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Detecting Users Prone to Spread Fake News on Arabic Twitter
( European Language Resources Association , 2022 , Conference Paper)The spread of misinformation has become a major concern to our society, and social media is one of its main culprits. Evidently, health misinformation related to vaccinations has slowed down global efforts to fight the ... -
Detection and assessment of marine litter in an uninhabited island, Arabian Gulf: A case study with conventional and machine learning approaches
( Elsevier , 2022 , Article)In 2018, the Ministry of Municipality and Environment, Qatar removed 90 t of marine litter (ML) from the Ras Rakan Island (RRI), a remote uninhabited island in the Arabian Gulf (hereinafter referred to as Gulf). To identify ... -
DETECTION AND COLLECTION OF WASTE USING A PARTIALLY SUBMERGED AQUATIC ROBOT
(06-2 , Master Thesis)With the amount of waste being dispersed into oceans on the rise, mitigating this issue has become a global concern. In the past few decades, governments, scientists, organizations, and individuals have been attempting to ... -
Detection and Genotyping of Torque Teno Virus (TTV) in Healthy Blood Donors and Patients Infected With HBV or HCV in Qatar
( Wiley Periodicals, Inc , 2015 , Article)Torque Teno virus (TTV) has been associated with non A–G hepatitis. The goal of this study was to estimate the infection rates and genotypic characteristics of TTV in the State of Qatar. A total of 644 blood samples ... -
Detection and Phylogenetic Analysis of Human Pegivirus (GBV-C) Among Blood Donors and Patients Infected With Hepatitis B Virus (HBV) in Qatar
( Wiley , 2015 , Article)Human Pegivirus (HPgV), formerly GB virus-C/ Hepatitis G virus (GBV-C/HGV), collectively known as GBV-C, is widely spread and has been reported to be associated with non-A–E hepatitis. To our knowledge, no previous ... -
Detection and severity classification of COVID-19 in CT images using deep learning
( 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 ... -
Detection of acetone in breath solution using nanocomposite CeO2-NiO-ZnO
( Qatar University Press , 2020 , Poster)Acetone level of diabetic patients from their breath can be detected. The effect of CeO2 -NiO-ZnO nanocomposite was studied by adding different concentration of acetone. Structural (XRD, Raman) and morphological (SEM with ... -
Detection of antinuclear antibodies targeting intracellular signal transduction, metabolism, apoptotic processes and cell death in critical COVID-19 patients
( Qatar University Press , 2021 , Poster)Background: The heterogeneity of COVID-19 lies within its diverse symptoms and severity, ranging from mild to lethal. Acute respiratory distress syndrome (ARDS) has been shown to be the leading cause of mortality in COVID-19 ... -
Detection of Antinuclear Antibodies Targeting Intracellular Signal Transduction, Metabolism, Apoptotic Processes and Cell Death in Critical COVID-19 Patients
( Universita Cattolica del Sacro Cuore , 2022 , Article)Background and Objectives: The heterogeneity of the coronavirus disease of 2019 (COVID-19) lies within its diverse symptoms and severity, ranging from mild to lethal. Acute respiratory distress syndrome (ARDS) is a leading ... -
Detection of Appliance-Level Abnormal Energy Consumption in Buildings Using Autoencoders and Micro-moments
( Springer Science and Business Media Deutschland GmbH , 2022 , Conference Paper)The detection of anomalous energy usage could help significantly in signaling energy wastage and identifying faulty appliances, especially if the individual power traces are analyzed. To that end, this paper proposes a ... -
Detection of atrial fibrillation in ECG hand-held devices using a random forest classifier
( IEEE Computer Society , 2017 , Conference Paper)Atrial Fibrillation (AF) is characterized by chaotic electrical impulses in the atria, which leads to irregular heartbeats and can develop blood clots and stroke. Therefore, early detection of AF is crucial for increasing ... -
Detection of Botnet Attacks against Industrial IoT Systems by Multilayer Deep Learning Approaches
( Hindawi Limited , 2022 , Article)Industry 4.0 is the next revolution in manufacturing technology that is going to change the production and distribution of goods and services within the following decade. Powered by different enabling technologies that are ... -
Detection of challenging behaviours of children with autism using wearable sensors during interactions with social robots
( IEEE Explore , 2021 , Conference Paper)Autism spectrum disorder is a neurodevelopmental disorder that is characterized by patterns of behaviours and difficulties with social communication and interaction. Children on the spectrum exhibit atypical, restricted, ... -
Detection of DNA Bases via Field Effect Transistor of Graphene Nanoribbon with a Nanopore: Semi-empirical Modeling
( Institute of Electrical and Electronics Engineers , 2021 , Article)DNA sequencing techniques are critical in order to investigate genes’ functions. Obtaining fast, accurate, and affordable DNA bases detection makes it possible to acquire personalized medicine. In this article, a ... -
Detection of Methicillin-Resistant Staphylococcus aureus (MRSA) Using Loop Mediated Isothermal Amplification (LAMP)
(2020 , Master Thesis)Staphylococcus aureus is one of the most common pathogens that cause a wide range of infections ranging from skin and soft tissue infections to invasive, life threatening infections. The emergence of methicillin-resistant ... -
Detection of multimycotoxins in camel feed and milk samples and their comparison with the levels in cow milk
( Wiley Open Access , 2022 , Article)Camel milk has been considered as an important source of nutrients and is commercialized in many countries of the world including the Middle East. This study aimed to investigate the presence of mycotoxins in camel feed ... -
Detection of neonatal EEG burst-suppression using a time-frequency approach
( IEEE , 2014 , Conference Paper)In newborn EEG, the presence of burst suppression carries with it a high probability of poor neurodevelopmental outcome. This paper presents a novel method to detect neonatal bust suppression from multichannel EEG using a ... -
Detection of neonatal seizure using multiple filters
( IEEE , 2010 , Conference Paper)It is often impossible to accurately differentiate between seizure and non-seizure related activities in irifants based on clinical manifestations alone. The electroencephalogram (EEG) is therefore the best tool available ... -
Detection of Paracetamol as substrate of the gut microbiome
( University of Karachi, Pharmacy College , 2019 , Article)Gut microbiome, a new organ; represent targets to alter pharmacokinetics of orally administered drugs. Recently, in vitro trials endorsed the idea that orally administered drugs interact and some of their quantity may be ... -
Detection of Periapical Lesions on Panoramic Radiographs Using Deep Learning
( MDPI , 2023 , Article)Dentists could fail to notice periapical lesions (PLs) while examining panoramic radiographs. Accordingly, this study aimed to develop an artificial intelligence (AI) designed to address this problem. Materials and methods: ...