Browsing Faculty Contributions by Title
Now showing items 12469-12488 of 17618
-
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 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 ... -
Prediction of critical total drawdown in sand production from gas wells: Machine learning approach
( John Wiley and Sons Inc , 2023 , Article)Sand production is a critical issue in petroleum wells. The critical total drawdown (CTD) is an essential indicator of the onset of sand production. Although some models are available for CTD prediction, most of them are ... -
Prediction of date and ideology of old Islamic documents
( American Scientific Publishers , 2017 , Article)Prediction of date and Ideology (aka Islamic school or Madhab) is a very important research field. It allows scholars and researchers to find out more about what is specific to a particular period of time and what the main ... -
The prediction of future cash flows based on operating cash flows, earnings and accruals in the French context
( Elsevier , 2020 , Article)This study investigates the aptitudes of the cash-based and accrual-based accounting data for predicting future cash flows from operations in the French context. In addition, our paper aims to investigate the effect of the ... -
Prediction of future failures in the log-logistic distribution based on hybrid censored data
( Springer , 2022 , Article)We consider the prediction of future observations from the log-logistic distribution. The data is assumed hybrid right censored with possible left censoring. Different point predictors were derived. Specifically, we obtained ... -
Prediction of seismic damage spectra using computational intelligence methods
( Elsevier , 2021 , Article)Predicting seismic damage spectra, capturing both structural and earthquake features, is useful in performance-based seismic design and quantifying the potential seismic damage of structures. The objective of this paper ... -
Prediction of solid-liquid-vapor phase equilibria of noble gases in nitrogen
( Elsevier , 2022 , Article)The primary objective of this study is to develop an empirical correlation model that is able to predict the solid-liquid-vapour phase equilibria (SLVE) for the ternary system of N2-Kr-Xe at pressures ranging from 1 to 45 ... -
Prediction of Transformer Furan Levels
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)In this letter, the ranges of furan content in oil in power transformers are predicted using measurements of oil tests, such as breakdown voltage, acidity, water content, and dissolved gas analysis. Predictive models based ... -
Prediction the performance of multistage moving bed biological process using artificial neural network (ANN)
( Elsevier B.V. , 2020 , Article)Complexity, uncertainty, and high dynamic nature of nutrient removal through biological processes (BPs) makes it difficult to model and control these processes, forcing designers to rely on approximations, probabilities, ...