Ratnakar Dash

发表

Solving Multi-controller Placement Problem in Software Defined Network

Bibhudatta Sahoo, Kshira Sagar Sahoo, Ratnakar Dash, 2016, 2016 International Conference on Information Technology (ICIT).

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

Banshidhar Majhi, Ratnakar Dash, Deepak Ranjan Nayak, 2016, Neurocomputing.

Learning Probe Attack Patterns with Honeypots

Sanjay Kumar Jena, Ratnakar Dash, Kanchan Shendre, 2016 .

Development of pathological brain detection system using Jaya optimized improved extreme learning machine and orthogonal ripplet-II transform

Banshidhar Majhi, Ratnakar Dash, Deepak Ranjan Nayak, 2017, Multimedia Tools and Applications.

Hyperspectral image classification: A k-means clustering based approach

Banshidhar Majhi, Ratnakar Dash, Deepak Ranjan Nayak, 2017, 2017 4th International Conference on Advanced Computing and Communication Systems (ICACCS).

An early detection of low rate DDoS attack to SDN based data center networks using information distance metrics

Joel J. P. C. Rodrigues, Deepak Puthal, Bibhudatta Sahoo, 2018, Future Gener. Comput. Syst..

Image Resolution Enhancement Using Lifting Wavelet and Stationary Wavelet Transform

Ratnakar Dash, Mayank Agrawal, 2014, 2014 International Conference on Electronic Systems, Signal Processing and Computing Technologies.

Hybrid RBFN Based Encrypted SSH Traffic Classification

Ratnakar Dash, Ayush Pradhan, Sidharth Behera, 2018, 2018 5th International Conference on Signal Processing and Integrated Networks (SPIN).

Hyperspectral Image Classification Based on Quadratic Fisher's Discriminant Analysis and Multi-class Support Vector Machine

Banshidhar Majhi, Ratnakar Dash, Rig Das, 2014 .

Improved Enhancement Scheme Using a RBFN Detector for Impulse Noise

Banshidhar Majhi, Ratnakar Dash, Pankaj Kumar Sa, 2008, 2008 First International Conference on Emerging Trends in Engineering and Technology.

Automated pathological brain detection system: A fast discrete curvelet transform and probabilistic neural network based approach

Banshidhar Majhi, Ratnakar Dash, Deepak Ranjan Nayak, 2017, Expert Syst. Appl..

SCA-RELM: A New Regularized Extreme Learning Machine Based on Sine Cosine Algorithm for Automated Detection of Pathological Brain

Zhihai Lu, Banshidhar Majhi, Ratnakar Dash, 2018, 2018 27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN).

Particle swarm optimization based regularization for image restoration

Banshidhar Majhi, Ratnakar Dash, B. Majhi, 2009, 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC).

Automatic Characterization of Mammograms using Fractal Texture Analysis and Fast Correlation Based Filter Method

Banshidhar Majhi, Ratnakar Dash, Shradhananda Beura, 2015, PerMIn '15.

An Improved Pathological Brain Detection System Based on Two-Dimensional PCA and Evolutionary Extreme Learning Machine

Banshidhar Majhi, Ratnakar Dash, Deepak Ranjan Nayak, 2017, Journal of Medical Systems.

Detection of Control Layer DDoS Attack using Entropy metrics in SDN: An Empirical Investigation

Bibhudatta Sahoo, Kshira Sagar Sahoo, Ratnakar Dash, 2017, 2017 Ninth International Conference on Advanced Computing (ICoAC).

Toward secure software-defined networks against distributed denial of service attack

Bibhudatta Sahoo, Kshira Sagar Sahoo, Ratnakar Dash, 2019, The Journal of Supercomputing.

A Learning Automata-based DDoS Attack Defense Mechanism in Software Defined Networks

Bibhudatta Sahoo, Kshira Sagar Sahoo, Ratnakar Dash, 2018, MobiCom.

Modelling and simulation of IP over InfiniBand with OMNeT++

Ratnakar Dash, Utkal Sinha, Abhilash Thottakath Chakkan, 2017, 2017 2nd International Conference on Man and Machine Interfacing (MAMI).

