Ratnakar Dash

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 64

Top Topics

Image Classification

Curvelet Transform

Extreme Learning Machine

Top Venues

Multim. Tools Appl.

Biomed. Signal Process. Control.

Publications

Banhi Sanyal, Ramesh Kumar Mohapatra, Ratnakar Dash
Indian TSR for partial occlusion using GDNN. Multim. Tools Appl. 83 (7) (2024)
Abir Sen, Tapas Kumar Mishra, Ratnakar Dash
Novel Human Machine Interface via Robust Hand Gesture Recognition System using Channel Pruned YOLOv5s Model. CoRR (2024)
Shroddha Goswami, K. Ashwini, Ratnakar Dash
Modified InceptionV3 Using Soft Attention for the Grading of Diabetic Retinopathy. ICACDS (2023)
Sandeep Kumar Ladi, G. K. Panda, Ratnakar Dash, Pradeep Kumar Ladi, Rohan Dhupar
Correction to: A novel grey wolf optimisation based CNN classifier for hyperspectral image classification. Multim. Tools Appl. 82 (18) (2023)
Pradeep Kumar Ladi, Murali Gopal Kakita, Ratnakar Dash, Sandeep Kumar Ladi
PKNNet: a novel feature learning architecture for vegetation mapping using remote sensing hyperspectral image classification. Earth Sci. Informatics 16 (1) (2023)
Gorli Santoshi, Ratnakar Dash
Performance Elevation Using Augmented Pivot Point Rotation for Kidney Stone Detection. CVIP (3) (2023)
Ravi Pratap Singh, Ratnakar Dash, Ramesh Kumar Mohapatra
LBP and CNN feature fusion for face anti-spoofing. Pattern Anal. Appl. 26 (2) (2023)
Shroddha Goswami, K. Ashwini, Ratnakar Dash
Grading of Diabetic Retinopathy using iterative Attentional Feature Fusion (iAFF). ICCCNT (2023)
Sandhya Rani Sahoo, Ratnakar Dash, Ramesh Kumar Mohapatra
A customized deep learning framework for skin lesion classification using dermoscopic images. Comput. Animat. Virtual Worlds 34 (5) (2023)
Abir Sen, Tapas Kumar Mishra, Ratnakar Dash
Deep Learning-Based Hand Gesture Recognition System and Design of a Human-Machine Interface. Neural Process. Lett. 55 (9) (2023)
K. Ashwini, Ratnakar Dash
Grading diabetic retinopathy using multiresolution based CNN. Biomed. Signal Process. Control. 86 (Part B) (2023)
Sourabh Debnath, Ramesh Kumar Mohapatra, Ratnakar Dash
Secret data sharing through coverless video steganography based on bit plane segmentation. J. Inf. Secur. Appl. 78 (2023)
Abir Sen, Tapas Kumar Mishra, Ratnakar Dash
Design of Human Machine Interface through vision-based low-cost Hand Gesture Recognition system based on deep CNN. CoRR (2022)
Abir Sen, Tapas Kumar Mishra, Ratnakar Dash
A novel hand gesture detection and recognition system based on ensemble-based convolutional neural network. Multim. Tools Appl. 81 (28) (2022)
Sandeep Kumar Ladi, G. K. Panda, Ratnakar Dash, Pradeep Kumar Ladi, Rohan Dhupar
A Novel Grey Wolf Optimisation based CNN Classifier for Hyperspectral Image classification. Multim. Tools Appl. 81 (20) (2022)
Sandeep Kumar Ladi, G. K. Panda, Ratnakar Dash, Pradeep Kumar Ladi
A novel strategy for classifying spectral-spatial shallow and deep hyperspectral image features using 1D-EWT and 3D-CNN. Earth Sci. Informatics 15 (4) (2022)
Debendra Muduli, Ratnakar Dash, Banshidhar Majhi
Automated diagnosis of breast cancer using multi-modal datasets: A deep convolution neural network based approach. Biomed. Signal Process. Control. 71 (Part) (2022)
Abir Sen, Tapas Kumar Mishra, Ratnakar Dash
A Novel Hand Gesture Detection and Recognition system based on ensemble-based Convolutional Neural Network. CoRR (2022)
