Rajesh Kumar Tripathy

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 17

Top Topics

Wavelet Transform

Automated Detection

Top Venues

IEEE Trans. Instrum. Meas.

Biomed. Signal Process. Control.

Int. J. Speech Technol.

Publications

Rakesh Reddy Yakkati, Sreenivasa Reddy Yeduri, Rajesh Kumar Tripathy, Linga Reddy Cenkeramaddi
Time frequency domain deep CNN for automatic background classification in speech signals. Int. J. Speech Technol. 26 (3) (2023)
Chhaviraj Chauhan, Rajesh Kumar Tripathy, Monika Agrawal
Tensor-Domain Machine Learning Based Cardiac Diseases Detection Using 12-lead ECG. NCC (2023)
Shresth Gupta, Anurag Singh, Abhishek Sharma, Rajesh Kumar Tripathy
Exploiting Tunable Q-Factor Wavelet Transform Domain Sparsity to Denoise Wrist PPG Signals. IEEE Trans. Instrum. Meas. 72 (2023)
Anurag Gade, Dinesh Kumar Dash, T. Mita Kumari, Samit Kumar Ghosh, Rajesh Kumar Tripathy, Ram Bilas Pachori
Multiscale Analysis Domain Interpretable Deep Neural Network for Detection of Breast Cancer Using Thermogram Images. IEEE Trans. Instrum. Meas. 72 (2023)
Chhaviraj Chauhan, Rajesh Kumar Tripathy, Monika Agrawal
Patient specific higher order tensor based approach for the detection and localization of myocardial infarction using 12-lead ECG. Biomed. Signal Process. Control. 83 (2023)
Sathvik Bhaskarpandit, Anurag Gade, Shaswati Dash, Dinesh Kumar Dash, Rajesh Kumar Tripathy, Ram Bilas Pachori
Detection of Myocardial Infarction From 12-Lead ECG Trace Images Using Eigendomain Deep Representation Learning. IEEE Trans. Instrum. Meas. 72 (2023)
Haarika Manda, Shaswati Dash, Rajesh Kumar Tripathy
Time-Frequency Domain Modified Vision Transformer Model for Detection of Atrial Fibrillation using Multi-lead ECG Signals. NCC (2023)
Shaswati Dash, Pranjali Gajbhiye, Phattarapong Sawangjai, Guntitat Sawadwuthikul, Thapanun Sudhawiyangkul, Rajesh Kumar Tripathy, Ram Bilas Pachori
Dyadic boundary points based empirical wavelet transform for the elimination of eye movement and eye blink-based ocular artifacts from EEG signals. Biomed. Signal Process. Control. 85 (2023)
Rakesh Reddy Yakkati, Sreenivasa Reddy Yeduri, Rajesh Kumar Tripathy, Linga Reddy Cenkeramaddi
Multi-Channel Time-Frequency Domain Deep CNN Approach for Machinery Fault Recognition Using Multi-Sensor Time-Series. IEEE Access 11 (2023)
Jay Karhade, Shaswati Dash, Samit Kumar Ghosh, Dinesh Kumar Dash, Rajesh Kumar Tripathy
Time-Frequency-Domain Deep Learning Framework for the Automated Detection of Heart Valve Disorders Using PCG Signals. IEEE Trans. Instrum. Meas. 71 (2022)
Phattarapong Sawangjai, Manatsanan Trakulruangroj, Chiraphat Boonnag, Maytus Piriyajitakonkij, Rajesh Kumar Tripathy, Thapanun Sudhawiyangkul, Theerawit Wilaiprasitporn
EEGANet: Removal of Ocular Artifacts From the EEG Signal Using Generative Adversarial Networks. IEEE J. Biomed. Health Informatics 26 (10) (2022)
Nabanita Sinha, Rajesh Kumar Tripathy, Arpita Das
ECG beat classification based on discriminative multilevel feature analysis and deep learning approach. Biomed. Signal Process. Control. 78 (2022)
Neha Muralidharan, Shaurya Gupta, Manas Ranjan Prusty, Rajesh Kumar Tripathy
Detection of COVID19 from X-ray images using multiscale Deep Convolutional Neural Network. Appl. Soft Comput. 119 (2022)
Samit Kumar Ghosh, R. N. Ponnalagu, Rajesh Kumar Tripathy, Ganapati Panda, Ram Bilas Pachori
Automated Heart Sound Activity Detection From PCG Signal Using Time-Frequency-Domain Deep Neural Network. IEEE Trans. Instrum. Meas. 71 (2022)
Samit Kumar Ghosh, Rajesh Kumar Tripathy, Ponnalagu R. N
Classification of PCG Signals using Fourier-based Synchrosqueezing Transform and Support Vector Machine. IEEE SENSORS (2021)
Pranjali Gajbhiye, Nopparada Mingchinda, Wei Chen, Subhas Chandra Mukhopadhyay, Theerawit Wilaiprasitporn, Rajesh Kumar Tripathy
Wavelet Domain Optimized Savitzky-Golay Filter for the Removal of Motion Artifacts From EEG Recordings. IEEE Trans. Instrum. Meas. 70 (2021)
Rajesh Kumar Tripathy, Samit Kumar Ghosh, Pranjali Gajbhiye, U. Rajendra Acharya
Development of Automated Sleep Stage Classification System Using Multivariate Projection-Based Fixed Boundary Empirical Wavelet Transform and Entropy Features Extracted from Multichannel EEG Signals. Entropy 22 (10) (2020)