Browsing by Title
Now showing items 20098-20117 of 50618
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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 Intervals For Future Sample Mean From Inverse Gaussian Distribution
( Qatar University , 1991 , Article)A random sample Xi, Xz, ..., Xn from Inverse Gaussian distribution I(/x,X) is observed. On the basis of this observed sample a lOOp prediction interval of the mean Y of a future sample Yi, ..., Ym from I(^,^.) has been ... -
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 infarction volume and infarction growth rate in acute ischemic stroke
( Nature Publishing Group , 2017 , Article)The prediction of infarction volume after stroke onset depends on the shape of the growth dynamics of the infarction. To understand growth patterns that predict lesion volume changes, we studied currently available models ... -
Prediction of Optimal Hexagonal Interior Angle for Energy Absorption: Ann to Predict In-Between Experimental Data
(2021 , Master Thesis)This thesis's proposed strategic procedure is to predict the interior angle of a hexagonal passive energy absorber structure based on specific properties using an ANN model, which has a great potential to be used as ... -
Prediction of performance and emission characteristics of diesel engine fuelled with waste biomass pyrolysis oil using response surface methodology
( Elsevier Ltd , 2019 , Article)Advanced third generation biofuels like pyrolysis oil generated from waste biomass paves way for a cleaner and sustainable environment. An experimental-cum-statistical analysis was performed with the aim of determining the ... -
Prediction Of Refrigerant Thermodynamic Properties By Equations Of State
( Qatar University , 1992 , Article)The ability of three equations of state (EOS) for calculating the thermodynamic properties of refrigerants has been studied for 35 pure component refrigerants. Three equations of state studied were the Soave-Redlich-Kwong ... -
Prediction Of Reinforced Concrete Beam Depth Using Neural Networks
( Qatar University , 1998 , Article)This paper discusses the development and the implementation of a neural network for the depth prediction of singly-reinforced rectangular concrete beams. The procedure of the American Concrete Institute (ACI-318 1995) ... -
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 the mechanical properties of copper powder-filled low-density polyethylene composites. A comparison between the ANN and theoretical models
( Begell House , 2015 , Article)In the present study, the mechanical properties of copper (Cu) powder-filled low-density polyethylene (LDPE) composites are predicted by using artificial neural networks (ANNs) as a function of the filler concentration. ... -
Prediction of Traffic Conflicts at Signalized Intersections using SSAM
( Elsevier , 2018 , Article)The use of microsimulation to model the vehicles movement and pedestrian movements within a traffic network is widely undertaken to test and evaluate operational performance of a traffic network under different traffic ... -
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, ...