Enhancement of Deep Learning in Image Classification Performance Using VGG16 with Swish Activation Function for Breast Cancer Detection. - Debendra Muduli; Ratnakar Dash; Banshidhar Majhi (CVIP (1), 2020)

Automated breast cancer detection in digital mammograms: A moth flame optimization based ELM approach. - Debendra Muduli; Ratnakar Dash; Banshidhar Majhi (Biomed. Signal Process. Control., 2020)

Fast discrete curvelet transform and modified PSO based improved evolutionary extreme learning machine for breast cancer detection. - Debendra Muduli; Ratnakar Dash; Banshidhar Majhi (Biomed. Signal Process. Control., 2021)

Automated diagnosis of breast cancer using multi-modal datasets: A deep convolution neural network based approach. - Debendra Muduli; Ratnakar Dash; Banshidhar Majhi (Biomed. Signal Process. Control., 2022)

Software Defect Prediction Model Using AdaBoost based Random Forest Technique. - Debasish Pradhan; Debendra Muduli (ICCCNT, 2023)

Automated Diagnosis of Lumpy Skin Diseases based on Deep Learning Feature Fusion. - Ritika Raj; Simran Panda; Nitya Nitya; Devansi Patel; Debendra Muduli (ICCCNT, 2023)

Automated Diagnosis Model for Glaucoma Detection: A Deep Learning Feature Fusion and LS-SVM based Approach. - Santosh Kumar Sharma; Debendra Muduli (ICCCNT, 2023)

Deep-GlaucomaNet: A Deep Learning based Approach for Glaucoma Detection in Fundus Images. - Santosh Kumar Sharma; Debendra Muduli (ICCCNT, 2023)

An Automated Deep Learning Model for Dignosis of Alzheimer's Disease using Deep Feature Fusion. - Suraj Kumar Singh; Debendra Muduli; Nitya Kumari; Ritika Raj; Devansi Patel; Simran Panda (ICCCNT, 2023)

A Diabetes Monitoring System and Health-Medical Service Composition Model in Cloud Environment. - Santosh Kumar Sharma; Abu Taha Zamani; Ahmed Abdelsalam; Debendra Muduli; Amerah A. Alabrah; Nikhat Parveen; Sultan Munadi Alanazi (IEEE Access, 2023)

Automated Breast Cancer Detection Model: A Novel Customized AlexNet Model. - Shubhajit Das; Debendra Muduli; Rajesh Kumar Gouda; Satya Prakash Sahu; Pratik Kumar Sahu; Santosh Kumar Sharma (ICCCNT, 2024)

Customized VGG16: Enhancing Breast Cancer Diagnosis Through Deep Learning Techniques. - Rajesh Kumar Gouda; Debendra Muduli; Shubhajit Das; Satya Prakash Sahu; Pratik Kumar Sahu; Santosh Kumar Sharma (ICCCNT, 2024)

Enhanced Skin Cancer Detection Model: A Deep Learning Feature Fusion with Extreme Learning Machine Approach. - Parekh Ved Hemantkumar; Biswajeet Samal; Rudra Narayan Panda; Sk Shahid Akhtar; Debendra Muduli; Santosh Kumar Sharma (ICCCNT, 2024)

Towards Comprehensive Breast Cancer Detection: Fusion of Dense Layer Model Features. - Gadawalsa Kishor Kumar; Debendra Muduli; Kshirabdi Tanaya Rath; Durbar Sundar Ray; Santosh Kumar Sharma (ICCCNT, 2024)

Pretrained DeIT for Brain Tumor Classification: A Fine-Tuning Approach with Label Smoothing. - Shankar Singh Mahanty; Debendra Muduli; Ankur Kumari; Santosh Kumar Sharma (ICCCNT, 2024)

Enhancing DDoS Attack Detection: A Hybrid SVM-Decision Tree Ensemble Approach. - Debendra Muduli; Sandesh Bhatta; Shantanu Shookdeb; Aayush Adhikari; Aaron Sapkota; Prabhat Chaturvedi (ICCCNT, 2024)

A Novel Ensemble Technique for Diabetes Detection using LS-SVM Classifier. - Debendra Muduli; Santosh Kumar Sharma; Satya Narayan Gope; Pravir Kumar Pradhan; Avinash Kumar; Vikash Kumar (ICCCNT, 2024)

Simplifying Digital Streaming: An Innovative Cross-Platform Streaming Solution. - Debendra Muduli; Saroj Kumar Sahoo; Jayanta Kumar Mishra; Debasish Pradhan; Santosh Kumar Sharma (ICCCNT, 2024)

Automated Road Extraction from Aerial Images: A Generative Approach with W-FuseNet Model. - Debendra Muduli; Santosh Kumar Sharma; Debasish Pradhan (ICCCNT, 2024)

