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Now showing items 20390-20409 of 51534
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Precoding-Aided Spatial Modulation for the Wiretap Channel with Relay Selection and Cooperative Jamming
( Hindawi Limited , 2018 , Article)We propose in this paper a physical-layer security (PLS) scheme for dual-hop cooperative networks in an effort to enhance the communications secrecy. The underlying model comprises a transmitting node (Alice), a legitimate ... -
Predict The Properties Of Aqueous Mixed Electrolyte Solutions From Properties Of The Individual Electrolyte Solution
( Qatar University , 2003 , Article)For calculating the thermodynamic properties of mixed electrolyte solutions, a thermodynamic framework is developed. The vapor pressure, density and osmotic coefficient of several mixed electrolyte solutions are predicted ... -
Predicted and Back-calculated Coefficients of Permeability of Randomly Fractured Rock Mass: A Case Study
( Qatar Univesrity Press , 2020 , Conference Paper)This paper presents the discrepancy between the coefficients of permeability measured for randomly fractured limestone using field falling-head tests and that back-calculated for the same rock mass based on the actual ... -
Predicting academic success in health professions training and education: Insights from a data mining analysis
( Nova Science Publishers, Inc. , 2016 , Book chapter)Dropping-out is a very common phenomenon among students enrolled in Health Professions degree courses. For this reason, it would be extremely useful to have a model with the main variables that can predict, with a certain ... -
Predicting carbonate formation permeability using machine learning
( Elsevier B.V. , 2020 , Article)It is imperative to characterize the formation permeability to simulate the flow behavior at subsurface conditions. An accurate characterization at the core scale is possible when large samples are available, but often ... -
Predicting Contemporary Volume with Historic Volume at Differential Price Level: Prospect Theory vs. Regret Aversion
( Qatar University , 1995 , Article)This paper studies the behaviour of investors in the Amman Stock Exchange (ASE) through emphasising two behavioural theories: prospect theory and regret aversion theory. Prospect theory predicts disposition to sell winner ... -
Predicting Corporate Failure of Jordanian Companies Using Discriminant Analysis
(2015 , Article)This research studies the corporate failure of Jordanian companies using Discriminant Analysis. The study contains detailed analysis and comparisons of two groups of failure and continues companies. The study examines ... -
Predicting COVID-19 cases using bidirectional LSTM on multivariate time series
( Springer Science and Business Media Deutschland GmbH , 2021 , Article)To assist policymakers in making adequate decisions to stop the spread of the COVID-19 pandemic, accurate forecasting of the disease propagation is of paramount importance. This paper presents a deep learning approach to ... -
Predicting emergency department utilization among children with asthma using deep learning models
( Elsevier , 2022 , Article)Pediatric asthma is a leading cause of emergency department (ED) utilization, which is expensive and often preventable. Therefore, development of ED utilization predictive models that can accurately predict patients at ... -
Predicting end-user satisfaction with clinical information systems
( IG , 2021 , Article)Clinical services in hospitals are too diversified and include different kinds of care patient needs. Clinical services need to be supported by clinical information systems (CIS). In this paper, the satisfaction of three ... -
Predicting factors of public awareness and perception about the quality, safety of drinking water, and pollution incidents
( Springer , 2021 , Article)Public perception of drinking water quality and safety results from the interaction of multiple factors, including the public engagement, which requires sufficient knowledge and awareness. This issue has yet to be addressed ... -
Predicting hypertension using machine learning: Findings from Qatar Biobank Study
( PLoS ONE , 2020 , Article)Hypertension, a global burden, is associated with several risk factors and can be treated by lifestyle modifications and medications. Prediction and early diagnosis is important to prevent related health complications. The ... -
Predicting infarction growth rate II using ANFIS-based binary particle swarm optimization technique in ischemic stroke
( Elsevier , 2023 , Article)Ischemic stroke, a severe medical condition triggered by a blockage of blood flow to the brain, leads to cell death and serious health complications. One key challenge in this field is accurately predicting infarction ... -
Predicting litter decomposition rate for temperate forest tree species by the relative contribution of green leaf and litter traits in the Indian Himalayas region
( Elsevier , 2020 , Article)We examined eight green leaf traits (leaf area, specific leaf area, leaf dry matter, leaf water content, leaf carbon, nitrogen, phosphorous, and chlorophyll) and eight litter traits (cellulose, lignin, litter carbon, ... -
Predicting mall equity: a moderator mediated model of mall image and services quality from a value theory perspective
( Association-Institute for English Language and American Studies (AIELAS) , 2021 , Article)This paper empirically tests a moderated mediated model of the effect of hedonic shopping value on the relationship between mall image dimensions and mall equity. The data was collected through a questionnaire from a ... -
PREDICTING NEXT TRADING DAY CLOSING PRICE OF QATAR EXCHANGE INDEX USING TECHNICAL INDICATORS AND ARTIFICIAL NEURAL NETWORKS
( John Wiley & Sons, Ltd. , 2014 , Article)Accurate prediction of stock market price is of great importance to many stakeholders. Artificial neural networks (ANNs) have shown robust capability in predicting stock price return, future stock price and the direction ... -
Predicting Plasma Vitamin C Using Machine Learning
( Taylor and Francis Ltd. , 2022 , Article)Precision Nutrition makes use of personal information about individuals to produce nutritional recommendations that have more utility than general population level recommendations. In many cases, being able to predict ... -
Predicting ratings of social media feeds: combining latent-factors and emotional aspects for improving performance of different classifiers
( Emerald Publishing , 2022 , Article)Purpose: The widespread acceptance of various social platforms has increased the number of users posting about various services based on their experiences about the services. Finding out the intended ratings of social media ... -
PREDICTING ROAD ROUGHNESS PROFILE USING DYNAMIC VEHICLE ACCELERATIONS AND ARTIFICIAL NEURAL NETWORKS
( Society of Acoustics , 2022 , Conference Paper)Road roughness can cause ride discomfort and contribute to the emission of ground-borne noise and vibration. A robust monitoring regime of road roughness is essential for the efficient maintenance of a country's road ... -
Predicting student-perceived learning outcomes and satisfaction in ERP courses: An empirical investigation
( Association for Information Systems , 2011 , Article)This article uses the Unified Theory of Acceptance and Use of Technology model (UTAUT) as the basis for the research framework to examine factors that influence student-perceived learning outcomes and satisfaction in ...
