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Ratnakar Dash
Ratnakar Dash
Associate professor, CSE Department , NIT Rourkela
Verified email at nitrkl.ac.in
Title
Cited by
Cited by
Year
Brain MR image classification using two-dimensional discrete wavelet transform and AdaBoost with random forests
DR Nayak, R Dash, B Majhi
Neurocomputing 177, 188-197, 2016
2822016
Mammogram classification using two dimensional discrete wavelet transform and gray-level co-occurrence matrix for detection of breast cancer
S Beura, B Majhi, R Dash
Neurocomputing 154, 1-14, 2015
2512015
An early detection of low rate DDoS attack to SDN based data center networks using information distance metrics
KS Sahoo, D Puthal, M Tiwary, JJPC Rodrigues, B Sahoo, R Dash
Future Generation Computer Systems 89, 685-697, 2018
1782018
Automated breast cancer detection in digital mammograms: A moth flame optimization based ELM approach
D Muduli, R Dash, B Majhi
Biomedical Signal Processing and Control 59, 101912, 2020
1152020
Motion blur parameters estimation for image restoration
R Dash, B Majhi
Optik 125 (5), 1634-1640, 2014
992014
Automated diagnosis of breast cancer using multi-modal datasets: A deep convolution neural network based approach
D Muduli, R Dash, B Majhi
Biomedical Signal Processing and Control 71, 102825, 2022
842022
Underwater fish species recognition using deep learning techniques
BV Deep, R Dash
2019 6th International Conference on Signal Processing and Integrated …, 2019
812019
Toward secure software-defined networks against distributed denial of service attack
KS Sahoo, SK Panda, S Sahoo, B Sahoo, R Dash
The Journal of Supercomputing 75, 4829-4874, 2019
752019
Discrete ripplet-II transform and modified PSO based improved evolutionary extreme learning machine for pathological brain detection
DR Nayak, R Dash, B Majhi
Neurocomputing 282, 232-247, 2018
652018
Automated diagnosis of multi-class brain abnormalities using MRI images: a deep convolutional neural network based method
DR Nayak, R Dash, B Majhi
Pattern Recognition Letters 138, 385-391, 2020
612020
Automated pathological brain detection system: A fast discrete curvelet transform and probabilistic neural network based approach
DR Nayak, R Dash, B Majhi, V Prasad
Expert Systems with Applications 88, 152-164, 2017
572017
Combining extreme learning machine with modified sine cosine algorithm for detection of pathological brain
DR Nayak, R Dash, B Majhi, S Wang
Computers & Electrical Engineering 68, 366-380, 2018
562018
A deep stacked random vector functional link network autoencoder for diagnosis of brain abnormalities and breast cancer
DR Nayak, R Dash, B Majhi, RB Pachori, Y Zhang
Biomedical Signal Processing and Control 58, 101860, 2020
502020
Deep extreme learning machine with leaky rectified linear unit for multiclass classification of pathological brain images
DR Nayak, D Das, R Dash, S Majhi, B Majhi
Multimedia Tools and Applications 79, 15381-15396, 2020
492020
Hyperspectral image classification: A k-means clustering based approach
S Ranjan, DR Nayak, KS Kumar, R Dash, B Majhi
2017 4th International Conference on Advanced Computing and Communication …, 2017
492017
Stationary wavelet transform and AdaBoost with SVM based pathological brain detection in MRI scanning
D Ranjan Nayak, R Dash, B Majhi
CNS & Neurological Disorders-Drug Targets (Formerly Current Drug Targets-CNS …, 2017
442017
An empirical evaluation of extreme learning machine: application to handwritten character recognition
D Das, DR Nayak, R Dash, B Majhi
Multimedia Tools and Applications 78, 19495-19523, 2019
432019
Pathological brain detection using curvelet features and least squares SVM
DR Nayak, R Dash, B Majhi
Multimedia Tools and Applications 77, 3833-3856, 2018
432018
On the placement of controllers for designing a wide area software defined networks
KS Sahoo, S Sahoo, A Sarkar, B Sahoo, R Dash
TENCON 2017-2017 IEEE Region 10 Conference, 3123-3128, 2017
422017
Fast discrete curvelet transform and modified PSO based improved evolutionary extreme learning machine for breast cancer detection
D Muduli, R Dash, B Majhi
Biomedical Signal Processing and Control 70, 102919, 2021
392021
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