Improved Enhancement Scheme Using a RBFN Detector for Impulse Noise. - Subrajeet Mohapatra; Ratnakar Dash; Pankaj Kumar Sa; Banshidhar Majhi (ICETET, 2008)

Novel Adaptive B-Spline Filter for Hybrid Echo Cancellation. - Ratnakar Dash; Rutuparna Panda; Bibhudendra Acharya; Banshidhar Majhi (ICIIS, 2008)

Particle Swarm Optimization based Regularization for Image Restoration. - Ratnakar Dash; Banshidhar Majhi (NaBIC, 2009)

Restoration of images corrupted with blur and impulse noise. - Ratnakar Dash; Pankaj Kumar Sa; Banshidhar Majhi (ICCCS, 2011)

Spatial variant motion deblurring of images. - Ratnakar Dash; Pankaj Kumar Sa; Banshidhar Majhi (Int. J. Comput. Vis. Robotics, 2011)

Particle Swarm Optimization Based Support Vector Regression for Blind Image Restoration. - Ratnakar Dash; Pankaj Kumar Sa; Banshidhar Majhi (J. Comput. Sci. Technol., 2012)

Classification of brain MR images using discrete wavelet transform and random forests. - Deepak Ranjan Nayak; Ratnakar Dash; Banshidhar Majhi (NCVPRIPG, 2015)

Automatic Characterization of Mammograms using Fractal Texture Analysis and Fast Correlation Based Filter Method. - Shradhananda Beura; Banshidhar Majhi; Ratnakar Dash (PerMIn, 2015)

Mammogram classification using two dimensional discrete wavelet transform and gray-level co-occurrence matrix for detection of breast cancer. - Shradhananda Beura; Banshidhar Majhi; Ratnakar Dash (Neurocomputing, 2015)

Solving Multi-controller Placement Problem in Software Defined Network. - Kshira Sagar Sahoo; Bibhudatta Sahoo 001; Ratnakar Dash; Mayank Tiwary 001 (ICIT, 2016)

Shape descriptors-based generalised scheme for handwritten character recognition. - Tusar Kanti Mishra; Banshidhar Majhi; Ratnakar Dash (Int. J. Comput. Vis. Robotics, 2016)

Development of robust neighbor embedding based super-resolution scheme. - Deepasikha Mishra; Banshidhar Majhi; Pankaj Kumar Sa; Ratnakar Dash (Neurocomputing, 2016)

Brain MR image classification using two-dimensional discrete wavelet transform and AdaBoost with random forests. - Deepak Ranjan Nayak; Ratnakar Dash; Banshidhar Majhi (Neurocomputing, 2016)

Non-linear cellular automata based edge detector for optical character images. - Deepak Ranjan Nayak; Ratnakar Dash; Banshidhar Majhi; Jahangir Mohammed (Simul., 2016)

Pathological Brain Detection using Extreme Learning Machine Trained with Improved Whale Optimization Algorithm. - Deepak Ranjan Nayak; Ratnakar Dash; Banshidhar Majhi (ICAPR, 2017)

Automated pathological brain detection system: A fast discrete curvelet transform and probabilistic neural network based approach. - Deepak Ranjan Nayak; Ratnakar Dash; Banshidhar Majhi; Vijendra Prasad (Expert Syst. Appl., 2017)

Improving Resiliency in SDN using Routing Tree Algorithms. - Kshira Sagar Sahoo; Bibhudatta Sahoo 001; Ratnakar Dash; Brojo Kishore Mishra (Int. J. Knowl. Discov. Bioinform., 2017)

A Contour Descriptors-Based Generalized Scheme for Handwritten Odia Numerals Recognition. - Tusar Kanti Mishra; Banshidhar Majhi; Ratnakar Dash (J. Inf. Process. Syst., 2017)

A Gateway Virtual Network Function for InfiniBand and Ethernet Networks. - Utkal Sinha; Ratnakar Dash; Nandish Jayaram Kopri (ICDCIT, 2018)

Poster: A Learning Automata-based DDoS Attack Defense Mechanism in Software Defined Networks. - Kshira Sagar Sahoo; Mayank Tiwary 001; Sampa Sahoo; Rohit Nambiar; Bibhudatta Sahoo 001; Ratnakar Dash (MobiCom, 2018)

