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السجلات المعروضة 17240 -- 17259 من 27142
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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 eigenperiods of MDOF shear buildings using neural networks
( National Technical University of Athens , 2021 , Conference Paper)The study of multi-degree of freedom (MDOF) systems is essential to evaluate and understand the seismic response of buildings. Through a MDOF idealization, the dynamic properties of the building such as its natural frequencies ... -
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 ... -
PREDICTIONS OF COVID-19 PANDEMIC DYNAMICS IN UKRAINE AND QATAR BASED ON GENERALIZED SIR MODEL
( National Technical University of Ukraine Igor Sikorsky Kyiv Polytechnic Institute , 2021 , Article)Background. To simulate how the number of COVID-19 cases increases versus time, various data sets and different mathematical models can be used. Since there are some differences in statistical data, the results of simulations ... -
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 ...