Zaid Bin Mahbub
Orcid: 0000-0003-3877-0177
According to our database1,
Zaid Bin Mahbub
authored at least 18 papers
between 2020 and 2024.
Collaborative distances:
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Bibliography
2024
Restoration of magnetohydrodynamic-corrupted 12-lead electrocardiogram to enhance cardiac monitoring during magnetic resonance imaging.
Eng. Appl. Artif. Intell., 2024
2023
NDDNet: a deep learning model for predicting neurodegenerative diseases from gait pattern.
Appl. Intell., September, 2023
Signer-Independent Arabic Sign Language Recognition System Using Deep Learning Model.
Sensors, August, 2023
BIO-CXRNET: a robust multimodal stacking machine learning technique for mortality risk prediction of COVID-19 patients using chest X-ray images and clinical data.
Neural Comput. Appl., August, 2023
Machine learning-based classification of healthy and impaired gaits using 3D-GRF signals.
Biomed. Signal Process. Control., March, 2023
Eng. Appl. Artif. Intell., 2023
2022
Bangla Sign Language (BdSL) Alphabets and Numerals Classification Using a Deep Learning Model.
Sensors, 2022
Design and Implementation of a Smart Insole System to Measure Plantar Pressure and Temperature.
Sensors, 2022
Thermal Change Index-Based Diabetic Foot Thermogram Image Classification Using Machine Learning Techniques.
Sensors, 2022
Design, Implementation, and Performance Evaluation of a Fiber Bragg Gratings(FBG) based Smart Insole to Measure Plantar Pressure and Temperature.
CoRR, 2022
2021
A Novel Non-Invasive Estimation of Respiration Rate from Photoplethysmograph Signal Using Machine Learning Model.
CoRR, 2021
A Novel Non-Invasive Estimation of Respiration Rate From Motion Corrupted Photoplethysmograph Signal Using Machine Learning Model.
IEEE Access, 2021
2020
Estimating Blood Pressure from the Photoplethysmogram Signal and Demographic Features Using Machine Learning Techniques.
Sensors, 2020
Reliable Tuberculosis Detection using Chest X-ray with Deep Learning, Segmentation and Visualization.
CoRR, 2020
Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection using Chest X-ray.
CoRR, 2020
Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization.
IEEE Access, 2020