SCA-RELM: A New Regularized Extreme Learning Machine Based on Sine Cosine Algorithm for Automated Detection of Pathological Brain. - Deepak Ranjan Nayak; Ratnakar Dash; Zhihai Lu; Siyuan Lu 001; Banshidhar Majhi (RO-MAN, 2018)

Combining extreme learning machine with modified sine cosine algorithm for detection of pathological brain. - Deepak Ranjan Nayak; Ratnakar Dash; Banshidhar Majhi; Shuihua Wang (Comput. Electr. Eng., 2018)

An early detection of low rate DDoS attack to SDN based data center networks using information distance metrics. - Kshira Sagar Sahoo; Deepak Puthal; Mayank Tiwary 001; Joel J. P. C. Rodrigues; Bibhudatta Sahoo 001; Ratnakar Dash (Future Gener. Comput. Syst., 2018)

DSSDN: Demand-supply based load balancing in Software-Defined Wide-Area Networks. - Kshira Sagar Sahoo; Mayank Tiwary 001; Bibhudatta Sahoo 001; Ratnakar Dash; Kshirasagar Naik (Int. J. Netw. Manag., 2018)

Discrete ripplet-II transform and modified PSO based improved evolutionary extreme learning machine for pathological brain detection. - Deepak Ranjan Nayak; Ratnakar Dash; Banshidhar Majhi (Neurocomputing, 2018)

An Improved Pathological Brain Detection System Based on Two-Dimensional PCA and Evolutionary Extreme Learning Machine. - Deepak Ranjan Nayak; Ratnakar Dash; Banshidhar Majhi (J. Medical Syst., 2018)

Pathological brain detection using curvelet features and least squares SVM. - Deepak Ranjan Nayak; Ratnakar Dash; Banshidhar Majhi (Multim. Tools Appl., 2018)

Development of pathological brain detection system using Jaya optimized improved extreme learning machine and orthogonal ripplet-II transform. - Deepak Ranjan Nayak; Ratnakar Dash; Banshidhar Majhi (Multim. Tools Appl., 2018)

Hyperspectral Image Classification Using SWT and CNN. - Sandeep Kumar Ladi; Ratnakar Dash; G. K. Panda; Pradeep Kumar Ladi; Rohan Dhupar (ICIT, 2019)

Unusual Event Detection in Surveillance Video Using Transfer Learning. - Sandhya Rani Sahoo; Ratnakar Dash; Ramesh Kumar Mahapatra; Baishnabi Sahu (ICIT, 2019)

Two-Stream CNN Architecture for Anomalous Event Detection in Real World Scenarios. - Snehashis Majhi; Ratnakar Dash; Pankaj Kumar Sa (CVIP (2), 2019)

Autonomous Chess Playing Robot. - Prabin Kumar Rath; Neelam Mahapatro; Prasanmit Nath; Ratnakar Dash (RO-MAN, 2019)

Application of fast curvelet Tsallis entropy and kernel random vector functional link network for automated detection of multiclass brain abnormalities. - Deepak Ranjan Nayak; Ratnakar Dash; Banshidhar Majhi; U. Rajendra Acharya (Comput. Medical Imaging Graph., 2019)

Backward-Forward Algorithm: An Improvement towards Extreme Learning Machine. - Dibyasundar Das; Deepak Ranjan Nayak; Ratnakar Dash; Banshidhar Majhi (CoRR, 2019)

An empirical evaluation of extreme learning machine: application to handwritten character recognition. - Dibyasundar Das; Deepak Ranjan Nayak; Ratnakar Dash; Banshidhar Majhi (Multim. Tools Appl., 2019)

Toward secure software-defined networks against distributed denial of service attack. - Kshira Sagar Sahoo; Sanjaya Kumar Panda; Sampa Sahoo; Bibhudatta Sahoo 001; Ratnakar Dash (J. Supercomput., 2019)

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)

Temporal Pooling in Inflated 3DCNN for Weakly-supervised Video Anomaly Detection. - Snehashis Majhi; Ratnakar Dash; Pankaj Kumar Sa (ICCCNT, 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)

