تصفح حسب المؤلف "Khandakar, A."
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A case study to identify the hindrances to widespread adoption of electric vehicles in qatar
Khandakar, A.; Rizqullah, A.; Berbar, A. A. A.; Ahmed, M. R.; Iqbal, Atif; Chowdhury M. E. H.; Zaman, S. M. A. U.... more authors ... less authors ( MDPI AG , 2020 , Article)The adoption of electric vehicles (EVs) have proven to be a crucial factor to decreasing the emission of greenhouse gases (GHG) into the atmosphere. However, there are various hurdles that impede people from purchasing ... -
An experimental performance evaluation of the hybrid FSO/RF
Touati A.; Touati F.; Abdaoui A.; Khandakar A.; Hussain S.J.; Bouallegue A.... more authors ... less authors ( SPIE , 2017 , Conference Paper)This paper is a first attempt to study the effects of atmospheric turbulences on hybrid free space optics/ radio frequency (FSO/RF) transmission system in Doha, Qatar. The state of Qatar is characterized by a Mediterranean ... -
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 ... -
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 ... -
Design and Implementation of a RF Based Anti-Drone System
Abunada A.H.; Osman A.Y.; Khandakar A.; Chowdhury M.E.H.; Khattab T.; Touati F.... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Drones or unmanned aerial vehicles are having an increased popularity in all fields of applications such as transportation, traffic monitoring, military surveillance etc. However, this technology can be used for destruction ... -
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 ... -
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 ... -
Effects of the phantom shape on the gradient artefact of electroencephalography (EEG) data in simultaneous EEG-fMRI
Chowdhury M.E.H.; Khandakar A.; Hossain B.; Alzoubi K. ( MDPI AG , 2018 , Article)Electroencephalography (EEG) signals greatly suffer from gradient artefacts (GAs) due to the time-varying field gradients in the magnetic resonance (MR) scanner during the simultaneous acquisition of EEG and functional ... -
Experimental setup to validate the effects of major environmental parameters on the performance of FSO communication link in Qatar
Khandakar A.; Touati A.; Touati F.; Abdaoui A.; Bouallegue A. ( MDPI AG , 2018 , Article)Weather conditions and chemical composition of the atmosphere are the most uncontrollable challenges for free-space optical (FSO) communications. Environmental parameters contribute directly in the characterization of ... -
Indoor test of the fog's effect on FSO link
Touati A.; Abdaoui A.; Touati F.; Khandakar A.; Bouallegue A. ( SPIE , 2017 , Conference Paper)In order to distinguish the most rigorous model, we made a comparison between measurements data and the mostly used empirical models. These models use the visibility as a basic parameter to predict the fog attenuation. In ... -
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 ... -
Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms
Rahman A.; Chowdhury M.E.H.; Khandakar A.; Kiranyaz, Mustafa Serkan; Zaman K.S.; Reaz M.B.I.; Islam M.T.; Ezeddin M.; Kadir M.A.... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Electroencephalography (EEG) based biometric systems are gaining attention for their anti-spoofing capability but lack accuracy due to signal variability at different psychological and physiological conditions. On the other ... -
Novel design for thermal management of PV cells in harsh environmental conditions
Ahmad N.; Khandakar A.; El-Tayeb A.; Benhmed K.; Iqbal A.; Touati F.... more authors ... less authors ( MDPI AG , 2018 , Article)The abundance of solar energy is a blessing in the Arabian Peninsula, where more than 2000 kWh/m2 density has been recorded annually. This has resulted in sincere consideration of PV harvesting in the energy matrix and ... -
Numerical and Experimental Investigation of Infrared Optical Filter Based on Metal Oxide Thin Films for Temperature Mitigation in Photovoltaics
Hossain, M. I.; Khandakar, A.; Chowdhury, M. E. H.; Ahmed, S.; Nauman, M. M.; Aïssa, B.... more authors ... less authors ( Springer , 2022 , Article)Various metal oxide thin films, including TiO2, SnO2, MoO3, and NiO, grown by the electron-beam evaporation process, have been optimized for implementation as multilayered structures for infrared (IR) filter-based photonic ... -
Portable system for monitoring and controlling driver behavior and the use of a mobile phone while driving
Khandakar A.; Chowdhury M.E.H.; Ahmed R.; Dhib A.; Mohammed M.; Al-Emadi N.A.M.A.; Michelson D.... more authors ... less authors ( MDPI AG , 2019 , Article)There is an utmost requirement for technology to control a driver's phone while driving, which will prevent the driver from being distracted and thus saving the driver's and passenger;s lives. Information from recent studies ... -
Prospects and challenges of free space optical communications
Touati A.; Touati F.; Abdaoui A.; Khandakar A.; Bouallegue A. ( Springer Verlag , 2018 , Conference Paper)Free space optical (FSO) transmission is a technology which uses a narrow laser beam to transmit the signal from the source to the destination through the free space. Although it has various advantages, a laser beam ... -
Robust biometric system using session invariant multimodal EEG and keystroke dynamics by the ensemble of self-ONNs
Rahman A.; Chowdhury M.E.H.; Khandakar A.; Tahir A.M.; Ibtehaz N.; Hossain M.S.; Kiranyaz, Mustafa Serkan; Malik J.; Monawwar H.; Kadir M.A.... more authors ... less authors ( Elsevier Ltd , 2022 , Article)Harnessing the inherent anti-spoofing quality from electroencephalogram (EEG) signals has become a potential field of research in recent years. Although several studies have been conducted, still there are some vital ... -
Robust R-Peak Detection in Low-Quality Holter ECGs Using 1D Convolutional Neural Network
Zahid M.U.; Kiranyaz, Mustafa Serkan; Ince T.; Devecioglu O.C.; Chowdhury M.E.H.; Khandakar A.; Tahir A.; Gabbouj M.... more authors ... less authors ( IEEE Computer Society , 2022 , Article)Objective: Noise and low quality of ECG signals acquired from Holter or wearable devices deteriorate the accuracy and robustness of R-peak detection algorithms. This paper presents a generic and robust system for R-peak ...