Comprehensive Breast Cancer Detection: Fusion of Dense Layer Model Features.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Enhanced Skin Cancer Detection Model: A Deep Learning Feature Fusion with Extreme Learning Machine Approach.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Customized VGG16: Enhancing Breast Cancer Diagnosis Through Deep Learning Techniques.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Automated Breast Cancer Detection Model: A Novel Customized AlexNet Model.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 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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