Banhi Sanyal, Ramesh Kumar Mohapatra, Ratnakar Dash
Traffic sign recognition on Indian database using wavelet descriptors and convolutional neural network ensemble. Concurr. Comput. Pract. Exp. 34 (10) (2022)
Snehashis Majhi, Deepak Ranjan Nayak, Ratnakar Dash, Pankaj Kumar Sa
Multi-level 3DCNN with Min-Max Ranking Loss for Weakly-Supervised Video Anomaly Detection. ICONIP (7) (2022)
Pradeep Kumar Ladi, Murali Gopal Kakita, Ratnakar Dash, Sandeep Kumar Ladi
HybridSSCN: Analysis Of Hierarchical Feature Learning Architecture Using Blended Conv3D And DepthwiseConv2D For Hyperspectral Image Classification. OCIT (2022)
Pradeep Kumar Ladi, Murali Gopal Kakita, Ratnakar Dash, Sandeep Kumar Ladi
SWTNet: hyperspectral image classification using two-stage combined shallow and deep feature extraction. Neural Comput. Appl. 34 (21) (2022)
Snehashis Majhi, Srijan Das, François Brémond, Ratnakar Dash, Pankaj Kumar Sa
Weakly-supervised Joint Anomaly Detection and Classification. FG (2021)
Snehashis Majhi, Srijan Das, François Brémond, Ratnakar Dash, Pankaj Kumar Sa
Weakly-supervised Joint Anomaly Detection and Classification. CoRR (2021)
Debendra Muduli, Ratnakar Dash, Banshidhar Majhi
Fast discrete curvelet transform and modified PSO based improved evolutionary extreme learning machine for breast cancer detection. Biomed. Signal Process. Control. 70 (2021)
Banhi Sanyal, Ramesh Kumar Mohapatra, Ratnakar Dash
Real-time embedded TSR using MDEffNet: An efficient compact DNN on varied multi-resolution images across multiple databases. Int. J. Wavelets Multiresolution Inf. Process. 19 (3) (2021)
Prasanth Sikakollu, Ratnakar Dash
Ensemble of multiple CNN classifiers for HSI classification with Superpixel Smoothing. Comput. Geosci. 154 (2021)
Arijeet Choudhury, Ratnakar Dash
Wavelet Based Convolutional Neural Networks for Face Anti-spoofing. PReMI (2021)
Snehashis Majhi, Ratnakar Dash, Pankaj Kumar Sa
Temporal Pooling in Inflated 3DCNN for Weakly-supervised Video Anomaly Detection. ICCCNT (2020)
Deepak Ranjan Nayak, Dibyasundar Das, Ratnakar Dash, Snehashis Majhi, Banshidhar Majhi
Deep extreme learning machine with leaky rectified linear unit for multiclass classification of pathological brain images. Multim. Tools Appl. 79 (21-22) (2020)
Dibyasundar Das, Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi
MJCN: Multi-objective Jaya Convolutional Network for handwritten optical character recognition. Multim. Tools Appl. 79 (43-44) (2020)
Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi, Ram Bilas Pachori, Yudong Zhang
A deep stacked random vector functional link network autoencoder for diagnosis of brain abnormalities and breast cancer. Biomed. Signal Process. Control. 58 (2020)
Deepak Ranjan Nayak, Ratnakar Dash, Xiaojun Chang, Banshidhar Majhi, Sambit Bakshi
Automated Diagnosis of Pathological Brain Using Fast Curvelet Entropy Features. IEEE Trans. Sustain. Comput. 5 (3) (2020)
Dibyasundar Das, Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi, Yu-Dong Zhang
H-WordNet: a holistic convolutional neural network approach for handwritten word recognition. IET Image Process. 14 (9) (2020)
Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi
Automated diagnosis of multi-class brain abnormalities using MRI images: A deep convolutional neural network based method. Pattern Recognit. Lett. 138 (2020)
Debendra Muduli, Ratnakar Dash, Banshidhar Majhi
