Showing 1 - 17 results of 17 for search 'Tawsifur Rahman', query time: 0.64s
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Estimating the Relative Crystallinity of Biodegradable Polylactic Acid and Polyglycolide Polymer Composites by Machine Learning Methodologies by Jing Wang, Mohamed Arselene Ayari, Amith Khandakar, Muhammad E. H. Chowdhury, Sm Ashfaq Uz Zaman, Tawsifur Rahman, Behzad Vaferi
Published 2022-01-01
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Estimating the Dissolution of Anticancer Drugs in Supercritical Carbon Dioxide with a Stacked Machine Learning Model by Maryam Najmi, Mohamed Arselene Ayari, Hamidreza Sadeghsalehi, Behzad Vaferi, Amith Khandakar, Muhammad E. H. Chowdhury, Tawsifur Rahman, Zanko Hassan Jawhar
Published 2022-08-01
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Deep Learning Technique for Congenital Heart Disease Detection Using Stacking-Based CNN-LSTM Models From Fetal Echocardiogram: A Pilot Study by Tawsifur Rahman, Mahmoud Khatib A. A. Al-Ruweidi, Md. Shaheenur Islam Sumon, Reema Yousef Kamal, Muhammad E. H. Chowdhury, Huseyin C. Yalcin
Published 2023-01-01
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Brain Tumor Segmentation and Classification from Sensor-Based Portable Microwave Brain Imaging System Using Lightweight Deep Learning Models by Amran Hossain, Mohammad Tariqul Islam, Tawsifur Rahman, Muhammad E. H. Chowdhury, Anas Tahir, Serkan Kiranyaz, Kamarulzaman Mat, Gan Kok Beng, Mohamed S. Soliman
Published 2023-02-01
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A Lightweight Deep Learning Based Microwave Brain Image Network Model for Brain Tumor Classification Using Reconstructed Microwave Brain (RMB) Images by Amran Hossain, Mohammad Tariqul Islam, Sharul Kamal Abdul Rahim, Md Atiqur Rahman, Tawsifur Rahman, Haslina Arshad, Amit Khandakar, Mohamed Arslane Ayari, Muhammad E. H. Chowdhury
Published 2023-02-01
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Detection and Severity Classification of COVID-19 in CT Images Using Deep Learning by Yazan Qiblawey, Anas Tahir, Muhammad E. H. Chowdhury, Amith Khandakar, Serkan Kiranyaz, Tawsifur Rahman, Nabil Ibtehaz, Sakib Mahmud, Somaya Al Maadeed, Farayi Musharavati, Mohamed Arselene Ayari
Published 2021-05-01
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Prognostic Model of ICU Admission Risk in Patients with COVID-19 Infection Using Machine Learning by Khandaker Reajul Islam, Jaya Kumar, Toh Leong Tan, Mamun Bin Ibne Reaz, Tawsifur Rahman, Amith Khandakar, Tariq Abbas, Md. Sakib Abrar Hossain, Susu M. Zughaier, Muhammad E. H. Chowdhury
Published 2022-09-01
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Automatic and Reliable Leaf Disease Detection Using Deep Learning Techniques by Muhammad E. H. Chowdhury, Tawsifur Rahman, Amith Khandakar, Mohamed Arselene Ayari, Aftab Ullah Khan, Muhammad Salman Khan, Nasser Al-Emadi, Mamun Bin Ibne Reaz, Mohammad Tariqul Islam, Sawal Hamid Md Ali
Published 2021-05-01
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A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals by Sakib Mahmud, Nabil Ibtehaz, Amith Khandakar, Anas M. Tahir, Tawsifur Rahman, Khandaker Reajul Islam, Md Shafayet Hossain, M. Sohel Rahman, Farayi Musharavati, Mohamed Arselene Ayari, Mohammad Tariqul Islam, Muhammad E. H. Chowdhury
Published 2022-01-01
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Mortality Prediction Utilizing Blood Biomarkers to Predict the Severity of COVID-19 Using Machine Learning Technique by Tawsifur Rahman, Fajer A. Al-Ishaq, Fatima S. Al-Mohannadi, Reem S. Mubarak, Maryam H. Al-Hitmi, Khandaker Reajul Islam, Amith Khandakar, Ali Ait Hssain, Somaya Al-Madeed, Susu M. Zughaier, Muhammad E. H. Chowdhury
Published 2021-08-01
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A Novel Machine Learning Approach for Severity Classification of Diabetic Foot Complications Using Thermogram Images by Amith Khandakar, Muhammad E. H. Chowdhury, Mamun Bin Ibne Reaz, Sawal Hamid Md Ali, Serkan Kiranyaz, Tawsifur Rahman, Moajjem Hossain Chowdhury, Mohamed Arselene Ayari, Rashad Alfkey, Ahmad Ashrif A. Bakar, Rayaz A. Malik, Anwarul Hasan
Published 2022-06-01
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Thermal Change Index-Based Diabetic Foot Thermogram Image Classification Using Machine Learning Techniques by Amith Khandakar, Muhammad E. H. Chowdhury, Mamun Bin Ibne Reaz, Sawal Hamid Md Ali, Tariq O. Abbas, Tanvir Alam, Mohamed Arselene Ayari, Zaid B. Mahbub, Rumana Habib, Tawsifur Rahman, Anas M. Tahir, Ahmad Ashrif A. Bakar, Rayaz A. Malik
Published 2022-02-01
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QUCoughScope: An Intelligent Application to Detect COVID-19 Patients Using Cough and Breath Sounds by Tawsifur Rahman, Nabil Ibtehaz, Amith Khandakar, Md Sakib Abrar Hossain, Yosra Magdi Salih Mekki, Maymouna Ezeddin, Enamul Haque Bhuiyan, Mohamed Arselene Ayari, Anas Tahir, Yazan Qiblawey, Sakib Mahmud, Susu M. Zughaier, Tariq Abbas, Somaya Al-Maadeed, Muhammad E. H. Chowdhury
Published 2022-04-01
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