YOLOv8-AF: A Novel Customized YOLOv8-Accurate Fast Deep Learning Model for Enhancing Border Security in Various Global Regions. - Debendra Muduli; Aman Ujwal Toppo; Vikrant Singh; Mahendra Singh; Divy Prakash Tiwari (ICCCNT, 2024)

Enhancing Skin Cancer Diagnosis using Dermoscopic Images: A Feature Fusion based Deep Learning Approach. - Kshirabdi Tanaya Rath; Debendra Muduli; Gadawalsa Kishor Kumar; Durbar Sundar Ray; Santosh Kumar Sharma (ICCCNT, 2024)

Enhancing Skin Cancer Diagnosis with Customized InceptionV3: A Deep Learning Approach. - Satya Prakash Sahu; Debendra Muduli; Shubhajit Das; Rajesh Kumar Gouda; Pratik Kumar Sahu; Santosh Kumar Sharma (ICCCNT, 2024)

Predicting DDoS Attacks: A Machine Learning Approach using ALDDoS Dataset. - Shantanu Shookdeb; Debendra Muduli; Sandesh Bhatta; Aayush Adhikari; Aaron Sapkota; Prabhat Chaturvedi (ICCCNT, 2024)

Enhanced Heart Arrhythmia Detection Using Ensemble Learning and Statistical Wave Interval Analysis: A Proposal for Mobile Integrated Diagnostic Systems. - Shantanu Shookdeb; Ayush Raj; Sumerina Rakshit; Dyutimoy Satapathy; Prasant Kumar Das; Debendra Muduli (ICCCNT, 2024)

Enhanced Brain Tumor Detection Using a Modified EfficientNet Model with MRI Imaging. - Biswa Swarup Tripathy; Amrutanshu Rath; Debendra Muduli (ICCCNT, 2024)

Development of a Novel Hybrid MobileNet-V3 Model for Improved Tomato Disease Detection. - Ahmad Ashraf Zargar; Smaran Kar; Anuswar Mahapatra; Divya Sharma; Debendra Muduli (ICCCNT, 2024)

Empirical Evaluation of Deep Learning Techniques for Fish Disease Detection in Aquaculture Systems: A Transfer Learning and Fusion-Based Approach. - Subir Biswas; Debendra Muduli; Md Ariful Islam; Anuradha Kanade; Abu Taha Zamani; Shantanu Pandurang Kanade; Nikhat Parveen (IEEE Access, 2024)

SIDNet: A SQL Injection Detection Network for Enhancing Cybersecurity. - Debendra Muduli; Shantanu Shookdeb; Abu Taha Zamani; Surabhi Saxena; Anuradha Kanade; Nikhat Parveen; Mohammad Shameem (IEEE Access, 2024)

Refined Software Defect Prediction Using Enhanced JAYA Optimization and Extreme Learning Machine. - Debasish Pradhan; Debendra Muduli; Abu Taha Zamani; Syed Irfan Yaqoob; Sultan Munadi Alanazi; Rakesh Ranjan Kumar; Nikhat Parveen; Mohammad Shameem (IEEE Access, 2024)

An evolutionary supply chain management service model based on deep learning features for automated glaucoma detection using fundus images. - Santosh Kumar Sharma; Debendra Muduli; Rojalina Priyadarshini; Rakesh Ranjan Kumar; Abhinav Kumar 005; Jitesh Pradhan (Eng. Appl. Artif. Intell., 2024)

Deep learning-based detection and classification of acute lymphoblastic leukemia with explainable AI techniques. - Debendra Muduli; Sourav Parija; Suhani Kumari; Asmaul Hassan; Harendra S. Jangwan; Abu Taha Zamani; Sk. Mohammed Gouse; Banshidhar Majhi; Nikhat Parveen (Array, 2025)

An empirical evaluation of extreme learning machine uncertainty quantification for automated breast cancer detection. - Debendra Muduli; Rakesh Ranjan Kumar; Jitesh Pradhan; Abhinav Kumar 005 (Neural Comput. Appl., 2025)

ATwo-Stage Ensemble Feature Selection and Particle Swarm Optimization Approach for Micro-Array Data Classification in Distributed Computing Environments. - Aayush Adhikari; Sandesh Bhatta; Harendra S. Jangwan; Amit Mishra; Khair Ul Nisa; Abu Taha Zamani; Aaron Sapkota; Debendra Muduli; Nikhat Parveen (CoRR, 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. - Santosh Kumar Sharma; Debendra Muduli; Adyasha Rath; Sujata Dash; Ganapati Panda; Achyut Shankar; Dinesh Chandra Dobhal (Multim. Tools Appl., 2025)

Improving Fault Detection in Sparse Underwater Sensor Networks with K-MeansBased Distributed Algorithms. - Ruchika Padhi; Debendra Muduli; Bhabani Sankar Gouda (SN Comput. Sci., 2025)