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Using Data Mining and Text Mining Techniques in Predicting the Price of Real Estate Properties in Dubai
Published 2014“…The root mean squared errors RMSEs for all data subsets have decreased leading to enhancing the accuracy of prediction. …”
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Data-driven robust model predictive control for greenhouse temperature control and energy utilisation assessment
Published 2023“…First, an analytical model based on mass and energy balance and a data-driven model based on an artificial neural network is developed, and their prediction performance is compared. …”
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Epigenetic analysis of Paget’s disease of bone identifies differentially methylated loci that predict disease status
Published 2021“…Meta-analysis of data from the discovery and cross-validation set, each comprising 116 PDB cases and 130 controls, revealed significant differences in DNA methylation at 14 CpG sites, 4 CpG islands, and 6 gene-body regions. …”
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Prediction the performance of multistage moving bed biological process using artificial neural network (ANN)
Published 2020“…The removal efficiencies in the proposed ENR-BP were four fold higher than the suspended growth process and in the same order of magnitude of 5-stage Bardenpho-MBBR. The developed ANN-based model provides an efficient and robust tool for predicting and forecasting the performance of the ENR-BP.…”
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Accurate prediction of dynamic viscosity of polyalpha-olefin boron nitride nanofluids using machine learning
Published 2023“…These results suggest that the use of machine learning models can significantly improve the accuracy of predicting the viscosity of PAO-hBN nanofluids. …”
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Interval-Valued Reduced Ensemble Learning Based Fault Detection and Diagnosis Techniques for Uncertain Grid-Connected PV Systems
Published 2022“…Ensemble method is a tool that merges several base models in order to produce one optimal predictive model. …”
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Biochar yield prediction using response surface methodology: effect of fixed carbon and pyrolysis operating conditions
Published 2023“…An empirical equation is developed based on a statistically significant quadratic model to produce optimized biochar yield with high prediction accuracy. …”
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A screening instrument for sleep apnea predicts airway maneuvers in patients undergoing advanced endoscopic procedures
Published 2010“…Background & Aims Among patients undergoing advanced endoscopy, unrecognized obstructive sleep apnea (OSA) could predict sedation-related complications (SRCs) and the need for airway maneuvers (AMs). …”
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Semi-analytical Model to Predict Dynamic Capillary Pressure–Saturation Relationship for Flows in Heterogeneous Porous Media
Published 2024“…In this paper, we develop a first of a kind semi-analytical model to predict the capillary pressure–saturation curves during drainage displacement by integrating the dynamics of fluid flow based on fundamental laws of fluid mechanics. …”
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Machine learning and discriminant function analysis in the formulation of generic models for sex prediction using patella measurements
Published 2022“…Some bones like the skull and pelvis display distinct morphological traits that are based on shape. These morphological traits which are sexually dimorphic across different population groups have been shown to provide an acceptably high degree of accuracy in the prediction of sex. …”
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Prediction of pressure gradient for oil-water flow: A comprehensive analysis on the performance of machine learning algorithms
Published 2022“…A Friedman's test and Wilcoxon Sign-Rank post hoc analysis with Bonferroni correction show that PG prediction errors using GP are significantly lower than using the ANN model (p < 0.05). …”
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Predictive factors for giftedness among Syrian refugee students: A focus on academic achievement, gender, and school context
Published 2023“…Middle school students were less likely to be identified compared to secondary students, while gender differences were not significant. Predictive modeling results should be interpreted with caution, as gifted identification was derived directly from the HOPE total score; models incorporating HOPE items closely mirrored the HOPE-based classification, whereas models using only demographic variables had limited discriminatory power. …”
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Explainable machine learning model and reliability analysis for flexural capacity prediction of RC beams strengthened in flexure with FRCM
Published 2022“…The predicted flexural and load capacities of the beams based on the existing analytical models are highly scattered and either over-conservative or unsafe. …”
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Predicting long-term type 2 diabetes with support vector machine using oral glucose tolerance test
Published 2019“…Data generated from an oral glucose tolerance test (OGTT) was used to develop a predictive model based on the support vector machine (SVM). …”
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Prediction of transportation index for urban patterns in small and medium-sized Indian cities using hybrid RidgeGAN model
Published 2023“…A hybrid framework based on Kernel Ridge Regression (KRR) and the CityGAN model is introduced to predict network density using spatial indicators of human settlements. …”
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Development and Validation of the Motivation for Tutoring Questionnaire in Problem-Based Learning Programs
Published 2017“…In addition, tutoring efficacy scores significantly increased by years of tutoring experience and predicted 38% of the variance in self-rated tutoring skills scores. …”
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