Browsing by Author "Chowdhury M.E.H."
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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 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 ... -
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 ... -
Exploring the origins of EEG motion artefacts during simultaneous fMRI acquisition: Implications for motion artefact correction
Spencer G.S.; Smith J.A.; Chowdhury M.E.H.; Bowtell R.; Mullinger K.J. ( Academic Press Inc. , 2018 , Article)Motion artefacts (MAs) are induced within EEG data collected simultaneously with fMRI when the subject's head rotates relative to the magnetic field. The effects of these artefacts have generally been ameliorated by removing ... -
Feasibility of tracking involuntary head movement for MRI using a coil as a magnetic dipole in a time-varying gradient
Bhuiyan, E.H.; Chowdhury, M.E.H.; Glover, P.M. ( Elsevier , 2023 , Article)Accurate tracking involuntary head movements is fairly a challenging problem in MR imaging of the brain. Though there are few techniques available to monitor the head movement of the subject for a prospective motion ... -
Modified-Segmented Split-Ring Based Polarization and Angle-Insensitive Multi-Band Metamaterial Absorber for X, Ku and K Band Applications
Hannan S.; Islam M.T.; Sahar N.M.; Mat K.; Chowdhury M.E.H.; Rmili H.... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)A novel modified-segmented split-ring based symmetric metamaterial absorber is introduced in this paper for X, Ku, and K band applications. The perfect absorption was achieved with a total of 1.91 GHz absorption bandwidth ... -
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 ... -
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 ... -
Remote analysis of soil macronutrients using optical sensor for precision agriculture
Chowdhury, M. E. H.; Hossain, M. B.; Adhikary, T.; Toufikur Rahman, M. M.; Razzaque, M. A. ( Chaoyang University of Technology , 2016 , Article)Continuous cropping without adequate measurement and provisioning of soil nutrient may endanger the sustainability of agriculture. Soil nutrient measurement is greatly required for proper plant growth and effective ... -
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 ...