Deep Neural Network Architecture for Anomaly Based Intrusion Detection System

Ratnakar Dash, Ayush Pradhan, Sidharth Behera, 2018, 2018 5th International Conference on Signal Processing and Integrated Networks (SPIN).

Stationary Wavelet Transform and AdaBoost with SVM Based Pathological Brain Detection in MRI Scanning.

Banshidhar Majhi, Ratnakar Dash, Deepak Ranjan Nayak, 2017, CNS & neurological disorders drug targets.

Improved Spatially Adaptive Denoising Algorithm to Suppress Gaussian Noise in an Image

Ratnakar Dash, Sarmila Padhy, 2013 .

Hardware implementation of face recognition using low precision representation

Peeter Ellervee, Ratnakar Dash, Siavoosh Payandeh Azad, 2016, 2016 15th Biennial Baltic Electronics Conference (BEC).

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

Banshidhar Majhi, Ratnakar Dash, Shradhananda Beura, 2015, Neurocomputing.

Motion blur parameters estimation for image restoration

Banshidhar Majhi, Ratnakar Dash, B. Majhi, 2014 .

Classification of brain MR images using discrete wavelet transform and random forests

Banshidhar Majhi, Ratnakar Dash, Deepak Ranjan Nayak, 2015, 2015 Fifth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG).

Pathological Brain Detection using Extreme Learning Machine Trained with Improved Whale Optimization Algorithm

Banshidhar Majhi, Ratnakar Dash, Deepak Ranjan Nayak, 2017, 2017 Ninth International Conference on Advances in Pattern Recognition (ICAPR).

Automated Diagnosis of Pathological Brain Using Fast Curvelet Entropy Features

Xiaojun Chang, Sambit Bakshi, Banshidhar Majhi, 2020, IEEE Transactions on Sustainable Computing.

Combining extreme learning machine with modified sine cosine algorithm for detection of pathological brain

Shuihua Wang, Banshidhar Majhi, Ratnakar Dash, 2018, Comput. Electr. Eng..

Development of robust neighbor embedding based super-resolution scheme

Banshidhar Majhi, Ratnakar Dash, Pankaj Kumar Sa, 2016, Neurocomputing.

A Two-Step Deep Convolution Neural Network for Road Extraction from Aerial Images

Ratnakar Dash, Priya Singh, Ratnakar Dash, 2019, 2019 6th International Conference on Signal Processing and Integrated Networks (SPIN).

Deep extreme learning machine with leaky rectified linear unit for multiclass classification of pathological brain images

Banshidhar Majhi, Ratnakar Dash, Deepak Ranjan Nayak, 2019, Multimedia Tools and Applications.

Underwater Fish Species Recognition Using Deep Learning Techniques

Ratnakar Dash, B Vikram Deep, Ratnakar Dash, 2019, 2019 6th International Conference on Signal Processing and Integrated Networks (SPIN).

Improving Resiliency in SDN using Routing Tree Algorithms

Bibhudatta Sahoo, Brojo Kishore Mishra, Kshira Sagar Sahoo, 2017, Int. J. Knowl. Discov. Bioinform..

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

Banshidhar Majhi, Ratnakar Dash, Deepak Ranjan Nayak, 2017, Neurocomputing.

Recent advances in distributed video coding

Ratnakar Dash, B. Majhi, Suvendu Rup, 2009, 2009 2nd IEEE International Conference on Computer Science and Information Technology.

Shape descriptors-based generalised scheme for handwritten character recognition

Tusar Kanti Mishra, Banshidhar Majhi, Ratnakar Dash, 2016, Int. J. Comput. Vis. Robotics.

An empirical evaluation of extreme learning machine: application to handwritten character recognition

Ratnakar Dash, Deepak Ranjan Nayak, Dibyasundar Das, 2019, Multimedia Tools and Applications.

Classification of mammogram using two-dimensional discrete orthonormal S-transform for breast cancer detection.

Banshidhar Majhi, Ratnakar Dash, Shradhananda Beura, 2015, Healthcare technology letters.

Pathological brain detection using curvelet features and least squares SVM

Banshidhar Majhi, Ratnakar Dash, Deepak Ranjan Nayak, 2016, Multimedia Tools and Applications.

