تصفح Faculty Contributions حسب العنوان
السجلات المعروضة 13140 -- 13159 من 18592
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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 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 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 ... -
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 Machine Learning Algorithms for Metro Ridership Based on Urban Land Use Policies in Support of Transit-Oriented Development
( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)The endeavors toward sustainable transportation systems are a key concern for planners and decision-makers where increasing public transport attractiveness is essential. In this paper, a machine-learning-based predictive ... -
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 ... -
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 ...