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Now showing items 19874-19893 of 49881
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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, ... -
Prediction-based delay optimization data collection algorithm for underwater acoustic sensor networks
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)The past years have seen a rapid development of autonomous underwater vehicle-aided (AUV-aided) data-gathering schemes in underwater acoustic sensor networks (UASNs). The use of AUVs efficiently reduces energy consumption ... -
The predictive ability of stock market factors
( Emerald Publishing Limited , 2022 , Article)Purpose: This paper aims to ask whether a range of stock market factors contain information that is useful to investors by generating a trading rule based on one-step-ahead forecasts from rolling and recursive regressions. ... -
Predictive ANN models for varying filler content for cotton fiber/PVC composites based on experimental load displacement curves
( Elsevier Ltd , 2020 , Article)In this paper, artificial neural network (ANN) models are developed to predict the load-displacement curves for better understanding the behavior of cotton fiber/polyvinyl chloride (PVC) composites. Series of experiments ... -
Predictive Auto-scaling of Multi-tier Applications Using Performance Varying Cloud Resources
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)The performance of the same type of cloud resources, such as virtual machines (VMs), varies over time mainly due to hardware heterogeneity, resource contention among co-located VMs, and virtualization overhead. The performance ... -
Predictive Autoscaling of Microservices Hosted in Fog Microdata Center
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Fog computing provides microdata center (MDC) facilities closer to the users and applications, which help to overcome the application latency and response time concerns. However, guaranteeing specific service-level objectives ... -
Predictive Biomarkers of Intensive Care Unit and Mechanical Ventilation Duration in Critically-Ill Coronavirus Disease 2019 Patients.
( Frontiers Media , 2021 , Article)Detection of early metabolic changes in critically-ill coronavirus disease 2019 (COVID-19) patients under invasive mechanical ventilation (IMV) at the intensive care unit (ICU) could predict recovery patterns and help in ... -
A predictive control strategy for electrochromic glazing to balance the visual and thermal environmental requirements: Approach and energy-saving potential assessment
( Elsevier Ltd , 2022 , Article)Electrochromic (EC) glazing provides a promising solution to actively adjusting the sunlight and radiant heat through windows in response to building visual and thermal environmental requirements, and control strategies ... -
Predictive factors associated with adjacent teeth root resorption of palatally impacted canines in Arabian population: a cone-beam computed tomography analysis
( BMC , 2022 , Article)Background: This study aimed to evaluate three-dimensionally the factors associated with adjacent teeth root resorption of palatally impacted canines. Methods: In this retrospective cross-sectional study, one-hundred and ... -
Predictive maintenance using digital twins: A systematic literature review
( Elsevier , 2022 , Article Review)Context: Predictive maintenance is a technique for creating a more sustainable, safe, and profitable industry. One of the key challenges for creating predictive maintenance systems is the lack of failure data, as the machine ... -
Predictive Power of Body Visceral Adiposity Index, Body Adiposity Index and Body Mass Index for Type 2 Diabetes in Qatari Population
( Qatar University Press , 2020 , Poster)Background: The prevalence of type 2 diabetes (T2D) has increased recently in Qatar. Body mass index (BMI) is a predictor of T2D in many populations. However, BMI is based on height and weight measurements and not on body ... -
A predictive strategy for lifetime maximization in selective relay networks
( IEEE , 2009 , Conference Paper)Two algorithms based on an energy conserving dynamic transmit power threshold are proposed for improving the lifetime in relay networks utilizing selective relay strategies with amplify-and-forward (AF) relays. the lifetime ...