Now showing items 5686-5705 of 25628
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Detecting Fetal Movements Using Non-Invasive Accelerometers: A Preliminary Analysis
( IEEE , 2010 , Article)Monitoring fetal movement is important to assess fetal health. Standard clinical fetal monitoring technologies include ultrasound imaging and cardiotocography. Both have limited prognostic value and require significant ... -
Detecting Malware by Analyzing App Permissions on Android Platform: A Systematic Literature Review
( MDPI , 2022 , Article Review)Smartphone adaptation in society has been progressing at a very high speed. Having the ability to run on a vast variety of devices, much of the user base possesses an Android phone. Its popularity and flexibility have ... -
Detecting market manipulation in stock market data
(2017 , Master Thesis)Anomaly Detection is an extensively researched problem that has diverse applications in many domains. Anomaly detection is the process of finding data points or patterns that do not conform to expected behavior within a ... -
Detecting Non-Technical Losses in Smart Grids Using Statistical Distances of Forecasting Residuals
(2024 , Master Thesis)Energy theft poses a significant challenge to the sustainability of smart grids, affecting the financial stability of electrical utilities and the overall management of resources. In this thesis, we present a novel load ... -
Detecting Organic Nitrogen with 1H-15N HMBC Spectra
( Qatar University Press , 2021 , Poster)NMR spectroscopy has been the most important tool for organic chemistry research, providing detailed structure information. While 1H and 13C NMR spectra were frequently measured, 15N NMR spectra were relatively rare, even ... -
Detecting Promotion Attacks in the App Market Using Neural Networks
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)App markets play an important role in distributing various apps to mobile users. The app market vendors provide reputation systems to assist users in finding useful and reputable apps by ranking them. Unfortunately, there ... -
Detecting the greedy spectrum occupancy threat in cognitive radio networks
( IEEE Computer Society , 2014 , Conference Paper)Recently, security of cognitive radio (CR) is becoming a severe issue. There is one kind of threat, which we call greedy spectrum occupancy threat (GSOT) in this paper, has long been ignored in previous work. In GSOT, a ... -
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, ...
