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:
Collaborative distances:
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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