Ratnakar Dash

According to our database1, Ratnakar Dash authored at least 25 papers between 2008 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


On csauthors.net:


Development of pathological brain detection system using Jaya optimized improved extreme learning machine and orthogonal ripplet-II transform.
Multimedia Tools Appl., 2018

Pathological brain detection using curvelet features and least squares SVM.
Multimedia Tools Appl., 2018

An Improved Pathological Brain Detection System Based on Two-Dimensional PCA and Evolutionary Extreme Learning Machine.
J. Medical Systems, 2018

Discrete ripplet-II transform and modified PSO based improved evolutionary extreme learning machine for pathological brain detection.
Neurocomputing, 2018

DSSDN: Demand-supply based load balancing in Software-Defined Wide-Area Networks.
Int. Journal of Network Management, 2018

An early detection of low rate DDoS attack to SDN based data center networks using information distance metrics.
Future Generation Comp. Syst., 2018

Combining extreme learning machine with modified sine cosine algorithm for detection of pathological brain.
Computers & Electrical Engineering, 2018

SCA-RELM: A New Regularized Extreme Learning Machine Based on Sine Cosine Algorithm for Automated Detection of Pathological Brain.
Proceedings of the 27th IEEE International Symposium on Robot and Human Interactive Communication, 2018

Poster: A Learning Automata-based DDoS Attack Defense Mechanism in Software Defined Networks.
Proceedings of the 24th Annual International Conference on Mobile Computing and Networking, 2018

A Gateway Virtual Network Function for InfiniBand and Ethernet Networks.
Proceedings of the Distributed Computing and Internet Technology, 2018

A Contour Descriptors-Based Generalized Scheme for Handwritten Odia Numerals Recognition.
JIPS, 2017

Improving Resiliency in SDN using Routing Tree Algorithms.
IJKDB, 2017

Automated pathological brain detection system: A fast discrete curvelet transform and probabilistic neural network based approach.
Expert Syst. Appl., 2017

Pathological Brain Detection using Extreme Learning Machine Trained with Improved Whale Optimization Algorithm.
Proceedings of the Ninth International Conference on Advances in Pattern Recognition, 2017

Non-linear cellular automata based edge detector for optical character images.
Simulation, 2016

Brain MR image classification using two-dimensional discrete wavelet transform and AdaBoost with random forests.
Neurocomputing, 2016

Development of robust neighbor embedding based super-resolution scheme.
Neurocomputing, 2016

Shape descriptors-based generalised scheme for handwritten character recognition.
IJCVR, 2016

Mammogram classification using two dimensional discrete wavelet transform and gray-level co-occurrence matrix for detection of breast cancer.
Neurocomputing, 2015

Automatic Characterization of Mammograms using Fractal Texture Analysis and Fast Correlation Based Filter Method.
Proceedings of the 2nd International Conference on Perception and Machine Intelligence, 2015

Particle Swarm Optimization Based Support Vector Regression for Blind Image Restoration.
J. Comput. Sci. Technol., 2012

Spatial variant motion deblurring of images.
IJCVR, 2011

Restoration of images corrupted with blur and impulse noise.
Proceedings of the 2011 International Conference on Communication, 2011

Particle Swarm Optimization based Regularization for Image Restoration.
Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009

Improved Enhancement Scheme Using a RBFN Detector for Impulse Noise.
Proceedings of the First International Conference on Emerging Trends in Engineering and Technology, 2008