Browsing by Subject "Prediction"
Now showing items 1-18 of 18
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A multiresolution approach to Recommender systems
( Association for Computing Machinery, Inc , 2014 , Conference Paper)Recommender systems face performance challenges when dealing with sparse data. This paper addresses these challenges and proposes the use of Harmonic Analysis. The method provides a novel approach to the user-item matrix ... -
Accurate prediction of dynamic viscosity of polyalpha-olefin boron nitride nanofluids using machine learning
( Elsevier , 2023 , Article)This study focuses on predicting the dynamic viscosity of nanofluids, specifically Polyalpha-Olefin-hexagonal boron nitride (PAO-hBN) using machine learning models. The primary goal of this research is to assess and contrast ... -
Comparing different methods for prediction of liquefied natural gas Densities
( Qatar University , 2005 , Article)The densities of several liquefied natural gas (LNG) mixtures and pure methane using different equations of state and correlations have been predicted and compared with the experimental values. The equations of state were ... -
Data-Driven Intelligent Model for Sale Price Prediction and Monitoring of a Building
( Springer , 2020 , Book chapter)The construction cost forecasting and monitoring plays an important role in a building condition assessment. The construction cost of a building (CCB) not only depends on the method of construction, equipment, labor, and ... -
E-government as a tool for improving entrepreneurship
( IGI Global , 2019 , Article)This article addresses the relationship between e-government development and entrepreneurship. The study adopted an inductive approach, where it utilized archival data to test the relationship between the two paradigms. ... -
Editorial: Machine Learning, Advances in Computing, Renewable Energy and Communication (MARC)
( Springer Science and Business Media Deutschland GmbH , 2022 , Conference Paper)Machine learning (ML) is the subcategory of artificial intelligence (AI), which has the capability to imitate human behavior intelligently as per the task performed by the human. In the modern time, any organization ... -
Forecast of the outbreak of COVID-19 using artificial neural network: Case study Qatar, Spain, and Italy
( Elsevier B.V. , 2021 , Article)The present study illustrates the outbreak prediction and analysis on the growth and expansion of the COVID-19 pandemic using artificial neural network (ANN). The first wave of the pandemic outbreak of the novel Coronavirus ... -
Fuzzy Logic-Based Model to Predict the Impact of Flow Rate and Turbidity on the Performance of Multimedia Filters
( American Society of Civil Engineers (ASCE) , 2017 , Article)This paper uses fuzzy logic-based models to predict and evaluate the performance of multimedia filters utilized in wastewater treatment. A fuzzy logic-based model is constructed and trained to predict the operating time ... -
Inference Based on New Pareto-Type Records With Applications to Precipitation and Covid-19 Data
( International Academic Press , 2023 , Article)We consider estimation and prediction of future records based on observed records from the new Pareto type distribution proposed recently by Bourguignon et al. (2016), ¡°M. Bourguignon, H. Saulo, R. N. Fernandez, A new ... -
Machine learning techniques for the identification of risk factors associated with food insecurity among adults in Arab countries during the COVID-19 pandemic
( Springer Nature , 2023 , Article)Background: A direct consequence of global warming, and strongly correlated with poor physical and mental health, food insecurity is a rising global concern associated with low dietary intake. The Coronavirus pandemic has ... -
Machine learning-based multi-target regression to effectively predict turning movements at signalized intersections
( Elsevier , 2022 , Article)Effective prediction of turning movement counts at intersections through efficient and accurate methods is essential and needed for various applications. Commonly predictive methods require extensive data collection, ... -
Modeling of student academic achievement in engineering education using cognitive and non-cognitive factors
( Emerald Group Publishing Ltd. , 2019 , Article)The retention and success of engineering undergraduates are increasing concern for higher-education institutions. The study of success determinants are initial steps in any remedial initiative targeted to enhance student ... -
Modeling of Surface Roughness in Turning Operation Using Extreme Learning Machine
( Springer Verlag , 2015 , Article)Prediction model allows the machinist to determine the values of the cutting performance before machining. According to the literature, various modeling techniques have been investigated and applied to predict the cutting ... -
Neural-Networks-Based Feedback Linearization versus Model Predictive Control of Continuous Alcoholic Fermentation Process
( WILEY-VCH Verlag GmbH & Co. , 2005 , Article)In this work advanced nonlinear neural networks based control system design algorithms are adopted to control a mechanistic model for an ethanol fermentation process. The process model equations for such systems are highly ... -
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 ... -
Smart System to Monitor Social-Distancing During the Covid-19 Pandemic
( Qatar University Press , 2020 , Poster)We introduce a smart system to track and maintain real-time physical distance between people and to warn people to any deviation from the prescribed distances. Social-distancing is an effective way of slowing infectious ... -
Stacking-based multi-objective ensemble framework for prediction of hypertension
( Elsevier , 2023 , Article)Hypertension is a common health problem that is costly to treat, difficult to control, and frequently results in serious and fatal disorders like cardiovascular disease (CVD) and stroke. The main objective of this work was ... -
Using learning management system activity data to predict student performance in face-to-face courses
( IGI Global Publishing , 2020 , Article)Higher education institutes are increasingly turning their attention to web-based learning management systems. The purpose of this study is to investigate whether data collected from LMS can be used to predict student ...