Anurag Singh

Orcid: 0000-0002-3639-2777

Affiliations:
  • International Institute of Information Technology, Naya Raipur, Raipur, India


According to our database1, Anurag Singh authored at least 29 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
SLiTRANet: An EEG-Based Automated Diagnosis Framework for Major Depressive Disorder Monitoring Using a Novel LGCN and Transformer-Based Hybrid Deep Learning Approach.
IEEE Access, 2024

Exploring CEEMDAN and LMD Domains Entropy Features for Decoding EEG-Based Emotion Patterns.
IEEE Access, 2024

2023
Exploiting Tunable Q-Factor Wavelet Transform Domain Sparsity to Denoise Wrist PPG Signals.
IEEE Trans. Instrum. Meas., 2023

Multi-User mmWave Massive-MIMO Hybrid Beamforming: A Quantize Deep Learning Approach.
Proceedings of the 28th National Conference on Communications, 2023

PPG-based End-to-End Framework for Cuffless Blood Pressure Estimation Using CNN-LSTM.
Proceedings of the 28th National Conference on Communications, 2023

Skin-Vision: An Innovative Mobile-Based Automated Skin Disease Detection Application.
Proceedings of the OITS International Conference on Information Technology, 2023

2022
Normal Inverse Gaussian Features for EEG-Based Automatic Emotion Recognition.
IEEE Trans. Instrum. Meas., 2022

Decoder Design for Massive-MIMO Systems Using Deep Learning.
IEEE Syst. J., 2022

Swarm-based optimally selected histogram computation system for image enhancement.
Neural Comput. Appl., 2022

Automatic Modulation Recognition: An FPGA Implementation.
IEEE Commun. Lett., 2022

Learning DenseNet features from EEG based spectrograms for subject independent emotion recognition.
Biomed. Signal Process. Control., 2022

Energy-Based DCT Approach for PPG Compression.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Investigation of Feature Importance for Blood Pressure Estimation Using Photoplethysmogram.
Proceedings of the Computer Vision and Machine Intelligence, 2022

Deep Learning Aided Multi-user mmWave massive-MIMO Hybrid Beamforming.
Proceedings of the IEEE International Conference on Advanced Networks and Telecommunications Systems, 2022

Power allocation in 5G HetNets: A Federated Learning Approach.
Proceedings of the IEEE International Conference on Advanced Networks and Telecommunications Systems, 2022

2021
Spatial Context Energy Curve-Based Multilevel 3-D Otsu Algorithm for Image Segmentation.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Insect Detection and Identification using YOLO Algorithms on Soybean Crop.
Proceedings of the IEEE Region 10 Conference, 2021

2020
Exposure-Based Energy Curve Equalization for Enhancement of Contrast Distorted Images.
IEEE Trans. Circuits Syst. Video Technol., 2020

Low-contrast image enhancement using spatial contextual similarity histogram computation and color reconstruction.
J. Frankl. Inst., 2020

Variational Mode Decomposition-Based Multilevel Threshold Selection Scheme for Color Image Segmentation.
Circuits Syst. Signal Process., 2020

A novel reformed histogram equalization based medical image contrast enhancement using krill herd optimization.
Biomed. Signal Process. Control., 2020

Convolutional Neural Network Based Criminal Detection.
Proceedings of the 2020 IEEE Region 10 Conference, 2020

Ensemble Algorithms for EEG based Emotion Recognition.
Proceedings of the 2020 National Conference on Communications, 2020

2019
Hardware Implementation of Automatic Modulation Classification with Deep Learning.
Proceedings of the 2019 IEEE International Conference on Advanced Networks and Telecommunications Systems, 2019

Deep Learning Based Massive-MIMO Decoder.
Proceedings of the 2019 IEEE International Conference on Advanced Networks and Telecommunications Systems, 2019

2016
Weighted mixed-norm minimization based joint compressed sensing recovery of multi-channel electrocardiogram signals.
Comput. Electr. Eng., 2016

Multi-channel ECG data compression using compressed sensing in eigenspace.
Comput. Biol. Medicine, 2016

Exploiting multi-scale signal information in joint compressed sensing recovery of multi-channel ECG signals.
Biomed. Signal Process. Control., 2016

2015
Compressed sensing framework of data reduction at multiscale level for eigenspace multichannel ECG signals.
Proceedings of the Twenty First National Conference on Communications, 2015


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