A deep stacked random vector functional link network autoencoder for diagnosis of brain abnormalities and breast cancer. - Deepak Ranjan Nayak; Ratnakar Dash; Banshidhar Majhi; Ram Bilas Pachori; Yudong Zhang 001 (Biomed. Signal Process. Control., 2020)

H-WordNet: a holistic convolutional neural network approach for handwritten word recognition. - Dibyasundar Das; Deepak Ranjan Nayak; Ratnakar Dash; Banshidhar Majhi; Yu-Dong Zhang 001 (IET Image Process., 2020)

MJCN: Multi-objective Jaya Convolutional Network for handwritten optical character recognition. - Dibyasundar Das; Deepak Ranjan Nayak; Ratnakar Dash; Banshidhar Majhi (Multim. Tools Appl., 2020)

Deep extreme learning machine with leaky rectified linear unit for multiclass classification of pathological brain images. - Deepak Ranjan Nayak; Dibyasundar Das; Ratnakar Dash; Snehashis Majhi; Banshidhar Majhi (Multim. Tools Appl., 2020)

Automated diagnosis of multi-class brain abnormalities using MRI images: A deep convolutional neural network based method. - Deepak Ranjan Nayak; Ratnakar Dash; Banshidhar Majhi (Pattern Recognit. Lett., 2020)

Automated Diagnosis of Pathological Brain Using Fast Curvelet Entropy Features. - Deepak Ranjan Nayak; Ratnakar Dash; Xiaojun Chang; Banshidhar Majhi; Sambit Bakshi (IEEE Trans. Sustain. Comput., 2020)

Weakly-supervised Joint Anomaly Detection and Classification. - Snehashis Majhi; Srijan Das; François Brémond; Ratnakar Dash; Pankaj Kumar Sa (FG, 2021)

Wavelet Based Convolutional Neural Networks for Face Anti-spoofing. - Arijeet Choudhury; Ratnakar Dash (PReMI, 2021)

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)

Ensemble of multiple CNN classifiers for HSI classification with Superpixel Smoothing. - Prasanth Sikakollu; Ratnakar Dash (Comput. Geosci., 2021)

Real-time embedded TSR using MDEffNet: An efficient compact DNN on varied multi-resolution images across multiple databases. - Banhi Sanyal; Ramesh Kumar Mohapatra; Ratnakar Dash (Int. J. Wavelets Multiresolution Inf. Process., 2021)

HybridSSCN: Analysis Of Hierarchical Feature Learning Architecture Using Blended Conv3D And DepthwiseConv2D For Hyperspectral Image Classification. - Pradeep Kumar Ladi; Kakita Murali Gopal; Ratnakar Dash; Sandeep Kumar Ladi (OCIT, 2022)

Multi-level 3DCNN with Min-Max Ranking Loss for Weakly-Supervised Video Anomaly Detection. - Snehashis Majhi; Deepak Ranjan Nayak; Ratnakar Dash; Pankaj Kumar Sa (ICONIP (7), 2022)

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)

Traffic sign recognition on Indian database using wavelet descriptors and convolutional neural network ensemble. - Banhi Sanyal; Ramesh Kumar Mohapatra; Ratnakar Dash (Concurr. Comput. Pract. Exp., 2022)

Design of Human Machine Interface through vision-based low-cost Hand Gesture Recognition system based on deep CNN. - Abir Sen; Tapas Kumar Mishra 001; Ratnakar Dash (CoRR, 2022)

A Novel Grey Wolf Optimisation based CNN Classifier for Hyperspectral Image classification. - Sandeep Kumar Ladi; G. K. Panda; Ratnakar Dash; Pradeep Kumar Ladi; Rohan Dhupar (Multim. Tools Appl., 2022)

A novel hand gesture detection and recognition system based on ensemble-based convolutional neural network. - Abir Sen; Tapas Kumar Mishra 001; Ratnakar Dash (Multim. Tools Appl., 2022)

SWTNet: hyperspectral image classification using two-stage combined shallow and deep feature extraction. - Pradeep Kumar Ladi; Kakita Murali Gopal; Ratnakar Dash; Sandeep Kumar Ladi (Neural Comput. Appl., 2022)

