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ORCIDRatnakar Dash
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2020 – today
- 2024
[j48]Sourabh Debnath
, Ramesh Kumar Mohapatra, Ratnakar Dash:
A robust secret data sharing through coverless video steganography based on average DC coefficient on bit plane segmentation. Comput. Electr. Eng. 120: 109766 (2024)- [j47]K. Ashwini, Ratnakar Dash:
Improving Diabetic Retinopathy grading using Feature Fusion for limited data samples. Comput. Electr. Eng. 120: 109782 (2024) - [j46]Banhi Sanyal, Ramesh Kumar Mohapatra, Ratnakar Dash:
Indian TSR for partial occlusion using GDNN. Multim. Tools Appl. 83(7): 19485-19500 (2024) - [j45]Abir Sen, Shubham Dombe, Tapas Kumar Mishra, Ratnakar Dash:
HGR-FYOLO: a robust hand gesture recognition system for the normal and physically impaired person using frozen YOLOv5. Multim. Tools Appl. 83(30): 73797-73815 (2024) - [j44]Sandhya Rani Sahoo, Ratnakar Dash, Ramesh Kumar Mohapatra:
Fusion of deep and wavelet feature representation for improved melanoma classification. Multim. Tools Appl. 83(35): 82749-82775 (2024) - [i5]Abir Sen, Tapas Kumar Mishra, Ratnakar Dash:
Novel Human Machine Interface via Robust Hand Gesture Recognition System using Channel Pruned YOLOv5s Model. CoRR abs/2407.02585 (2024) - 2023
- [j43]K. Ashwini, Ratnakar Dash:
Grading diabetic retinopathy using multiresolution based CNN. Biomed. Signal Process. Control. 86(Part B): 105210 (2023) - [j42]Pradeep Kumar Ladi, Kakita Murali Gopal, 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): 1091-1107 (2023) - [j41]Sourabh Debnath, Ramesh Kumar Mohapatra, Ratnakar Dash:
Secret data sharing through coverless video steganography based on bit plane segmentation. J. Inf. Secur. Appl. 78: 103612 (2023) - [j40]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) - [j39]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): 28669 (2023) - [j38]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): 12569-12596 (2023) - [j37]Ravi Pratap Singh, Ratnakar Dash, Ramesh Kumar Mohapatra:
LBP and CNN feature fusion for face anti-spoofing. Pattern Anal. Appl. 26(2): 773-782 (2023) - [c24]Gorli Santoshi, Ratnakar Dash:
Performance Elevation Using Augmented Pivot Point Rotation for Kidney Stone Detection. CVIP (3) 2023: 199-211 - [c23]Shroddha Goswami, K. Ashwini, Ratnakar Dash:
Modified InceptionV3 Using Soft Attention for the Grading of Diabetic Retinopathy. ICACDS 2023: 178-188 - [c22]Shroddha Goswami, K. Ashwini, Ratnakar Dash:
Grading of Diabetic Retinopathy using iterative Attentional Feature Fusion (iAFF). ICCCNT 2023: 1-5 - 2022
- [j36]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): 102825 (2022) - [j35]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) - [j34]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): 2289-2301 (2022) - [j33]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): 28207-28230 (2022) - [j32]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): 40043-40066 (2022) - [j31]Pradeep Kumar Ladi, Kakita Murali Gopal, Ratnakar Dash, Sandeep Kumar Ladi:
SWTNet: hyperspectral image classification using two-stage combined shallow and deep feature extraction. Neural Comput. Appl. 34(21): 18439-18459 (2022) - [c21]Pradeep Kumar Ladi, Kakita Murali Gopal, Ratnakar Dash, Sandeep Kumar Ladi:
HybridSSCN: Analysis Of Hierarchical Feature Learning Architecture Using Blended Conv3D And DepthwiseConv2D For Hyperspectral Image Classification. OCIT 2022: 43-48 - [c20]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: 25-37 - [i4]Abir Sen, Tapas Kumar Mishra, Ratnakar Dash:
A Novel Hand Gesture Detection and Recognition system based on ensemble-based Convolutional Neural Network. CoRR abs/2202.12519 (2022) - [i3]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 abs/2207.03112 (2022) - 2021
- [j30]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: 102919 (2021) - [j29]Prasanth Sikakollu, Ratnakar Dash:
Ensemble of multiple CNN classifiers for HSI classification with Superpixel Smoothing. Comput. Geosci. 154: 104806 (2021) - [j28]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): 2050082:1-2050082:26 (2021) - [c19]Snehashis Majhi, Srijan Das, François Brémond, Ratnakar Dash, Pankaj Kumar Sa:
Weakly-supervised Joint Anomaly Detection and Classification. FG 2021: 1-7 - [c18]Arijeet Choudhury, Ratnakar Dash:
Wavelet Based Convolutional Neural Networks for Face Anti-spoofing. PReMI 2021: 401-412 - [i2]Snehashis Majhi, Srijan Das, François Brémond, Ratnakar Dash, Pankaj Kumar Sa:
Weakly-supervised Joint Anomaly Detection and Classification. CoRR abs/2108.08996 (2021) - 2020
- [j27]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: 101860 (2020) - [j26]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: 101912 (2020) - [j25]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): 1794-1805 (2020) - [j24]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): 15381-15396 (2020) - [j23]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): 33023-33042 (2020) - [j22]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: 385-391 (2020) - [j21]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): 416-427 (2020) - [c17]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: 191-199 - [c16]Snehashis Majhi, Ratnakar Dash, Pankaj Kumar Sa:
