Deepak Ranjan Nayak

发表

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

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

A Cellular Automata based Optimal Edge Detection Technique using Twenty-Five Neighborhood Model pdf

Jahangir Mohammed, Deepak Ranjan Nayak, Sumit Kumar Sahu, 2013, ArXiv.

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).

Diagnosis of secondary pulmonary tuberculosis by an eight-layer improved convolutional neural network with stochastic pooling and hyperparameter optimization

Yudong Zhang, Xin Zhang, Yudong Zhang, 2020 .

Backward-Forward Algorithm: An Improvement towards Extreme Learning Machine pdf

Banshidhar Majhi, Deepak Ranjan Nayak, Dibyasundar Das, 2019, ArXiv.

A Gabor Wavelet Based Approach for Off-Line Recognition of ODIA Handwritten Numerals

Deepak Ranjan Nayak, Soumya Ranjan Nayak, Abhisek Sethy, 2018 .

Application of fast curvelet Tsallis entropy and kernel random vector functional link network for automated detection of multiclass brain abnormalities

U Rajendra Acharya, Banshidhar Majhi, Deepak Ranjan Nayak, 2019, Comput. Medical Imaging Graph..

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..

An efficient edge detection technique by two dimensional rectangular cellular automata

Jahangir Mohammed, Deepak Ranjan Nayak, 2014, International Conference on Information Communication and Embedded Systems (ICICES2014).

Automated diagnosis of multi-class brain abnormalities using MRI images: A deep convolutional neural network based method

Banshidhar Majhi, Deepak Ranjan Nayak, Ratnakar Dash, 2020, Pattern Recognit. Lett..

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).

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.

A Novel Architecture for Embedded Biometric Authentication System

Deepak Ranjan Nayak, 2008, 2008 Second UKSIM European Symposium on Computer Modeling and Simulation.

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.

A Survey on Two Dimensional Cellular Automata and Its Application in Image Processing pdf

Deepak Ranjan Nayak, Prashanta Kumar Patra, Amitav Mahapatra, 2014, ArXiv.

Off-Line Handwritten Odia Character Recognition Using DWT and PCA

Deepak Ranjan Nayak, Prashanta Kumar Patra, Abhisek Sethy, 2018 .

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).

A hybrid regularized extreme learning machine for automated detection of pathological brain

Yudong Zhang, Banshidhar Majhi, Deepak Ranjan Nayak, 2019 .

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..

Application of deep learning techniques for detection of COVID-19 cases using chest X-ray images: A comprehensive study

Ram Bilas Pachori, Deepak Ranjan Nayak, Vaibhav Arora, 2020, Biomedical Signal Processing and Control.

Automated Detection of Brain Abnormalities Using Multi-Directional Features and Randomized Learning

Banshidhar Majhi, Deepak Ranjan Nayak, Ratnakar Dash, 2020 .

A Multi-Stage Hybrid Model for Odia Compound Character Recognition

Banshidhar Majhi, Deepak Ranjan Nayak, Ratnakar Dash, 2020 .

MJaya-ELM: A Jaya algorithm with mutation and extreme learning machine based approach for sensorineural hearing loss detection

Yudong Zhang, Deepak Ranjan Nayak, Dibya Sundar Das, 2019, Appl. Soft Comput..

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.

A deep stacked random vector functional link network autoencoder for diagnosis of brain abnormalities and breast cancer

Ram Bilas Pachori, Banshidhar Majhi, Deepak Ranjan Nayak, 2020, Biomed. Signal Process. Control..

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.

A Survey on Rainfall Prediction using Artificial Neural Network

Deepak Ranjan Nayak, Amitav Mahapatra, Pranati Mishra, 2013 .

Gray-Level Co-occurrence Matrix and Random Forest Based Off-line Odia Handwritten Character Recognition

Deepak Ranjan Nayak, Abhisek Sethy, Prashanta Kumar Patra, 2019, Recent Patents on Engineering.

Off-line Odia Handwritten Character Recognition: A Hybrid Approach

Deepak Ranjan Nayak, Abhisek Sethy, Prashanta Kumar Patra, 2018 .

Least-Square Support Vector Machine and Wavelet Selection for Hearing Loss Identification

Deepak Ranjan Nayak, Chaosheng Tang, Shuihua Wang, 2020 .

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

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

MJCN: Multi-objective Jaya Convolutional Network for handwritten optical character recognition

Banshidhar Majhi, Deepak Ranjan Nayak, Ratnakar Dash, 2020, Multimedia Tools and Applications.

Pathological brain detection using curvelet features and least squares SVM

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

Blind Radial Basis Function Network Equalizer for Digital Communication Channels

Deepak Ranjan Nayak, 2009, 2009 Third UKSim European Symposium on Computer Modeling and Simulation.

H-WordNet: a holistic convolutional neural network approach for handwritten word recognition

Yudong Zhang, Banshidhar Majhi, Deepak Ranjan Nayak, 2020, IET Image Process..

Towards Designing Improved Pathological Brain Detection Systemusing Machine Learning Approaches

Deepak Ranjan Nayak, 2019 .

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.

Salt and Pepper Noise Reduction Schemes Using Cellular Automata

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

COVID-19 classification by CCSHNet with deep fusion using transfer learning and discriminant correlation analysis

Deepak Ranjan Nayak, Yu-Dong Zhang, David S. Guttery, 2020, Information Fusion.

A cerebral microbleed diagnosis method via FeatureNet and ensembled randomized neural networks

Deepak Ranjan Nayak, Yu-Dong Zhang, Shui-Hua Wang, 2021, Appl. Soft Comput..

A feature-level fusion based improved multimodal biometric recognition system using ear and profile face

Banshidhar Majhi, Madhumita Panda, Deepak Ranjan Nayak, 2021, Journal of Ambient Intelligence and Humanized Computing.

Improving the Performance of Melanoma Detection in Dermoscopy Images Using Deep CNN Features

Mukesh A. Zaveri, Deepak Ranjan Nayak, Himanshu K. Gajera, 2021, AIME.

A hybrid feature descriptor with Jaya optimised least squares SVM for facial expression recognition

Deepak Ranjan Nayak, Korra Sathya Babu, Nikunja Bihari Kar, 2021, IET Image Process..

ECNet: An evolutionary convolutional network for automated glaucoma detection using fundus images

Sulatha V. Bhandary, Banshidhar Majhi, Deepak Ranjan Nayak, 2021, Biomed. Signal Process. 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).