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Prediction models for bond strength of steel reinforcement with consideration of corrosion
(Materials Today: Proceedings;Volume 45, Part 6, Peer reviewed; Journal article, 2021-04-02)Corrosion phenomena is one of the main deterioration causes, which remarkably affects the behavior of structural reinforced concrete (RC) members in seismic regions. Researches on reducing rehabilitation cost, performance ... -
Prediction Models for Thermal Conductivity of Cement-based Composites
(Nordic Concrete Research;No. 58 – 1/2018, Journal article; Journal article; Peer reviewed, 2018-10-25)Cement-based materials are the most consumed materials in the construction industry. Low or high thermal conductive cement-based materials are of interest in applications such as embedded floor heating systems, building ... -
Prediction of Age Older than 18 Years in Sub-adults by MRI Segmentation of 1st and 2nd Molars
(Journal article; Peer reviewed, 2023)Purpose To investigate prediction of age older than 18 years in sub-adults using tooth tissue volumes from MRI segmenta- tion of the entire 1st and 2nd molars, and to establish a model for combining information from two ... -
Prediction of cloud fractional cover using machine learning
(Big Data and Cognitive Computing;Volume 5 / Issue 4, Peer reviewed; Journal article, 2021-11-03)Climate change is stated as one of the largest issues of our time, resulting in many unwanted effects on life on earth. Cloud fractional cover (CFC), the portion of the sky covered by clouds, might affect global warming ... -
Prediction of CYP2D6 poor metabolizers by measurements of solanidine and metabolites—a study in 839 patients with known CYP2D6 genotype
(Peer reviewed; Journal article, 2023)Purpose Poor metabolizers (PMs) of the highly polymorphic enzyme CYP2D6 are usually at high risk of adverse effects during standard recommended dosing of CYP2D6-metabolized drugs. We studied if the metabolism of solanidine, ... -
Prediction of influent composition in wastewater and sludge based on Statistical and Machine Learning models
(Master thesis, 2023)For the optimized operation of a wastewater resource recycle facility (WWRF), it is essential to consider significant disturbances such as fluctuations in the influent flow rate and wastewater compositions. The online ... -
Prediction of properties of FRP-confined concrete cylinders based on artificial neural networks
(Crystals;Volume 10, Issue 9, Journal article; Peer reviewed, 2020-09-14)Recently, the use of fiber-reinforced polymers (FRP)-confinement has increased due to its various favorable effects on concrete structures, such as an increase in strength and ductility. Therefore, researchers have been ... -
Prediction of schizophrenia from activity data using hidden Markov model parameters
(Peer reviewed; Journal article, 2022) -
Prediction of seismic damage spectra using computational intelligence methods
(Computers & structures;, Peer reviewed; Journal article, 2021)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 Stress Correction Factor for Welded Joints Using Response Surface Models
(ASME 2021 40th International Conference on Ocean, Offshore and Arctic Engineering;Volume 2: Structures, Safety, and Reliability, Conference object, 2021-10-11)While performing fatigue reliability analysis of the butt-welded joints it is vital to estimate the Stress Concentration Factor at these joints. A common approach adopted by industry to estimate the SCF at weld toes is to ... -
Prediction of the Eigenperiods of MDOF Shear Buildings Using Neural Networks
(International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering;8th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, Conference object, 2021)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 the Load-Bearing Behavior of SPSW with Rectangular Opening by RBF Network
(Applied Sciences;Volume 10 / Issue 3: Special Issue - Soft Computing Techniques in Structural Engineering and Materials, Journal article; Peer reviewed, 2020-02-10)As a lateral load-bearing system, the steel plate shear wall (SPSW) is utilized in different structural systems that are susceptible to seismic risk and because of functional reasons SPSWs may need openings. In this ... -
Predictions of electricity consumption in a campus building using occupant rates and weather elements with sensitivity analysis: Artificial neural network vs. linear regression
(Peer reviewed; Journal article, 2020)This study compares building electric energy prediction approaches that use a traditional statistical method (linear regression) and artificial neural network (ANN) algorithms. We investigate how significantly occupancy ... -
Predictions of Spectral Parameters by Several Inflationary Universe Models in light of the Planck Results
(Universe;Volume 4, Issue 2, Journal article; Peer reviewed, 2018-01-29)I give a review of predictions of values of spectral parameters for a large number of inflationary models. The present review includes detailed deductions and information about the approximations that have been made, written ... -
Predictive effect of determinants of health on prevalence of diseases in India. An approach for measurement in a multi-factorial and multi-level setting.
(Master thesis, 2016)The burden of acute and chronic diseases in India is higher than their respective global averages. To mitigate this in an effective and resource efficient way, the concerned health policy should undertake interventions ... -
Predictive validity and gender differences in a biopsychosocial model of violence risk assessment in acute psychiatry
(Psychiatry Research;Volume 264, June 2018, Journal article; Peer reviewed, 2018-04-09)Current violence risk assessment methods seem to have reached an upper limit of accuracy. More comprehensive biopsychosocial models may improve on existing methods. Research on gender differences concerning risk factors ... -
Predictive value of C-reactive protein in patients treated with sunitinib for metastatic clear cell renal cell carcinoma
(BMC Urology;17(1), Journal article; Peer reviewed, 2017-08-31)Background Sunitinib has become mainstay first line treatment for patients with metastatic renal clear cell carcinoma (mRCC). Still, useful predictive markers of response are lacking and urgently needed for clinical ... -
Predictors in starting and stopping Internet use between 2002 and 2012 by Dutch adults 65 years and older
(Health Informatics Journal;, Journal article; Peer reviewed, 2017-07-27)Research has indicated the need to consider the ageing process with technology adoption by older adults. This study examined psychological, health, social and demographic predictors with starting and stopping Internet ... -
Predictors of academic performance and education programme satisfaction in occupational therapy students
(Journal article; Peer reviewed, 2015-12-10)Introduction: Thriving and performing well in entry-level programmes is important to occupational therapy students, but also for the competitive status of the institutions providing their education. The literature is ... -
Predictors of Disordered Eating in Adolescence and Young Adulthood: A Population-Based, Longitudinal Study of Females and Males in Norway
(International Journal of Behavioral Development;38(2), Journal article; Peer reviewed, 2014-03)We investigated longitudinal predictors for disordered eating from early adolescence to young adulthood (12–34 years) across gender and different developmental phases among Norwegian young people. Survey data from a ...