تصفح Electrical Engineering حسب المؤلف "Mahbub, Zaid Bin"
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Fetal ECG extraction from maternal ECG using deeply supervised LinkNet++ model
Arafat, Rahman; Mahmud, Sakib; Chowdhury, Muhammad E.H.; Yalcin, Huseyin Cagatay; Khandakar, Amith; Mutlu, Onur; Mahbub, Zaid Bin; Kamal, Reema Yousef; Pedersen, Shona... more authors ... less authors ( Elsevier , 2023 , Article)Fetal heart monitoring and early disease detection using non-invasive fetal electrocardiograms (fECG) can help substantially to reduce infant death through improved diagnosis of Coronary Heart Disease (CHD) in the fetus. ... -
NDDNet: a deep learning model for predicting neurodegenerative diseases from gait pattern
Faisal, Md Ahasan Atick; Chowdhury, Muhammad E.H.; Mahbub, Zaid Bin; Pedersen, Shona; Ahmed, Mosabber Uddin; Khandakar, Amith; Alhatou, Mohammed; Nabil, Mohammad; Ara, Iffat; Bhuiyan, Enamul Haque; Mahmud, Sakib; AbdulMoniem, Mohammed... more authors ... less authors ( Springer Nature , 2023 , Article)Neurodegenerative diseases damage neuromuscular tissues and deteriorate motor neurons which affects the motor capacity of the patient. Particularly the walking gait is greatly influenced by the deterioration process. Early ... -
Signer-Independent Arabic Sign Language Recognition System Using Deep Learning Model
Podder, Kanchon Kanti; Ezeddin, Maymouna; Chowdhury, Muhammad E.H.; Sumon, Md Shaheenur Islam; Tahir, Anas M.; Ayari, Mohamed Arselene; Dutta, Proma; Khandakar, Amith; Mahbub, Zaid Bin; Kadir, Muhammad Abdul... more authors ... less authors ( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)Every one of us has a unique manner of communicating to explore the world, and such communication helps to interpret life. Sign language is the popular language of communication for hearing and speech-disabled people. When ...