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ORCIDPradyut Kumar Biswal
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2020 – today
- 2024
[j20]Pradyut Kumar Biswal, Kanhu Charan Bhuyan, Ram Narayan Patro, Subhashree Subudhi:
Texture-based superpixel segmentation algorithm for classification of hyperspectral images. Int. J. Comput. Sci. Eng. 27(1): 103-121 (2024)- [j19]Subhashree Subudhi, Ram Narayan Patro, Pradyut Kumar Biswal, Kanhu Charan Bhuyan:
Texture-based superpixel segmentation algorithm for classification of hyperspectral images. Int. J. Comput. Sci. Eng. 27(1): 103-121 (2024) - [j18]Geetha Pavani Pappu, Birendra Biswal, Srinivasa Rao Kandula, Pradyut Kumar Biswal, G. Siddartha, T. Niranjan, N. BalaSubrahmanyam:
A robust segmentation of retinal fluids from OCT images using MCFAR-net. Neurocomputing 599: 128059 (2024) - [j17]Sanuja D. Mohanty, Ram Narayan Patro, Pradyut Kumar Biswal, Biswajit Pradhan, Sk Sazim
:
Trade-off between bagging and boosting for quantum separability-entanglement classification. Quantum Inf. Process. 23(7): 273 (2024) - 2022
- [j16]Susanta Kumar Rout, Mrutyunjaya Sahani, Chinmayee Dora, Pradyut Kumar Biswal, Birendra Biswal:
An efficient epileptic seizure classification system using empirical wavelet transform and multi-fuse reduced deep convolutional neural network with digital implementation. Biomed. Signal Process. Control. 72(Part): 103281 (2022) - [j15]Geetha Pavani Pappu, Talabhakthula Krishna, Birendra Biswal, Prakash Kumar Karn, Pradyut Kumar Biswal, Shazia Hasan, Debasish Nayak:
A deeply supervised maximum response texton based SegNet for simultaneous multi retinal lesion segmentation. Int. J. Imaging Syst. Technol. 32(5): 1709-1726 (2022) - 2021
- [j14]Geetha Pavani Pappu, Birendra Biswal, Pradyut Kumar Biswal:
Robust classification of neovascularization using random forest classifier via convoluted vascular network. Biomed. Signal Process. Control. 66: 102420 (2021) - [j13]Susanta Kumar Rout, Mrutyunjaya Sahani, P. K. Dash, Pradyut Kumar Biswal:
Multifuse multilayer multikernel RVFLN+ of process modes decomposition and approximate entropy data from iEEG/sEEG signals for epileptic seizure recognition. Comput. Biol. Medicine 132: 104299 (2021) - [j12]Geetha Pavani Pappu, Birendra Biswal, M. V. S. Sairam, Pradyut Kumar Biswal:
An exclusive-disjunction-based detection of neovascularisation using multi-scale CNN. IET Image Process. 15(7): 1518-1529 (2021) - [j11]Monalisa Mohanty, Manasa Dash, Pradyut Kumar Biswal, Sukanta Sabut:
Classification of ventricular arrhythmias using empirical mode decomposition and machine learning algorithms. Prog. Artif. Intell. 10(4): 489-504 (2021) - [j10]Subhashree Subudhi, Ram Narayan Patro, Pradyut Kumar Biswal, Fabio Dell'Acqua:
A Survey on Superpixel Segmentation as a Preprocessing Step in Hyperspectral Image Analysis. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 5015-5035 (2021) - 2020
- [j9]Susanta Kumar Rout, Pradyut Kumar Biswal:
An efficient error-minimized random vector functional link network for epileptic seizure classification using VMD. Biomed. Signal Process. Control. 57 (2020) - [j8]Chinmayee Dora, Pradyut Kumar Biswal:
Correlation-based ECG Artifact Correction from Single Channel EEG using Modified Variational Mode Decomposition. Comput. Methods Programs Biomed. 183 (2020) - [j7]Monalisa Mohanty, Pradyut Kumar Biswal, Sukanta Sabut:
Machine learning approach to recognize ventricular arrhythmias using VMD based features. Multidimens. Syst. Signal Process. 31(1): 49-71 (2020)
2010 – 2019
- 2019
- [j6]Chinmayee Dora, Pradyut Kumar Biswal:
Efficient detection and correction of variable strength ECG artifact from single channel EEG. Biomed. Signal Process. Control. 50: 168-177 (2019) - [j5]Ram Narayan Patro, Subhashree Subudhi, Pradyut Kumar Biswal:
Spectral clustering and spatial Frobenius norm-based Jaya optimisation for BS of hyperspectral images. IET Image Process. 13(2): 307-315 (2019) - [c9]Chinmayee Dora, Pradyut Kumar Biswal:
A Frequency Division Based Approach for EMG Artifact Minimization from Single Channel EEG. ICIT 2019: 196-200 - [c8]Subhashree Subudhi, Ram Nayaran Patro, Pradyut Kumar Biswal:
Superpixel Clustering Based Segmentation Algorithm for Hyperspectral Image Classification. ICIT 2019: 371-375 - [c7]Sushant Sadangi, Satyakam Baraha, Pradyut Kumar Biswal:
Efficient Hardware Implementation of Switching Median Filter for extraction of Extremely High Impulse Noise Corrupted Images. TENCON 2019: 1601-1605 - 2018
- [j4]Monalisa Mohanty, Santanu Sahoo, Pradyut Kumar Biswal, Sukanta Sabut:
Efficient classification of ventricular arrhythmias using feature selection and C4.5 classifier. Biomed. Signal Process. Control. 44: 200-208 (2018) - [c6]Om Prakash Jena, Sateesh Kumar Pradhan, Pradyut Kumar Biswal, Sradhanjali Nayak:
Implementation of Linear Discriminant Analysis for Odia Numeral Recognition. ICIT 2018: 166-171 - [c5]Lipsa Routray, Pradyut Kumar Biswal, Satya Ranjan Pattanaik:
ECG Artifact Removal of EEG signal using Adaptive Neural Network. ICIIS 2018: 103-106 - [c4]Chinmayee Dora, Pradyut Kumar Biswal:
An ELM Based Regression Model for ECG Artifact Minimization from Single Channel EEG. IDEAL (1) 2018: 269-276 - 2017
- [c3]Ram Narayan Patro, Subhashree Subudhi, Pradyut Kumar Biswal, Harish Kumar Sahoo:
Probabilistic Histogram-Based Band Selection and Its Effect on Classification of Hyperspectral Images. SocProS (1) 2017: 559-570 - [c2]Subhashree Subudhi, Ram Narayan Patro, Pradyut Kumar Biswal:
PSO-Based Synthetic Minority Oversampling Technique for Classification of Reduced Hyperspectral Image. SocProS (1) 2017: 617-625 - 2016
- [j3]Pulak Mondal, Pradyut Kumar Biswal, Swapna Banerjee:
FPGA based accelerated 3D affine transform for real-time image processing applications. Comput. Electr. Eng. 49: 69-83 (2016) - [c1]Chinmayee Dora, Pradyut Kumar Biswal:
Robust ECG artifact removal from EEG using continuous wavelet transformation and linear regression. SPCOM 2016: 1-5 - 2013
- [j2]Pradyut Kumar Biswal, Pulak Mondal, Swapna Banerjee:
Parallel architecture for accelerating affine transform in high-speed imaging systems. J. Real Time Image Process. 8(1): 69-79 (2013) - 2012
- [j1]Birendra Biswal, S. Mishra, Pradyut Kumar Biswal, Telagarapu Prabhakar:
Detection and power quality disturbance classification based on wavelet packet decomposition and modified immune optimization algorithm. Int. J. Knowl. Based Intell. Eng. Syst. 16(4): 261-277 (2012)
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