A novel strategy for classifying spectral-spatial shallow and deep hyperspectral image features using 1D-EWT and 3D-CNN. - Sandeep Kumar Ladi; G. K. Panda; Ratnakar Dash; Pradeep Kumar Ladi (Earth Sci. Informatics, 2022)

Performance Elevation Using Augmented Pivot Point Rotation for Kidney Stone Detection. - Gorli Santoshi; Ratnakar Dash (CVIP (3), 2023)

Modified InceptionV3 Using Soft Attention for the Grading of Diabetic Retinopathy. - Shroddha Goswami; K. Ashwini; Ratnakar Dash (ICACDS, 2023)

Grading of Diabetic Retinopathy using iterative Attentional Feature Fusion (iAFF). - Shroddha Goswami; K. Ashwini; Ratnakar Dash (ICCCNT, 2023)

A customized deep learning framework for skin lesion classification using dermoscopic images. - Sandhya Rani Sahoo; Ratnakar Dash; Ramesh Kumar Mohapatra (Comput. Animat. Virtual Worlds, 2023)

PKNNet: a novel feature learning architecture for vegetation mapping using remote sensing hyperspectral image classification. - Pradeep Kumar Ladi; Kakita Murali Gopal; Ratnakar Dash; Sandeep Kumar Ladi (Earth Sci. Informatics, 2023)

LBP and CNN feature fusion for face anti-spoofing. - Ravi Pratap Singh; Ratnakar Dash; Ramesh Kumar Mohapatra (Pattern Anal. Appl., 2023)

Correction to: A novel grey wolf optimisation based CNN classifier for hyperspectral image classification. - Sandeep Kumar Ladi; G. K. Panda; Ratnakar Dash; Pradeep Kumar Ladi; Rohan Dhupar (Multim. Tools Appl., 2023)

Grading diabetic retinopathy using multiresolution based CNN. - K. Ashwini; Ratnakar Dash (Biomed. Signal Process. Control., 2023)

Secret data sharing through coverless video steganography based on bit plane segmentation. - Sourabh Debnath; Ramesh Kumar Mohapatra; Ratnakar Dash (J. Inf. Secur. Appl., 2023)

Deep Learning-Based Hand Gesture Recognition System and Design of a Human-Machine Interface. - Abir Sen; Tapas Kumar Mishra 001; Ratnakar Dash (Neural Process. Lett., 2023)

Autonomous UAV Navigation in Indoor Corridor Environments by a Depth Estimator based on a Deep Neural Network. - Parthiv Aneesh; Ravi Pratap Singh; Ratnakar Dash (ICCCNT, 2024)

Improving Diabetic Retinopathy grading using Feature Fusion for limited data samples. - K. Ashwini; Ratnakar Dash (Comput. Electr. Eng., 2024)

A robust secret data sharing through coverless video steganography based on average DC coefficient on bit plane segmentation. - Sourabh Debnath; Ramesh Kumar Mohapatra; Ratnakar Dash (Comput. Electr. Eng., 2024)

Novel Human Machine Interface via Robust Hand Gesture Recognition System using Channel Pruned YOLOv5s Model. - Abir Sen; Tapas Kumar Mishra 001; Ratnakar Dash (CoRR, 2024)

Indian TSR for partial occlusion using GDNN. - Banhi Sanyal; Ramesh Kumar Mohapatra; Ratnakar Dash (Multim. Tools Appl., 2024)

HGR-FYOLO: a robust hand gesture recognition system for the normal and physically impaired person using frozen YOLOv5. - Abir Sen; Shubham Dombe; Tapas Kumar Mishra 001; Ratnakar Dash (Multim. Tools Appl., 2024)

Fusion of deep and wavelet feature representation for improved melanoma classification. - Sandhya Rani Sahoo; Ratnakar Dash; Ramesh Kumar Mohapatra (Multim. Tools Appl., 2024)

MMHBC-Net: a multi-modal hybrid approach for breast cancer classification. - Dipti Deb; Ratnakar Dash; Durga Prasad Mohapatra (Neural Comput. Appl., 2025)

Unveiling explainability in face anti-spoofing: Hybrid feature extraction with XAI-guided feature aggregation. - Ravi Pratap Singh; Ratnakar Dash; Ramesh Kumar Mohapatra (Pattern Recognit., 2026)