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Ensemble Deep Random Vector Functional Link Neural Network for Regression
Published 2022“…Our present work first fills the gap of dRVFL and edRVFL work in the field of regression. We test and evaluate the performances of the dRVFLs on regression problems. …”
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Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation
Published 2024“…In this study, a brain age classification and estimation framework is proposed using structural magnetic resonance imaging (sMRI) scans, a 3-D convolutional neural network (3-D-CNN), and a kernel ridge regression-based random vector functional link (KRR-RVFL) network. …”
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A clustering metaheuristic for large orienteering problems
Published 2022“…The metaheuristic aims to dramatically improve the computation time of a given Orienteering Problem algorithm without a significant decrease in the solution quality of that algorithm, especially for large Orienteering Problems. …”
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A GRASP Approach for Solving Large-Scale Electric Bus Scheduling Problems
Published 2021“…The results of the conducted computational experiments indicate that an increase in infrastructure investment through high speed chargers can significantly decrease the size of the necessary fleets. …”
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Parallel multi-voltage power minimization in VLSI circuits. (c2013)
Published 2013Get full text
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Shear Strength Behavior of Tire Shred-Dune Sand Admixtures
Published 2025Get full text
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Assessment and Performance Analysis of Machine Learning Techniques for Gas Sensing E-nose Systems
Published 2021Get full text
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COVID-19 biomarkers for severity mapped to polycystic ovary syndrome
Published 2020“…<p dir="ltr">Large scale multi-omics analysis has identified significant differences in the biomarkers between COVID-19 disease and control subjects [1]. …”
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Hyperspectral-physiological based predictive model for transpiration in greenhouses under CO<sub>2</sub> enrichment
Published 2023“…Three machine learning models were investigated for transpiration modelling and prediction: deep neural networks (DNN), extreme gradient boosting (XGBoost), and support vector machine regression (SVR). These predictive models assimilate microclimate, physiological and hyperspectral features with high temporal and spatial resolutions. …”
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Effect of consanguinity on birth weight for gestational age in a developing country
Published 2007“…No significant difference was observed in the decrease in birth weight between the first- and second-cousin marriages. …”
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Optimisation of PV Cleaning Practices: Comparison Between Performance Based and Periodic Based Approaches
Published 2018“…Solar energy has the largest untapped reserve in energy and is one of the fastest emerging energy markets. …”
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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“…A total of seven machine learning (ML) models such as kernel ridge regression, K-nearest neighbors, support vector regression, classification and regression trees, random forest, gradient boosted trees, and extreme gradient boosting (xgBoost) are evaluated to propose the best predictive model for FRCM-strengthened beams. …”
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Optimizing the number of players and training bout durations in soccer small‐sided games: Effects on mood balance and technical performance
Published 2025“…Therefore, coaches should consider longer continuous bouts when planning SSGs‐based training to significantly decrease TMD and enhance technical‐tactical performance in soccer SSGs.…”
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Visible Light Photocatalytic Activity of Ag/WO<sub>3</sub> Nanoparticles and its Antibacterial Activity Under Ambient Light and in The Dark
Published 2022“…Ultraviolet–visible spectra analysis observed a large redshift in the absorbing band edge and decreased bandgap energy from 2.6 to 2.1 eV. …”
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Redox Homeostasis and Inflammation Responses to Training in Adolescent Athletes: a Systematic Review and Meta-analysis
Published 2020“…</p><h3>Conclusions</h3><p dir="ltr">The results showed significant alterations in oxidative stress and cytokine levels after acute exercise, ranging from moderate to extremely large. …”
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An Improved Genghis Khan Optimizer based on Enhanced Solution Quality Strategy for Global Optimization and Feature Selection Problems
Published 2024“…Feature selection (FS) is the activity of defining the most contributing feature subset among all used features to improve the superiority of datasets with a large number of dimensions by selecting significant features and eliminating redundant and irrelevant ones. …”
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Stemming cardiovascular diseases in Qatar
Published 2015“…“Both Qatari nationals and expatriates should adopt healthier lifestyles to reduce the prevalence of these risk factors,” says Christos. Diabetes was the largest preventable risk factor to decrease heart attacks and strokes.…”
