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Precise method for linearizing sine and cosine signals in resolvers and quadrature encoders applications
( IEEE , 2004 , Conference Paper)Resolvers and quadrature encoders provide electrical signal related to the sine and cosine of the mechanical shaft angle over the full 360 degree range. A converter is described for the linearization of these signals, ... -
Precise, wide-range approximations to arc sine function suitable for analog implementation in sensors and instrumentation applications
( IEEE , 2005 , Article)This paper presents four newly developed algebraic approximations of the inverse sine function, defined for the full [-1,+1] input range. These approximations contain few terms, and have numerical coefficients with low ... -
Precision nutrition: A systematic literature review
( Elsevier , 2021 , Article Review)Precision Nutrition research aims to use personal information about individuals or groups of individuals to deliver nutritional advice that, theoretically, would be more suitable than generic advice. Machine learning, a ... -
Preclinical orofacial pain assays and measures and chronic primary orofacial pain research: where we are and where we need to go
( Frontiers Media S.A. , 2023 , Article Review)Chronic primary orofacial pain (OFP) conditions such as painful temporomandibular disorders (pTMDs; i.e., myofascial pain and arthralgia), idiopathic trigeminal neuralgia (TN), and burning mouth syndrome (BMS) are seemingly ... -
Precoded spatial modulation for the wiretap channel with relay selection and cooperative jamming
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)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 ... -
Precoder Design and Power Allocation for MIMO Cognitive Radio Two-Way Relaying Systems
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)In this paper, we study a multiple-antenna two-way relaying (TWR) cognitive radio (CR) system. A space alignment (SA) technique is adopted by the secondary users (SUs) to avoid interference with the primary users (PUs). ... -
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 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 ...