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Ratnakar Dash

Showing results (1-10 of 7) with videos related to

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Journal of Medical Systems|December 9, 2017
An Improved Pathological Brain Detection System Based on Two-Dimensional PCA and Evolutionary Extreme Learning MachineDeepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
BreastHistoNet: A Efficient Breast Cancer Histopathological Image Classification Using Multiscale Features and Channel RecalibrationDipti Deb, Ratnakar Dash, Durga Prasad Mohapatra
CNS & Neurological Disorders Drug Targets|October 27, 2016
Stationary Wavelet Transform and AdaBoost with SVM Based Pathological Brain Detection in MRI ScanningDeepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi
Healthcare Technology Letters|November 27, 2015
Classification of mammogram using two-dimensional discrete orthonormal S-transform for breast cancer detectionShradhananda Beura, Banshidhar Majhi, Ratnakar Dash, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|September 29, 2019
Application of fast curvelet Tsallis entropy and kernel random vector functional link network for automated detection of multiclass brain abnormalitiesDeepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi, et al.
Scientific Reports|April 27, 2026
An explainable Grey Wolf optimized extreme learning machine framework for modulation classification in cloud environmentPadma Charan Sahu, Bibhu Prasad, Ratnakar Dash, et al.
Scientific Reports|December 5, 2025
Cloud-enabled automatic modulation classification using deep feature fusion and Moth-Flame Optimized ELM approachPadma Charan Sahu, Bibhu Prasad, Ratnakar Dash, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Journal of Medical Systems|December 9, 2017
An Improved Pathological Brain Detection System Based on Two-Dimensional PCA and Evolutionary Extreme Learning MachineDeepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
BreastHistoNet: A Efficient Breast Cancer Histopathological Image Classification Using Multiscale Features and Channel RecalibrationDipti Deb, Ratnakar Dash, Durga Prasad Mohapatra
CNS & Neurological Disorders Drug Targets|October 27, 2016
Stationary Wavelet Transform and AdaBoost with SVM Based Pathological Brain Detection in MRI ScanningDeepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi
Healthcare Technology Letters|November 27, 2015
Classification of mammogram using two-dimensional discrete orthonormal S-transform for breast cancer detectionShradhananda Beura, Banshidhar Majhi, Ratnakar Dash, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|September 29, 2019
Application of fast curvelet Tsallis entropy and kernel random vector functional link network for automated detection of multiclass brain abnormalitiesDeepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi, et al.
Scientific Reports|April 27, 2026
An explainable Grey Wolf optimized extreme learning machine framework for modulation classification in cloud environmentPadma Charan Sahu, Bibhu Prasad, Ratnakar Dash, et al.
Scientific Reports|December 5, 2025
Cloud-enabled automatic modulation classification using deep feature fusion and Moth-Flame Optimized ELM approachPadma Charan Sahu, Bibhu Prasad, Ratnakar Dash, et al.
Pageof 1