Browsing by Author "Rahman T."
Now showing items 1-11 of 11
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An intelligent and low-cost eye-tracking system for motorized wheelchair control
Dahmani M.; Chowdhury M.E.H.; Khandakar A.; Rahman T.; Al-Jayyousi K.; Hefny A.; Kiranyaz, Mustafa Serkan... more authors ... less authors ( MDPI AG , 2020 , Article)In the 34 developed and 156 developing countries, there are ~132 million disabled people who need a wheelchair, constituting 1.86% of the world population. Moreover, there are millions of people suffering from diseases ... -
Brain Tumor Segmentation and Classification from Sensor-Based Portable Microwave Brain Imaging System Using Lightweight Deep Learning Models
Hossain, Amran; Islam, Mohammad T.; Rahman, Tawsifur; Chowdhury, Muhammad E. H.; Tahir, Anas; Kiranyaz, Serkan; Mat, Kamarulzaman; Beng, Gan K.; Soliman, Mohamed S.... more authors ... less authors ( MDPI , 2023 , Article)Automated brain tumor segmentation from reconstructed microwave (RMW) brain images and image classification is essential for the investigation and monitoring of the progression of brain disease. The manual detection, ... -
Can AI Help in Screening Viral and COVID-19 Pneumonia?
Chowdhury, M. E. H.; Rahman, T.; Khandakar, A.; Mazhar, R.; Kadir, M.A.; Mahbub, Z. B.; Islam, K. R.; Khan, M. S.; Iqbal, Atif; Emadi, N. A.; Reaz, M. B. I.; Islam, M. T.... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Coronavirus disease (COVID-19) is a pandemic disease, which has already caused thousands of causalities and infected several millions of people worldwide. Any technological tool enabling rapid screening of the COVID-19 ... -
COVID-19 infection localization and severity grading from chest X-ray images
Tahir A.M.; Chowdhury M.E.H.; Khandakar A.; Rahman T.; Qiblawey Y.; Khurshid U.; Kiranyaz, Mustafa Serkan; Ibtehaz N.; Rahman M.S.; Al-Maadeed S.; Mahmud S.; Ezeddin M.; Hameed K.; Hamid T.... more authors ... less authors ( Elsevier Ltd , 2021 , Article)The immense spread of coronavirus disease 2019 (COVID-19) has left healthcare systems incapable to diagnose and test patients at the required rate. Given the effects of COVID-19 on pulmonary tissues, chest radiographic ... -
Deep Learning for Reliable Classification of COVID-19, MERS, and SARS from Chest X-ray Images
Tahir A.M.; Qiblawey Y.; Khandakar A.; Rahman T.; Khurshid U.; Musharavati F.; Islam M.T.; Kiranyaz, Mustafa Serkan; Al-Maadeed S.; Chowdhury M.E.H.... more authors ... less authors ( Springer , 2022 , Article)Novel coronavirus disease (COVID-19) is an extremely contagious and quickly spreading coronavirus infestation. Severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS), which outbreak in 2002 ... -
Detection and severity classification of COVID-19 in CT images using deep learning
Qiblawey Y.; Tahir A.; Chowdhury M.E.H.; Khandakar A.; Kiranyaz, Mustafa Serkan; Rahman T.; Ibtehaz N.; Mahmud S.; Al Maadeed S.; Musharavati F.; Ayari M.A.... more authors ... less authors ( MDPI , 2021 , Article)Detecting COVID-19 at an early stage is essential to reduce the mortality risk of the patients. In this study, a cascaded system is proposed to segment the lung, detect, localize, and quantify COVID-19 infections from ... -
Dynamic Analysis Of A Novel Manpowered Transportation Vehicle With High Mechanical Efficiency
Abdel Rahman, T. M; Al-Salem, Nabeel A. ( Qatar University , 2002 , Article)This paper evaluates the dynamics of a novel manpowered transportation vehicle. The vehicle has a novel mechanism that maximizes the mechanical input work and utilizes the weight of the rider for propulsion. The rider ... -
EDITH : ECG Biometrics Aided by Deep Learning for Reliable Individual Authentication
Ibtehaz N.; Chowdhury M.E.H.; Khandakar A.; Kiranyaz, Mustafa Serkan; Rahman M.S.; Tahir A.; Qiblawey Y.; Rahman T.... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)In recent years, physiological signal-based authentication has shown great promises, for its inherent robustness against forgery. Electrocardiogram (ECG) signal, being the most widely studied biosignal, has also received ... -
Microcomputer Aided Selection Of Robot Manipulators
Abdel Rahman, T. M ( Qatar University , 1991 , Article)This paper presents two programs for microcomputer aided assessment of the performance of robot manipulators. The first program automatically generates robot models based on user-supplied kinematic parameters. The program ... -
Mortality prediction utilizing blood biomarkers to predict the severity of COVID-19 using machine learning technique
Rahman T.; Al-Ishaq F.A.; Al-Mohannadi F.S.; Mubarak R.S.; Al-Hitmi M.H.; Islam K.R.; Khandakar A.; Hssain A.A.; Al-Maadeed, Somaya; Zughaier S.M.; Chowdhury M.E.H.... more authors ... less authors ( MDPI , 2021 , Article)Healthcare researchers have been working on mortality prediction for COVID-19 patients with differing levels of severity. A rapid and reliable clinical evaluation of disease intensity will assist in the allocation and ... -
On The Computational Efficiency Of Four Numerical Techniques For Solving The Practical Inverse Kinematics Problem Of Redundant Manipulators
Abdel Rahman, T. M ( Qatar University , 1990 , Article)In this paper we compare the computational efficiency of four methods for solving the practical inverse kinematics problem of redundant manipulators. Two methods use recursive approaches for sequential determination of ...