Browsing Technology Innovation and Engineering Education Unit by Author "Islam, Mohammad T."
Now showing items 1-2 of 2
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A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals
Mahmud, Sakib; Ibtehaz, Nabil; Khandakar, Amith; Tahir, Anas M.; Rahman, Tawsifur; Islam, Khandaker R.; Hossain, Md S.; Rahman, M. S.; Musharavati, Farayi; Ayari, Mohamed A.; Islam, Mohammad T.; Chowdhury, Muhammad E. H.... more authors ... less authors ( MDPI , 2022 , Article)Cardiovascular diseases are the most common causes of death around the world. To detect and treat heart-related diseases, continuous blood pressure (BP) monitoring along with many other parameters are required. Several ... -
Automatic and Reliable Leaf Disease Detection Using Deep Learning Techniques
Chowdhury, Muhammad E. H.; Rahman, Tawsifur; Khandakar, Amith; Ayari, Mohamed A.; Khan, Aftab U.; Khan, Muhammad S.; Al-Emadi, Nasser; Reaz, Mamun B.; Islam, Mohammad T.; Ali, Sawal H.... more authors ... less authors ( MDPI , 2021 , Article)Plants are a major source of food for the world population. Plant diseases contribute to production loss, which can be tackled with continuous monitoring. Manual plant disease monitoring is both laborious and error-prone. ...