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Now showing items 744-763 of 53172
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A critical review on the practical use of lithium cycle as an upfront nitrogen removal technology from natural gas
( John Wiley and Sons Ltd , 2022 , Other)The increase in energy demand as the world population grows, as well as the competition in the liquefied natural gas (LNG) market, force producers to work hard on developing cost-effective production technologies. Upfront ... -
A Cross-Coupling Approach to Amide Bond Formation from Esters
( American Chemical Society , 2017 , Article)A palladium-catalyzed cross-coupling between aryl esters and anilines is reported, enabling access to diverse amides. The reaction takes place via activation of the C-O bond by oxidative addition with a Pd-NHC complex, ... -
A Cross-Sectional Study of Vaccination-Related Education in Pharmacy Programs in the Middle East
( Elsevier , 2024 , Article)Objective: Pharmacists play pivotal roles in improving vaccination rates. However, absence of vaccination-related undergraduate education impedes their ability for these roles. The study aims were to scope vaccination-related ... -
A cross-sectional study on the impact of the COVID-19 pandemic on psychological outcomes: Multiple indicators and multiple causes modeling
( Public Library of Science , 2022 , Article)Although the psychological impact of coronavirus disease 2019 (COVID-19) has been evaluated in the literature, further research is needed, particularly on post-traumatic stress disorder (PTSD) and psychological outcomes, ... -
A cross-terms geometry based method for components instantaneous frequency estimation using the Cross Wigner-Ville distribution
(2012 , Conference Paper)A novel method for the signal components instantaneous frequency (IF) estimation based on the CrossWigner-Ville distribution (XWVD) is presented. The cross-terms in the XWVD are deliberately formed between the analyzed ... -
A customized PV performance monitoring system in Qatar's harsh environment
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)A customized PV panel monitoring system is proposed. It is based on available hardware, as well as easily configurable Arduino?? software which does not require high specific programming skills. The configuration of hardware ... -
A Cyber-Security Methodology for a Cyber-Physical Industrial Control System Testbed
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Due to recent increase in deployment of Cyber-Physical Industrial Control Systems in different critical infrastructures, addressing cyber-security challenges of these systems is vital for assuring their reliability and ... -
A Data-Driven Approach to Assessing Digital Transformation Maturity Factors in Government Institutes
( IEEE , 2023 , Conference Paper)Governments around the world are increasingly using digital transformation to improve their services and operations. Digital maturity assessment models however are mainly designed for business organizations, and there are ... -
A DC autotransformer design for medium and high voltage DC transmission systems
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)This paper studies a dc-dc converter topology dual to the ac autotransformer for medium and high voltage dc-dc conversion. Operation with trapezoidal modulation is analyzed where the dc autotransformer is built of ... -
A decade of ceria based solar thermochemical H2O/CO2 splitting cycle
( Elsevier Ltd , 2019 , Article)Since 2006, ceria is used as a redox reactive material for production of H2, CO, and syngas via a two-step solar driven thermochemical H2O/CO2 splitting cycle. Different forms of phase pure ceria were studied over a wide ... -
A Decade of Internet of Things: Analysis in the Light of Healthcare Applications
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)Impressive growth in the number of wearable health monitoring devices has affected global health industry as they provide rapid and intricate details related to physical examinations, such as discomfort, heart rate, and ... -
A Decision Analytical Model Investigating Cost-Effectiveness of Erlotinib
( Qatar University Press , 2020 , Poster)Background: A decision analytical model investigating cost-effectiveness of Erlotinib was submitted to the UK NICE (National Institute for Health and Care Excellence), which was not based on actual health-state transition ... -
A decision support system based on ranking methods
( IEEE , 2003 , Conference Paper)The complexity of decision making in industrial and economic fields is a phenomenon that has become difficult to surmount. This makes the decision maker feel powerless in front of unpredictable, non understandable and ... -
A decision support system for automating document retrieval and citation screening
( Elsevier , 2021 , Article)The systematic literature review (SLR) process includes several steps to collect secondary data and analyze it to answer research questions. In this context, the document retrieval and primary study selection steps are ... -
A deep dive into COVID-19-related messages on WhatsApp in Pakistan
( Springer , 2022 , Article)The spread of COVID-19 and the lockdowns that followed led to an increase in activity on online social networks. This has resulted in users sharing unfiltered and unreliable information on social networks like WhatsApp, ... -
A Deep Learning Based Automatic Severity Detector for Diabetic Retinopathy
( Springer Verlag , 2018 , Conference Paper)Automated Diabetic Retinopathy (DR) screening methods with high accuracy have the strong potential to assist doctors in evaluating more patients and quickly routing those who need help to a specialist. In this work, we ... -
A Deep Learning Framework for the Detection of Abnormality in Cerebral Blood Flow Velocity Using Transcranial Doppler Ultrasound
( MDPI , 2023 , Article)Transcranial doppler (TCD) ultrasound is a non-invasive imaging technique that can be used for continuous monitoring of blood flow in the brain through the major cerebral arteries by calculating the cerebral blood flow ... -
A Deep Learning Model for LoRa Signals Classification Using Cyclostationay Features
( IEEE Computer Society , 2021 , Conference Paper)With the witnessed exponential growth of Internet of Things (IoT) nodes deployment following the emerging applications, multiple variants of technologies have been proposed to handle the IoT requirements. Among the proposed ... -
A Deep Learning Spatiotemporal Prediction Framework for Mobile Crowdsourced Services
( Springer New York LLC , 2019 , Article)This papers presents a deep learning-based framework to predict crowdsourced service availability spatially and temporally. A novel two-stage prediction model is introduced based on historical spatio-temporal traces of ... -
A deep learning system for recognizing facial expression in real-time
( Association for Computing Machinery , 2019 , Article)This article presents an image-based real-time facial expression recognition system that is able to recognize the facial expressions of several subjects on a webcam at the same time. Our proposed methodology combines a ...
