Rajesh Kumar Tripathy

25 papers Journal 21Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Automated human emotion recognition from EEG signals using chaotic local binary pattern and ensemble learning.
Int. J. Mach. Learn. Cybern.
Himanshu Chhabra, Raveendrababu Vempati, Urvashi Chauhan, Prince Jain, Rajesh Kumar Tripathy, Lakhan Dev Sharma
2025 J jnl
Cross-Subject Emotion Recognition From Multichannel EEG Signals Using Multivariate Decomposition and Ensemble Learning.
IEEE Trans. Cogn. Dev. Syst.
Raveendrababu Vempati, Lakhan Dev Sharma, Rajesh Kumar Tripathy
2025 J jnl
Detection of Bundle Branch Block From 12-Lead ECG Using Fifth-Order Tensor-Domain Machine Learning.
IEEE Trans. Hum. Mach. Syst.
Chhaviraj Chauhan, Rajesh Kumar Tripathy, Monika Agrawal
2025 J jnl
SERN-AwGOP: Squeeze-and-Excitation Residual Network With an Attention-Weighted Generalized Operational Perceptron for Atrial Fibrillation Detection.
IEEE Access
Soumil Hooda, Rajesh Kumar Tripathy
2025 J jnl
Time-frequency domain machine learning for detection of epilepsy using wearable EEG sensor signals recorded during physical activities.
Biomed. Signal Process. Control.
Shaswati Dash, Dinesh Kumar Dash, Rajesh Kumar Tripathy, Ram Bilas Pachori
2024 J jnl
A Lightweight Deep Convolutional Neural Network Implemented on FPGA and Android Devices for Detection of Breast Cancer Using Ultrasound Images.
IEEE Access
Aditya Vinod, Prabhav Guddati, Amit Kumar Panda, Rajesh Kumar Tripathy
2024 J jnl
FPGA Implementation of the Proposed DCNN Model for Detection of Tuberculosis and Pneumonia Using CXR Images.
IEEE Embed. Syst. Lett.
Prabhav Guddati, Shaswati Dash, Rajesh Kumar Tripathy
2024 — conf
Multi-Frequency-Aware Patch Adversarial Learning for Neural Point Cloud Rendering.
AIM
Jay Karhade, Haiyue Zhu, Ka-Shing Chung, Rajesh Kumar Tripathy, Wei Lin, Marcelo H. Ang
2023 J jnl
Detection of Myocardial Infarction From 12-Lead ECG Trace Images Using Eigendomain Deep Representation Learning.
IEEE Trans. Instrum. Meas.
Sathvik Bhaskarpandit, Anurag Gade, Shaswati Dash, Dinesh Kumar Dash, Rajesh Kumar Tripathy, Ram Bilas Pachori
2023 J jnl
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.
Shaswati Dash, Pranjali Gajbhiye, Phattarapong Sawangjai, Guntitat Sawadwuthikul, Thapanun Sudhawiyangkul, Rajesh Kumar Tripathy, Ram Bilas Pachori
2023 J jnl
Exploiting Tunable Q-Factor Wavelet Transform Domain Sparsity to Denoise Wrist PPG Signals.
IEEE Trans. Instrum. Meas.
Shresth Gupta, Anurag Singh, Abhishek Sharma, Rajesh Kumar Tripathy
2023 J jnl
Multi-Channel Time-Frequency Domain Deep CNN Approach for Machinery Fault Recognition Using Multi-Sensor Time-Series.
IEEE Access
Rakesh Reddy Yakkati, Sreenivasa Reddy Yeduri, Rajesh Kumar Tripathy, Linga Reddy Cenkeramaddi
2023 J jnl
Multiscale Analysis Domain Interpretable Deep Neural Network for Detection of Breast Cancer Using Thermogram Images.
IEEE Trans. Instrum. Meas.
Anurag Gade, Dinesh Kumar Dash, T. Mita Kumari, Samit Kumar Ghosh, Rajesh Kumar Tripathy, Ram Bilas Pachori
2023 J jnl
Patient specific higher order tensor based approach for the detection and localization of myocardial infarction using 12-lead ECG.
Biomed. Signal Process. Control.
Chhaviraj Chauhan, Rajesh Kumar Tripathy, Monika Agrawal
2023 — conf
Tensor-Domain Machine Learning Based Cardiac Diseases Detection Using 12-lead ECG.
NCC
Chhaviraj Chauhan, Rajesh Kumar Tripathy, Monika Agrawal
2023 J jnl
Time frequency domain deep CNN for automatic background classification in speech signals.
Int. J. Speech Technol.
Rakesh Reddy Yakkati, Sreenivasa Reddy Yeduri, Rajesh Kumar Tripathy, Linga Reddy Cenkeramaddi
2023 — conf
Time-Frequency Domain Modified Vision Transformer Model for Detection of Atrial Fibrillation using Multi-lead ECG Signals.
NCC
Haarika Manda, Shaswati Dash, Rajesh Kumar Tripathy
2022 J jnl
Automated Heart Sound Activity Detection From PCG Signal Using Time-Frequency-Domain Deep Neural Network.
IEEE Trans. Instrum. Meas.
Samit Kumar Ghosh, R. N. Ponnalagu, Rajesh Kumar Tripathy, Ganapati Panda, Ram Bilas Pachori
2022 J jnl
Detection of COVID19 from X-ray images using multiscale Deep Convolutional Neural Network.
Appl. Soft Comput.
Neha Muralidharan, Shaurya Gupta, Manas Ranjan Prusty, Rajesh Kumar Tripathy
2022 J jnl
ECG beat classification based on discriminative multilevel feature analysis and deep learning approach.
Biomed. Signal Process. Control.
Nabanita Sinha, Rajesh Kumar Tripathy, Arpita Das
2022 J jnl
EEGANet: Removal of Ocular Artifacts From the EEG Signal Using Generative Adversarial Networks.
IEEE J. Biomed. Health Informatics
Phattarapong Sawangjai, Manatsanan Trakulruangroj, Chiraphat Boonnag, Maytus Piriyajitakonkij, Rajesh Kumar Tripathy, Thapanun Sudhawiyangkul, Theerawit Wilaiprasitporn
2022 J jnl
Time-Frequency-Domain Deep Learning Framework for the Automated Detection of Heart Valve Disorders Using PCG Signals.
IEEE Trans. Instrum. Meas.
Jay Karhade, Shaswati Dash, Samit Kumar Ghosh, Dinesh Kumar Dash, Rajesh Kumar Tripathy
2021 — conf
Classification of PCG Signals using Fourier-based Synchrosqueezing Transform and Support Vector Machine.
IEEE SENSORS
Samit Kumar Ghosh, Rajesh Kumar Tripathy, R. N. Ponnalagu
2021 J jnl
Wavelet Domain Optimized Savitzky-Golay Filter for the Removal of Motion Artifacts From EEG Recordings.
IEEE Trans. Instrum. Meas.
Pranjali Gajbhiye, Nopparada Mingchinda, Wei Chen, Subhas Chandra Mukhopadhyay, Theerawit Wilaiprasitporn, Rajesh Kumar Tripathy
2020 J jnl
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
Rajesh Kumar Tripathy, Samit Kumar Ghosh, Pranjali Gajbhiye, U. Rajendra Acharya