Temporal Pooling in Inflated 3DCNN for Weakly-supervised Video Anomaly Detection. ICCCNT 2020: 1-6
2010 – 2019
- 2019
- [j20]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) - [j19]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): 19495-19523 (2019) - [j18]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): 4829-4874 (2019) - [c15]Sandeep Kumar Ladi, Ratnakar Dash, G. K. Panda, Pradeep Kumar Ladi, Rohan Dhupar:
Hyperspectral Image Classification Using SWT and CNN. ICIT 2019: 172-177 - [c14]Sandhya Rani Sahoo, Ratnakar Dash, Ramesh Kumar Mahapatra, Baishnabi Sahu:
Unusual Event Detection in Surveillance Video Using Transfer Learning. ICIT 2019: 319-324 - [c13]Snehashis Majhi, Ratnakar Dash, Pankaj Kumar Sa:
Two-Stream CNN Architecture for Anomalous Event Detection in Real World Scenarios. CVIP (2) 2019: 343-353 - [c12]Prabin Kumar Rath, Neelam Mahapatro, Prasanmit Nath, Ratnakar Dash:
Autonomous Chess Playing Robot. RO-MAN 2019: 1-6 - [i1]Dibyasundar Das, Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi:
Backward-Forward Algorithm: An Improvement towards Extreme Learning Machine. CoRR abs/1907.10282 (2019) - 2018
- [j17]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: 366-380 (2018) - [j16]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: 685-697 (2018) - [j15]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) - [j14]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: 232-247 (2018) - [j13]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): 19:1-19:15 (2018) - [j12]Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi:
Pathological brain detection using curvelet features and least squares SVM. Multim. Tools Appl. 77(3): 3833-3856 (2018) - [j11]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): 22705-22733 (2018) - [c11]Utkal Sinha, Ratnakar Dash, Nandish Jayaram Kopri:
A Gateway Virtual Network Function for InfiniBand and Ethernet Networks. ICDCIT 2018: 211-216 - [c10]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: 795-797 - [c9]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: 764-769 - 2017
- [j10]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: 152-164 (2017) - [j9]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): 42-57 (2017) - [j8]Tusar Kanti Mishra, Banshidhar Majhi, Ratnakar Dash:
A Contour Descriptors-Based Generalized Scheme for Handwritten Odia Numerals Recognition. J. Inf. Process. Syst. 13(1): 174-183 (2017) - [c8]Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi:
Pathological Brain Detection using Extreme Learning Machine Trained with Improved Whale Optimization Algorithm. ICAPR 2017: 1-6 - 2016
- [j7]Tusar Kanti Mishra, Banshidhar Majhi, Ratnakar Dash:
Shape descriptors-based generalised scheme for handwritten character recognition. Int. J. Comput. Vis. Robotics 6(1/2): 168-179 (2016) - [j6]Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi:
Brain MR image classification using two-dimensional discrete wavelet transform and AdaBoost with random forests. Neurocomputing 177: 188-197 (2016) - [j5]Deepasikha Mishra, Banshidhar Majhi, Pankaj Kumar Sa, Ratnakar Dash:
Development of robust neighbor embedding based super-resolution scheme. Neurocomputing 202: 49-66 (2016) - [j4]Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi, Jahangir Mohammed:
Non-linear cellular automata based edge detector for optical character images. Simul. 92(9): 849-859 (2016) - [c7]Kshira Sagar Sahoo, Bibhudatta Sahoo, Ratnakar Dash, Mayank Tiwary:
Solving Multi-controller Placement Problem in Software Defined Network. ICIT 2016: 188-192 - 2015
- [j3]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: 1-14 (2015) - [c6]Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi:
Classification of brain MR images using discrete wavelet transform and random forests. NCVPRIPG 2015: 1-4 - [c5]Shradhananda Beura, Banshidhar Majhi, Ratnakar Dash:
Automatic Characterization of Mammograms using Fractal Texture Analysis and Fast Correlation Based Filter Method. PerMIn 2015: 85-91 - 2012
- [j2]Ratnakar Dash, Pankaj Kumar Sa, Banshidhar Majhi:
Particle Swarm Optimization Based Support Vector Regression for Blind Image Restoration. J. Comput. Sci. Technol. 27(5): 989-995 (2012) - 2011
- [j1]Ratnakar Dash, Pankaj Kumar Sa, Banshidhar Majhi:
Spatial variant motion deblurring of images. Int. J. Comput. Vis. Robotics 2(1): 80-88 (2011) - [c4]Ratnakar Dash, Pankaj Kumar Sa, Banshidhar Majhi:
Restoration of images corrupted with blur and impulse noise. ICCCS 2011: 377-382
2000 – 2009
- 2009
- [c3]Ratnakar Dash, Banshidhar Majhi:
Particle Swarm Optimization based Regularization for Image Restoration. NaBIC 2009: 1253-1257 - 2008
- [c2]Subrajeet Mohapatra, Ratnakar Dash, Pankaj Kumar Sa, Banshidhar Majhi:
Improved Enhancement Scheme Using a RBFN Detector for Impulse Noise. ICETET 2008: 86-89 - [c1]Ratnakar Dash, Rutuparna Panda, Bibhudendra Acharya, Banshidhar Majhi:
Novel Adaptive B-Spline Filter for Hybrid Echo Cancellation. ICIIS 2008: 1-6
Coauthor Index
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last updated on 2024-11-07 21:31 CET by the dblp team
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