Ratnakar Dash
Orcid: 0000-0001-9886-2546
According to our database1,
Ratnakar Dash
authored at least 68 papers
between 2008 and 2024.
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Bibliography
2024
2023
Deep Learning-Based Hand Gesture Recognition System and Design of a Human-Machine Interface.
Neural Process. Lett., December, 2023
Secret data sharing through coverless video steganography based on bit plane segmentation.
J. Inf. Secur. Appl., November, 2023
Biomed. Signal Process. Control., September, 2023
Correction to: A novel grey wolf optimisation based CNN classifier for hyperspectral image classification.
Multim. Tools Appl., July, 2023
PKNNet: a novel feature learning architecture for vegetation mapping using remote sensing hyperspectral image classification.
Earth Sci. Informatics, March, 2023
A customized deep learning framework for skin lesion classification using dermoscopic images.
Comput. Animat. Virtual Worlds, 2023
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
Proceedings of the Advances in Computing and Data Sciences - 7th International Conference, 2023
2022
A novel strategy for classifying spectral-spatial shallow and deep hyperspectral image features using 1D-EWT and 3D-CNN.
Earth Sci. Informatics, December, 2022
SWTNet: hyperspectral image classification using two-stage combined shallow and deep feature extraction.
Neural Comput. Appl., 2022
A novel hand gesture detection and recognition system based on ensemble-based convolutional neural network.
Multim. Tools Appl., 2022
A Novel Grey Wolf Optimisation based CNN Classifier for Hyperspectral Image classification.
Multim. Tools Appl., 2022
Design of Human Machine Interface through vision-based low-cost Hand Gesture Recognition system based on deep CNN.
CoRR, 2022
Traffic sign recognition on Indian database using wavelet descriptors and convolutional neural network ensemble.
Concurr. Comput. Pract. Exp., 2022
Automated diagnosis of breast cancer using multi-modal datasets: A deep convolution neural network based approach.
Biomed. Signal Process. Control., 2022
Multi-level 3DCNN with Min-Max Ranking Loss for Weakly-Supervised Video Anomaly Detection.
Proceedings of the Neural Information Processing - 29th International Conference, 2022
HybridSSCN: Analysis Of Hierarchical Feature Learning Architecture Using Blended Conv3D And DepthwiseConv2D For Hyperspectral Image Classification.
Proceedings of the OITS International Conference on Information Technology, 2022
2021
Real-time embedded TSR using MDEffNet: An efficient compact DNN on varied multi-resolution images across multiple databases.
Int. J. Wavelets Multiresolution Inf. Process., 2021
Ensemble of multiple CNN classifiers for HSI classification with Superpixel Smoothing.
Comput. Geosci., 2021
Fast discrete curvelet transform and modified PSO based improved evolutionary extreme learning machine for breast cancer detection.
Biomed. Signal Process. Control., 2021
Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021
2020
IEEE Trans. Sustain. Comput., 2020
Automated diagnosis of multi-class brain abnormalities using MRI images: A deep convolutional neural network based method.
Pattern Recognit. Lett., 2020
Deep extreme learning machine with leaky rectified linear unit for multiclass classification of pathological brain images.
Multim. Tools Appl., 2020
MJCN: Multi-objective Jaya Convolutional Network for handwritten optical character recognition.
Multim. Tools Appl., 2020
H-WordNet: a holistic convolutional neural network approach for handwritten word recognition.
IET Image Process., 2020
A deep stacked random vector functional link network autoencoder for diagnosis of brain abnormalities and breast cancer.
Biomed. Signal Process. Control., 2020
Automated breast cancer detection in digital mammograms: A moth flame optimization based ELM approach.
Biomed. Signal Process. Control., 2020
Proceedings of the 11th International Conference on Computing, 2020
Enhancement of Deep Learning in Image Classification Performance Using VGG16 with Swish Activation Function for Breast Cancer Detection.
Proceedings of the Computer Vision and Image Processing - 5th International Conference, 2020
2019
Toward secure software-defined networks against distributed denial of service attack.
J. Supercomput., 2019
An empirical evaluation of extreme learning machine: application to handwritten character recognition.
Multim. Tools Appl., 2019
CoRR, 2019
Application of fast curvelet Tsallis entropy and kernel random vector functional link network for automated detection of multiclass brain abnormalities.
Comput. Medical Imaging Graph., 2019
Proceedings of the 28th IEEE International Conference on Robot and Human Interactive Communication, 2019
Proceedings of the Computer Vision and Image Processing - 4th International Conference, 2019
Proceedings of the 2019 International Conference on Information Technology (ICIT), 2019
Proceedings of the 2019 International Conference on Information Technology (ICIT), 2019
2018
Development of pathological brain detection system using Jaya optimized improved extreme learning machine and orthogonal ripplet-II transform.
Multim. Tools Appl., 2018
Multim. Tools Appl., 2018
An Improved Pathological Brain Detection System Based on Two-Dimensional PCA and Evolutionary Extreme Learning Machine.
J. Medical Syst., 2018
Discrete ripplet-II transform and modified PSO based improved evolutionary extreme learning machine for pathological brain detection.
Neurocomputing, 2018
Int. J. Netw. Manag., 2018
An early detection of low rate DDoS attack to SDN based data center networks using information distance metrics.
Future Gener. Comput. Syst., 2018
Combining extreme learning machine with modified sine cosine algorithm for detection of pathological brain.
Comput. Electr. Eng., 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
Proceedings of the Distributed Computing and Internet Technology, 2018
2017
A Contour Descriptors-Based Generalized Scheme for Handwritten Odia Numerals Recognition.
J. Inf. Process. Syst., 2017
Int. J. Knowl. Discov. Bioinform., 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
2016
Simul., 2016
Brain MR image classification using two-dimensional discrete wavelet transform and AdaBoost with random forests.
Neurocomputing, 2016
Neurocomputing, 2016
Int. J. Comput. Vis. Robotics, 2016
Proceedings of the 2016 International Conference on Information Technology, 2016
2015
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
Classification of brain MR images using discrete wavelet transform and random forests.
Proceedings of the 2015 Fifth National Conference on Computer Vision, 2015
2012
Particle Swarm Optimization Based Support Vector Regression for Blind Image Restoration.
J. Comput. Sci. Technol., 2012
2011
Proceedings of the 2011 International Conference on Communication, 2011
2009
Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009
2008
Proceedings of the IEEE Reglon 10 Colloquium and Third International Conference on Industrial and Information Systems, 2008
Proceedings of the First International Conference on Emerging Trends in Engineering and Technology, 2008