Detection and power quality disturbance classification based on wavelet packet decomposition and modified immune optimization algorithm. - Birendra Biswal; S. Mishra; Pradyut Kumar Biswal; Telagarapu Prabhakar (Int. J. Knowl. Based Intell. Eng. Syst., 2012)

Parallel architecture for accelerating affine transform in high-speed imaging systems. - Pradyut Kumar Biswal; Pulak Mondal; Swapna Banerjee (J. Real Time Image Process., 2013)

Robust ECG artifact removal from EEG using continuous wavelet transformation and linear regression. - Chinmayee Dora; Pradyut Kumar Biswal (SPCOM, 2016)

FPGA based accelerated 3D affine transform for real-time image processing applications. - Pulak Mondal; Pradyut Kumar Biswal; Swapna Banerjee (Comput. Electr. Eng., 2016)

Probabilistic Histogram-Based Band Selection and Its Effect on Classification of Hyperspectral Images. - Ram Narayan Patro; Subhashree Subudhi; Pradyut Kumar Biswal; Harish Kumar Sahoo (SocProS (1), 2017)

PSO-Based Synthetic Minority Oversampling Technique for Classification of Reduced Hyperspectral Image. - Subhashree Subudhi; Ram Narayan Patro; Pradyut Kumar Biswal (SocProS (1), 2017)

Implementation of Linear Discriminant Analysis for Odia Numeral Recognition. - Om Prakash Jena; Sateesh Kumar Pradhan; Pradyut Kumar Biswal; Sradhanjali Nayak (ICIT, 2018)

ECG Artifact Removal of EEG signal using Adaptive Neural Network. - Lipsa Routray; Pradyut Kumar Biswal; Satya Ranjan Pattanaik (ICIIS, 2018)

An ELM Based Regression Model for ECG Artifact Minimization from Single Channel EEG. - Chinmayee Dora; Pradyut Kumar Biswal (IDEAL (1), 2018)

Efficient classification of ventricular arrhythmias using feature selection and C4.5 classifier. - Monalisa Mohanty; Santanu Kumar Sahoo; Pradyut Kumar Biswal; Sukanta Sabut (Biomed. Signal Process. Control., 2018)

A Frequency Division Based Approach for EMG Artifact Minimization from Single Channel EEG. - Chinmayee Dora; Pradyut Kumar Biswal (ICIT, 2019)

Superpixel Clustering Based Segmentation Algorithm for Hyperspectral Image Classification. - Subhashree Subudhi; Ram Nayaran Patro; Pradyut Kumar Biswal (ICIT, 2019)

Efficient Hardware Implementation of Switching Median Filter for extraction of Extremely High Impulse Noise Corrupted Images. - Sushant Sadangi; Satyakam Baraha; Pradyut Kumar Biswal (TENCON, 2019)

Efficient detection and correction of variable strength ECG artifact from single channel EEG. - Chinmayee Dora; Pradyut Kumar Biswal (Biomed. Signal Process. Control., 2019)

Spectral clustering and spatial Frobenius norm-based Jaya optimisation for BS of hyperspectral images. - Ram Narayan Patro; Subhashree Subudhi; Pradyut Kumar Biswal (IET Image Process., 2019)

An efficient error-minimized random vector functional link network for epileptic seizure classification using VMD. - Susanta Kumar Rout; Pradyut Kumar Biswal (Biomed. Signal Process. Control., 2020)

Correlation-based ECG Artifact Correction from Single Channel EEG using Modified Variational Mode Decomposition. - Chinmayee Dora; Pradyut Kumar Biswal (Comput. Methods Programs Biomed., 2020)

Machine learning approach to recognize ventricular arrhythmias using VMD based features. - Monalisa Mohanty; Pradyut Kumar Biswal; Sukanta Sabut (Multidimens. Syst. Signal Process., 2020)

Robust classification of neovascularization using random forest classifier via convoluted vascular network. - Geetha Pavani Pappu; Birendra Biswal; Pradyut Kumar Biswal (Biomed. Signal Process. Control., 2021)

Multifuse multilayer multikernel RVFLN+ of process modes decomposition and approximate entropy data from iEEG/sEEG signals for epileptic seizure recognition. - Susanta Kumar Rout; Mrutyunjaya Sahani; P. K. Dash; Pradyut Kumar Biswal (Comput. Biol. Medicine, 2021)

An exclusive-disjunction-based detection of neovascularisation using multi-scale CNN. - Geetha Pavani Pappu; Birendra Biswal; M. V. S. Sairam; Pradyut Kumar Biswal (IET Image Process., 2021)

Classification of ventricular arrhythmias using empirical mode decomposition and machine learning algorithms. - Monalisa Mohanty; Manasa Dash; Pradyut Kumar Biswal; Sukanta Sabut (Prog. Artif. Intell., 2021)

A Survey on Superpixel Segmentation as a Preprocessing Step in Hyperspectral Image Analysis. - Subhashree Subudhi; Ram Narayan Patro; Pradyut Kumar Biswal; Fabio Dell'Acqua (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

An efficient epileptic seizure classification system using empirical wavelet transform and multi-fuse reduced deep convolutional neural network with digital implementation. - Susanta Kumar Rout; Mrutyunjaya Sahani; Chinmayee Dora; Pradyut Kumar Biswal; Birendra Biswal (Biomed. Signal Process. Control., 2022)

A deeply supervised maximum response texton based SegNet for simultaneous multi retinal lesion segmentation. - Geetha Pavani Pappu; Talabhakthula Krishna; Birendra Biswal; Prakash Kumar Karn; Pradyut Kumar Biswal; Shazia Hasan; Debasish Nayak (Int. J. Imaging Syst. Technol., 2022)

Texture-based superpixel segmentation algorithm for classification of hyperspectral images. - Pradyut Kumar Biswal; Kanhu Charan Bhuyan; Ram Narayan Patro; Subhashree Subudhi (Int. J. Comput. Sci. Eng., 2024)

A robust segmentation of retinal fluids from OCT images using MCFAR-net. - Geetha Pavani Pappu; Birendra Biswal; Srinivasa Rao Kandula; Pradyut Kumar Biswal; G. Siddartha; T. Niranjan; N. BalaSubrahmanyam (Neurocomputing, 2024)

Trade-off between bagging and boosting for quantum separability-entanglement classification. - Sanuja D. Mohanty; Ram Narayan Patro; Pradyut Kumar Biswal; Biswajit Pradhan; Sk Sazim (Quantum Inf. Process., 2024)