Browsing Faculty Contributions by Title
Now showing items 13120-13139 of 18592
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Predicting carbonate formation permeability using machine learning
( Elsevier B.V. , 2020 , Article)It is imperative to characterize the formation permeability to simulate the flow behavior at subsurface conditions. An accurate characterization at the core scale is possible when large samples are available, but often ... -
Predicting Corporate Failure of Jordanian Companies Using Discriminant Analysis
(2015 , Article)This research studies the corporate failure of Jordanian companies using Discriminant Analysis. The study contains detailed analysis and comparisons of two groups of failure and continues companies. The study examines ... -
Predicting COVID-19 cases using bidirectional LSTM on multivariate time series
( Springer Science and Business Media Deutschland GmbH , 2021 , Article)To assist policymakers in making adequate decisions to stop the spread of the COVID-19 pandemic, accurate forecasting of the disease propagation is of paramount importance. This paper presents a deep learning approach to ... -
Predicting emergency department utilization among children with asthma using deep learning models
( Elsevier , 2022 , Article)Pediatric asthma is a leading cause of emergency department (ED) utilization, which is expensive and often preventable. Therefore, development of ED utilization predictive models that can accurately predict patients at ... -
Predicting end-user satisfaction with clinical information systems
( IG , 2021 , Article)Clinical services in hospitals are too diversified and include different kinds of care patient needs. Clinical services need to be supported by clinical information systems (CIS). In this paper, the satisfaction of three ... -
Predicting factors of public awareness and perception about the quality, safety of drinking water, and pollution incidents
( Springer , 2021 , Article)Public perception of drinking water quality and safety results from the interaction of multiple factors, including the public engagement, which requires sufficient knowledge and awareness. This issue has yet to be addressed ... -
Predicting hypertension using machine learning: Findings from Qatar Biobank Study
( PLoS ONE , 2020 , Article)Hypertension, a global burden, is associated with several risk factors and can be treated by lifestyle modifications and medications. Prediction and early diagnosis is important to prevent related health complications. The ... -
Predicting infarction growth rate II using ANFIS-based binary particle swarm optimization technique in ischemic stroke
( Elsevier , 2023 , Article)Ischemic stroke, a severe medical condition triggered by a blockage of blood flow to the brain, leads to cell death and serious health complications. One key challenge in this field is accurately predicting infarction ... -
Predicting mall equity: a moderator mediated model of mall image and services quality from a value theory perspective
( Association-Institute for English Language and American Studies (AIELAS) , 2021 , Article)This paper empirically tests a moderated mediated model of the effect of hedonic shopping value on the relationship between mall image dimensions and mall equity. The data was collected through a questionnaire from a ... -
PREDICTING NEXT TRADING DAY CLOSING PRICE OF QATAR EXCHANGE INDEX USING TECHNICAL INDICATORS AND ARTIFICIAL NEURAL NETWORKS
( John Wiley & Sons, Ltd. , 2014 , Article)Accurate prediction of stock market price is of great importance to many stakeholders. Artificial neural networks (ANNs) have shown robust capability in predicting stock price return, future stock price and the direction ... -
Predicting Plasma Vitamin C Using Machine Learning
( Taylor and Francis Ltd. , 2022 , Article)Precision Nutrition makes use of personal information about individuals to produce nutritional recommendations that have more utility than general population level recommendations. In many cases, being able to predict ... -
Predicting ratings of social media feeds: combining latent-factors and emotional aspects for improving performance of different classifiers
( Emerald Publishing , 2022 , Article)Purpose: The widespread acceptance of various social platforms has increased the number of users posting about various services based on their experiences about the services. Finding out the intended ratings of social media ... -
PREDICTING ROAD ROUGHNESS PROFILE USING DYNAMIC VEHICLE ACCELERATIONS AND ARTIFICIAL NEURAL NETWORKS
( Society of Acoustics , 2022 , Conference Paper)Road roughness can cause ride discomfort and contribute to the emission of ground-borne noise and vibration. A robust monitoring regime of road roughness is essential for the efficient maintenance of a country's road ... -
Predicting student-perceived learning outcomes and satisfaction in ERP courses: An empirical investigation
( Association for Information Systems , 2011 , Article)This article uses the Unified Theory of Acceptance and Use of Technology model (UTAUT) as the basis for the research framework to examine factors that influence student-perceived learning outcomes and satisfaction in ... -
Predicting the performance of multi-media filters using artificial neural networks
( IWA Publishing , 2016 , Article)The impact of flow rate and turbidity on the performance of multi-media filtration has been studied using an artificial neural network (ANN) based model. The ANN model was developed and tested based on experimental data ... -
Predicting transformers oil parameters
( IEEE , 2009 , Conference Paper)In this paper different configurations of artificial neural networks are applied to predict various transformers oil parameters. The prediction is performed through modeling the relationship between the transformer insulation ... -
Predicting trust in e-government: Two competing models
( Inderscience Enterprises Ltd. , 2019 , Article)The efficiency of public sector in addressing e-government requirements depends on the number of constructs they focus on. The adoption process depends on many factors that governments cannot handle in an efficient fashion. ... -
Prediction and sensitivity analysis of CNTs-modified asphalt's adhesion force using a radial basis neural network model
( Taylor and Francis Ltd. , 2019 , Article)The expected longer service life of modified asphalt can be jeopardized by different environmental factors, such as moisture, oxidation, etc. which affect the desired properties by altering the adhesive property. An insight ... -
Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network
( Elsevier Ltd , 2020 , Article)The present study evaluates the effect of co-digestion of agricultural solid wastes (ASWs), cow manure (CM), and the application of chemical pre-treatment with NaHCO3 on the performance of anaerobic digestion (AD) process. ... -
Prediction of Breaks in Municipal Drinking Water Linear Assets
( American Society of Civil Engineers (ASCE) , 2021 , Article)Improper asset management practices increase the probability of water main failures due to inactive intervention actions. The annual number of breaks of each pipe segment is known as one of the most important criteria for ...