تصفح College of Engineering حسب العنوان
السجلات المعروضة 5898 -- 5917 من 7854
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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 ... -
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 ... -
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, ... -
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 ... -
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 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 ... -
Preface
( Elsevier , 2003 , Article)In recent years the involvement of Information Technology in business, governments, and education has increased dramatically. More and more research works have been conducted in different areas of Information Technology such ... -
Preface: When Robots Engage Humans
( Springer Netherlands , 2014 , Article) -
Preference-based semantic matching of web service security policies
( IEEE , 2013 , Conference Paper)This electronic document is a live template. The various components of your paper [title, text, heads, etc.] are already defined on the style sheet, as illustrated by the portions given in this document. 2013 IEEE.
