Deepak Ranjan Nayak
Deepak Ranjan Nayak
Assistant Professor, Malaviya National Institute of Technology Jaipur
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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
1672016
A survey on rainfall prediction using artificial neural network
DR Nayak, A Mahapatra, P Mishra
International Journal of Computer Applications 72 (16), 2013
1122013
Detection of unilateral hearing loss by Stationary Wavelet Entropy
Y Zhang, D Ranjan Nayak, M Yang, TF Yuan, B Liu, H Lu, S Wang
CNS & Neurological Disorders-Drug Targets (Formerly Current Drug Targets-CNS …, 2017
512017
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
442018
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
402017
Pathological brain detection using curvelet features and least squares SVM
DR Nayak, R Dash, B Majhi
Multimedia Tools and Applications, 1-24, 2016
322016
A cellular automata based optimal edge detection technique using twenty-five neighborhood model
DR Nayak, SK Sahu, J Mohammed
arXiv preprint arXiv:1402.1348, 2014
292014
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
252017
Classification of brain MR images using discrete wavelet transform and random forests
DR Nayak, R Dash, B Majhi
2015 Fifth National Conference on Computer Vision, Pattern Recognition …, 2015
252015
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
242018
Application of deep learning techniques for detection of COVID-19 cases using chest X-ray images: A comprehensive study
SR Nayak, DR Nayak, U Sinha, V Arora, RB Pachori
Biomedical Signal Processing and Control 64, 102365, 2021
232021
An efficient edge detection technique by two dimensional rectangular cellular automata
J Mohammed, DR Nayak
International Conference on Information Communication and Embedded Systems …, 2014
202014
COVID-19 classification by CCSHNet with deep fusion using transfer learning and discriminant correlation analysis
SH Wang, DR Nayak, DS Guttery, X Zhang, YD Zhang
Information Fusion 68, 131-148, 2021
192021
A survey on two dimensional cellular automata and its application in image processing
DR Nayak, PK Patra, A Mahapatra
arXiv preprint arXiv:1407.7626, 2014
192014
Development of pathological brain detection system using Jaya optimized improved extreme learning machine and orthogonal ripplet-II transform
DR Nayak, R Dash, B Majhi
Multimedia Tools and Applications 77 (17), 22705-22733, 2018
172018
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
172017
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, 1-16, 2019
162019
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 (14), 19495-19523, 2019
132019
Automated diagnosis of pathological brain using fast curvelet entropy features
DR Nayak, R Dash, X Chang, B Majhi, S Bakshi
IEEE Transactions on Sustainable Computing 5 (3), 416-427, 2018
132018
Non-linear cellular automata based edge detector for optical character images
DR Nayak, R Dash, B Majhi, J Mohammed
Simulation 92 (9), 849-859, 2016
132016
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