Automated breast cancer detection in digital mammograms: A moth flame optimization based ELM approach. Biomed. Signal Process. Control. 59 (2020)
Debendra Muduli, Ratnakar Dash, Banshidhar Majhi
Enhancement of Deep Learning in Image Classification Performance Using VGG16 with Swish Activation Function for Breast Cancer Detection. CVIP (1) (2020)
Kshira Sagar Sahoo, Sanjaya Kumar Panda, Sampa Sahoo, Bibhudatta Sahoo, Ratnakar Dash
Toward secure software-defined networks against distributed denial of service attack. J. Supercomput. 75 (8) (2019)
Sandeep Kumar Ladi, Ratnakar Dash, G. K. Panda, Pradeep Kumar Ladi, Rohan Dhupar
Hyperspectral Image Classification Using SWT and CNN. ICIT (2019)
Prabin Kumar Rath, Neelam Mahapatro, Prasanmit Nath, Ratnakar Dash
Autonomous Chess Playing Robot. RO-MAN (2019)
Dibyasundar Das, Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi
Backward-Forward Algorithm: An Improvement towards Extreme Learning Machine. CoRR (2019)
Snehashis Majhi, Ratnakar Dash, Pankaj Kumar Sa
Two-Stream CNN Architecture for Anomalous Event Detection in Real World Scenarios. CVIP (2) (2019)
Sandhya Rani Sahoo, Ratnakar Dash, Ramesh Kumar Mahapatra, Baishnabi Sahu
Unusual Event Detection in Surveillance Video Using Transfer Learning. ICIT (2019)
Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi, U. Rajendra Acharya
Application of fast curvelet Tsallis entropy and kernel random vector functional link network for automated detection of multiclass brain abnormalities. Comput. Medical Imaging Graph. 77 (2019)
Dibyasundar Das, Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi
An empirical evaluation of extreme learning machine: application to handwritten character recognition. Multim. Tools Appl. 78 (14) (2019)
Deepak Ranjan Nayak, Ratnakar Dash, Zhihai Lu, Siyuan Lu, Banshidhar Majhi
SCA-RELM: A New Regularized Extreme Learning Machine Based on Sine Cosine Algorithm for Automated Detection of Pathological Brain. RO-MAN (2018)
Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi
An Improved Pathological Brain Detection System Based on Two-Dimensional PCA and Evolutionary Extreme Learning Machine. J. Medical Syst. 42 (1) (2018)
Utkal Sinha, Ratnakar Dash, Nandish Jayaram Kopri
A Gateway Virtual Network Function for InfiniBand and Ethernet Networks. ICDCIT (2018)
Kshira Sagar Sahoo, Deepak Puthal, Mayank Tiwary, Joel J. P. C. Rodrigues, Bibhudatta Sahoo, Ratnakar Dash
An early detection of low rate DDoS attack to SDN based data center networks using information distance metrics. Future Gener. Comput. Syst. 89 (2018)
Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi, Shuihua Wang
Combining extreme learning machine with modified sine cosine algorithm for detection of pathological brain. Comput. Electr. Eng. 68 (2018)
Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi
Development of pathological brain detection system using Jaya optimized improved extreme learning machine and orthogonal ripplet-II transform. Multim. Tools Appl. 77 (17) (2018)
Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi
Pathological brain detection using curvelet features and least squares SVM. Multim. Tools Appl. 77 (3) (2018)
Kshira Sagar Sahoo, Mayank Tiwary, Bibhudatta Sahoo, Ratnakar Dash, Kshirasagar Naik
DSSDN: Demand-supply based load balancing in Software-Defined Wide-Area Networks. Int. J. Netw. Manag. 28 (4) (2018)
Kshira Sagar Sahoo, Mayank Tiwary, Sampa Sahoo, Rohit Nambiar, Bibhudatta Sahoo, Ratnakar Dash
