Md. Shafayet Hossain

Orcid: 0000-0001-5365-2182

According to our database1, Md. Shafayet Hossain authored at least 13 papers between 2021 and 2024.

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

Timeline

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Bibliography

2024
Restoration of motion-corrupted EEG signals using attention-guided operational CycleGAN.
Eng. Appl. Artif. Intell., 2024

Novel multimodal emotion detection method using Electroencephalogram and Electrocardiogram signals.
Biomed. Signal Process. Control., 2024

2023
MLMRS-Net: Electroencephalography (EEG) motion artifacts removal using a multi-layer multi-resolution spatially pooled 1D signal reconstruction network.
Neural Comput. Appl., April, 2023

NABNet: A Nested Attention-guided BiConvLSTM network for a robust prediction of Blood Pressure components from reconstructed Arterial Blood Pressure waveforms using PPG and ECG signals.
Biomed. Signal Process. Control., 2023

2022
Bangla Sign Language (BdSL) Alphabets and Numerals Classification Using a Deep Learning Model.
Sensors, 2022

A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals.
Sensors, 2022

Motion Artifacts Correction from Single-Channel EEG and fNIRS Signals Using Novel Wavelet Packet Decomposition in Combination with Canonical Correlation Analysis.
Sensors, 2022

QCovSML: A reliable COVID-19 detection system using CBC biomarkers by a stacking machine learning model.
Comput. Biol. Medicine, 2022

Robust biometric system using session invariant multimodal EEG and keystroke dynamics by the ensemble of self-ONNs.
Comput. Biol. Medicine, 2022

An investigation to study the effects of Tai Chi on human gait dynamics using classical machine learning.
Comput. Biol. Medicine, 2022

Motion Artifacts Correction From EEG and fNIRS Signals Using Novel Multiresolution Analysis.
IEEE Access, 2022

2021
A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals.
CoRR, 2021

A Novel Non-Invasive Estimation of Respiration Rate From Motion Corrupted Photoplethysmograph Signal Using Machine Learning Model.
IEEE Access, 2021


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