Odia Compound Character Recognition Using Stroke Analysis

Banshidhar Majhi, Ratnakar Dash, Dibyasundar Das, 2017 .

Network Virtualization: Network Resource Management in Cloud

Bibhudatta Sahoo, Kshira Sagar Sahoo, Ratnakar Dash, 2017 .

A Gateway Virtual Network Function for InfiniBand and Ethernet Networks

Ratnakar Dash, Utkal Sinha, Nandish Jayaram Kopri, 2018, ICDCIT.

A Contour Descriptors-Based Generalized Scheme for Handwritten Odia Numerals Recognition

Tusar Kanti Mishra, Banshidhar Majhi, Ratnakar Dash, 2017, J. Inf. Process. Syst..

Optimal controller selection in Software Defined Network using a greedy-SA algorithm

Kshira Sagar Sahoo, Ratnakar Dash, Bibhudatta Sahoo, 2016, 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom).

Restoration of images corrupted with blur and impulse noise

Banshidhar Majhi, Ratnakar Dash, Pankaj Kumar Sa, 2011, ICCCS '11.

Particle Swarm Optimization Based Support Vector Regression for Blind Image Restoration

Banshidhar Majhi, Ratnakar Dash, Pankaj Kumar Sa, 2012, Journal of Computer Science and Technology.

Extended feature extraction technique from fingerprint

Banshidhar Majhi, Ratnakar Dash, Satyabrata Swain, 2014, 2014 Annual IEEE India Conference (INDICON).

Dots and incipient based fingerprint matching scheme using FMM and delaunay triangulation

Banshidhar Majhi, Ratnakar Dash, Pankaj Kumar Sa, 2014, 2014 9th International Conference on Industrial and Information Systems (ICIIS).

DSSDN: Demand‐supply based load balancing in Software‐Defined Wide‐Area Networks

Sagar Naik, Bibhudatta Sahoo, Kshira Sagar Sahoo, 2018, International Journal of Network Management.

Non-linear cellular automata based edge detector for optical character images

Banshidhar Majhi, Jahangir Mohammed, Ratnakar Dash, 2016, Simul..

An improved extreme learning machine for pathological brain detection

Banshidhar Majhi, Ratnakar Dash, Deepak Ranjan Nayak, 2017, TENCON 2017 - 2017 IEEE Region 10 Conference.

Image super-resolution by interpolating high frequency sub-bands of image using surface fitting

Ratnakar Dash, Mayank Agrawal, 2013, 2013 INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION (ICSC).

Salt and Pepper Noise Reduction Schemes Using Cellular Automata

Banshidhar Majhi, Ratnakar Dash, Deepak Ranjan Nayak, 2016 .

Fast discrete curvelet transform and modified PSO based improved evolutionary extreme learning machine for breast cancer detection

Banshidhar Majhi, Ratnakar Dash, Debendra Muduli, 2021, Biomed. Signal Process. Control..

Ensemble of multiple CNN classifiers for HSI classification with Superpixel Smoothing

Ratnakar Dash, Prasanth Sikakollu, Ratnakar Dash, 2021, Comput. Geosci..

Automated diagnosis of breast cancer using multi-modal datasets: A deep convolution neural network based approach

Banshidhar Majhi, Ratnakar Dash, Debendra Muduli, 2021, Biomed. Signal Process. Control..

Weakly-supervised Joint Anomaly Detection and Classification

Francois Bremond, Ratnakar Dash, Srijan Das, 2021, 2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021).

RBFN Based Motion Blur Parameter Estimation

Banshidhar Majhi, Ratnakar Dash, Pankaj Kumar Sa, 2009, 2009 International Conference on Advanced Computer Control.

Least squares SVM approach for abnormal brain detection in MRI using multiresolution analysis

Banshidhar Majhi, Ratnakar Dash, Deepak Ranjan Nayak, 2015, 2015 International Conference on Computing, Communication and Security (ICCCS).

Second order difference based detection and directional weighted median filter for removal of random valued impulsive noise

Banshidhar Majhi, Ratnakar Dash, Pankaj Kumar Sa, 2009, 2009 International Conference on Industrial and Information Systems (ICIIS).