Poster: A Learning Automata-based DDoS Attack Defense Mechanism in Software Defined Networks. MobiCom (2018)
Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi
Discrete ripplet-II transform and modified PSO based improved evolutionary extreme learning machine for pathological brain detection. Neurocomputing 282 (2018)
Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi
Pathological Brain Detection using Extreme Learning Machine Trained with Improved Whale Optimization Algorithm. ICAPR (2017)
Kshira Sagar Sahoo, Bibhudatta Sahoo, Ratnakar Dash, Brojo Kishore Mishra
Improving Resiliency in SDN using Routing Tree Algorithms. Int. J. Knowl. Discov. Bioinform. 7 (1) (2017)
Tusar Kanti Mishra, Banshidhar Majhi, Ratnakar Dash
A Contour Descriptors-Based Generalized Scheme for Handwritten Odia Numerals Recognition. J. Inf. Process. Syst. 13 (1) (2017)
Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi, Vijendra Prasad
Automated pathological brain detection system: A fast discrete curvelet transform and probabilistic neural network based approach. Expert Syst. Appl. 88 (2017)
Tusar Kanti Mishra, Banshidhar Majhi, Ratnakar Dash
Shape descriptors-based generalised scheme for handwritten character recognition. Int. J. Comput. Vis. Robotics 6 (1/2) (2016)
Deepasikha Mishra, Banshidhar Majhi, Pankaj Kumar Sa, Ratnakar Dash
Development of robust neighbor embedding based super-resolution scheme. Neurocomputing 202 (2016)
Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi
Brain MR image classification using two-dimensional discrete wavelet transform and AdaBoost with random forests. Neurocomputing 177 (2016)
Kshira Sagar Sahoo, Bibhudatta Sahoo, Ratnakar Dash, Mayank Tiwary
Solving Multi-controller Placement Problem in Software Defined Network. ICIT (2016)
Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi, Jahangir Mohammed
Non-linear cellular automata based edge detector for optical character images. Simul. 92 (9) (2016)
Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi
Classification of brain MR images using discrete wavelet transform and random forests. NCVPRIPG (2015)
Shradhananda Beura, Banshidhar Majhi, Ratnakar Dash
Automatic Characterization of Mammograms using Fractal Texture Analysis and Fast Correlation Based Filter Method. PerMIn (2015)
Shradhananda Beura, Banshidhar Majhi, Ratnakar Dash
Mammogram classification using two dimensional discrete wavelet transform and gray-level co-occurrence matrix for detection of breast cancer. Neurocomputing 154 (2015)
Ratnakar Dash, Pankaj Kumar Sa, Banshidhar Majhi
Particle Swarm Optimization Based Support Vector Regression for Blind Image Restoration. J. Comput. Sci. Technol. 27 (5) (2012)
Ratnakar Dash, Pankaj Kumar Sa, Banshidhar Majhi
Spatial variant motion deblurring of images. Int. J. Comput. Vis. Robotics 2 (1) (2011)
Ratnakar Dash, Pankaj Kumar Sa, Banshidhar Majhi
Restoration of images corrupted with blur and impulse noise. ICCCS (2011)
Ratnakar Dash, Banshidhar Majhi
Particle Swarm Optimization based Regularization for Image Restoration. NaBIC (2009)
Ratnakar Dash, Rutuparna Panda, Bibhudendra Acharya, Banshidhar Majhi
Novel Adaptive B-Spline Filter for Hybrid Echo Cancellation. ICIIS (2008)
Subrajeet Mohapatra, Ratnakar Dash, Pankaj Kumar Sa, Banshidhar Majhi
Improved Enhancement Scheme Using a RBFN Detector for Impulse Noise. ICETET (2008)