Compressed sensing framework of data reduction at multiscale level for eigenspace multichannel ECG signals. - Anurag Singh 002; Jiss J. Nallikuzhy; Samarendra Dandapat (NCC, 2015)

Exploiting multi-scale signal information in joint compressed sensing recovery of multi-channel ECG signals. - Anurag Singh 002; Samarendra Dandapat (Biomed. Signal Process. Control., 2016)

Multi-channel ECG data compression using compressed sensing in eigenspace. - Anurag Singh 002; L. N. Sharma; Samarendra Dandapat (Comput. Biol. Medicine, 2016)

Weighted mixed-norm minimization based joint compressed sensing recovery of multi-channel electrocardiogram signals. - Anurag Singh 002; Samarendra Dandapat (Comput. Electr. Eng., 2016)

Deep Learning Based Massive-MIMO Decoder. - Satish Kumar; Anurag Singh 002; Rajarshi Mahapatra (ANTS, 2019)

Hardware Implementation of Automatic Modulation Classification with Deep Learning. - Satish Kumar; Anurag Singh 002; Rajarshi Mahapatra (ANTS, 2019)

Ensemble Algorithms for EEG based Emotion Recognition. - Nalini Pusarla; Anurag Singh 002; Shrivishal Tripathi (NCC, 2020)

Convolutional Neural Network Based Criminal Detection. - Harsh Verma; Siddharth Lotia; Anurag Singh 002 (TENCON, 2020)

A novel reformed histogram equalization based medical image contrast enhancement using krill herd optimization. - Pankaj Kandhway; Ashish Kumar Bhandari; Anurag Singh 002 (Biomed. Signal Process. Control., 2020)

Variational Mode Decomposition-Based Multilevel Threshold Selection Scheme for Color Image Segmentation. - Neha Singh; Ashish Kumar Bhandari; Anurag Singh 002 (Circuits Syst. Signal Process., 2020)

Low-contrast image enhancement using spatial contextual similarity histogram computation and color reconstruction. - Kankanala Srinivas; Ashish Kumar Bhandari; Anurag Singh 002 (J. Frankl. Inst., 2020)

Exposure-Based Energy Curve Equalization for Enhancement of Contrast Distorted Images. - Kankanala Srinivas; Ashish Kumar Bhandari; Anurag Singh 002 (IEEE Trans. Circuits Syst. Video Technol., 2020)

Insect Detection and Identification using YOLO Algorithms on Soybean Crop. - Shani Verma; Shrivishal Tripathi; Anurag Singh 002; Muneendra Ojha; Ravi R. Saxena (TENCON, 2021)

Spatial Context Energy Curve-Based Multilevel 3-D Otsu Algorithm for Image Segmentation. - Ashish Kumar Bhandari; Anurag Singh 002; Immadisetty Vinod Kumar (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Power allocation in 5G HetNets: A Federated Learning Approach. - Satish Kumar; Rajarshi Mahapatra; Anurag Singh 002 (ANTS, 2022)

Deep Learning Aided Multi-user mmWave massive-MIMO Hybrid Beamforming. - Satish Kumar; Rajarshi Mahapatra; Anurag Singh 002 (ANTS, 2022)

Investigation of Feature Importance for Blood Pressure Estimation Using Photoplethysmogram. - Shyamal Krishna Agrawal; Shresth Gupta; Aman Kumar; Lakhindar Murmu; Anurag Singh 002 (CVMI, 2022)

Energy-Based DCT Approach for PPG Compression. - Shresth Gupta; Anurag Singh 002; Abhishek Sharma (EMBC, 2022)

Learning DenseNet features from EEG based spectrograms for subject independent emotion recognition. - Nalini Pusarla; Anurag Singh 002; Shrivishal Tripathi (Biomed. Signal Process. Control., 2022)

Automatic Modulation Recognition: An FPGA Implementation. - Satish Kumar; Rajarshi Mahapatra; Anurag Singh 002 (IEEE Commun. Lett., 2022)

Swarm-based optimally selected histogram computation system for image enhancement. - Ashish Kumar Bhandari; Neha Singh; Anurag Singh 002 (Neural Comput. Appl., 2022)

Decoder Design for Massive-MIMO Systems Using Deep Learning. - Satish Kumar; Rajarshi Mahapatra; Preetam Kumar; Anurag Singh 002 (IEEE Syst. J., 2022)

Normal Inverse Gaussian Features for EEG-Based Automatic Emotion Recognition. - Nalini Pusarla; Anurag Singh 002; Shrivishal Tripathi (IEEE Trans. Instrum. Meas., 2022)

Skin-Vision: An Innovative Mobile-Based Automated Skin Disease Detection Application. - Garika Akshay; Mohammad Irfan; K. G. Srinivasa 001; Anurag Singh 002 (OCIT, 2023)

PPG-based End-to-End Framework for Cuffless Blood Pressure Estimation Using CNN-LSTM. - Shresth Gupta; Anurag Singh 002; Abhishek Sharma (NCC, 2023)

Multi-User mmWave Massive-MIMO Hybrid Beamforming: A Quantize Deep Learning Approach. - Satish Kumar; Rajarshi Mahapatra; Anurag Singh 002 (NCC, 2023)

Exploiting Tunable Q-Factor Wavelet Transform Domain Sparsity to Denoise Wrist PPG Signals. - Shresth Gupta; Anurag Singh 002; Abhishek Sharma; Rajesh Kumar Tripathy (IEEE Trans. Instrum. Meas., 2023)

Optimizing Wheat Ear Head Detection and Yield Estimation Through UAV Based Imagery. - Aadi Krishna Vikram; Ashish Agrawal; Ankit Ranjan; Shubham Shinde; Swapnil Jalihale; Anurag Singh 002; Shrivishal Tripathi; Smitha Kurup; Bharat Char (TENCON, 2024)

Exploring CEEMDAN and LMD Domains Entropy Features for Decoding EEG-Based Emotion Patterns. - Nalini Pusarla; Anurag Singh 002; Shrivishal Tripathi; Avinash Vujji; Ram Bilas Pachori (IEEE Access, 2024)

SLiTRANet: An EEG-Based Automated Diagnosis Framework for Major Depressive Disorder Monitoring Using a Novel LGCN and Transformer-Based Hybrid Deep Learning Approach. - Sagnik de; Anurag Singh 002; Vivek Tiwari; Harshita Patel; G. N. Vivekananda; Dharmendra Singh Rajput (IEEE Access, 2024)

A learning-based uplink massive-MIMO decoder. - Satish Kumar; Rajarshi Mahapatra; Anurag Singh 002 (Wirel. Networks, 2025)