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Nested ensemble selection: An effective hybrid feature selection method
Published 2023“…To address this issue, we propose a highly effective approach, called Nested Ensemble Selection (NES), that is based on a combination of filter and wrapper methods. …”
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TCAD Simulation and Analysis of Selective Buried Oxide MOSFET Dynamic Power
Published 2019“…Although the silicon-on-insulator (SOI) MOSFET was introduced to resolve these limitations, other challenges were introduced including the kink effect in the current-voltage characteristics. The selective buried oxide (SELBOX) MOSFET was then suggested to resolve the problem of the kink effect. …”
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Detection of statistically significant network changes in complex biological networks
Published 2017“…</p><h3>Methods</h3><p dir="ltr">In this paper, we propose an improvement over the state-of-the-art based on the Generalized Hamming Distance adopted for evaluating the topological difference between two networks and estimating its statistical significance. The proposed procedure exploits a more effective model selection criteria to generate <i>p</i>-values for statistical significance and is more efficient in terms of computational time and prediction accuracy than literature methods. …”
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Independent and Combined Effects of Antioxidant Supplementation and Circuit Resistance Training on Selected Adipokines in Postmenopausal Women
Published 2019“…<p dir="ltr">We examined the effects of the independent and combined effects of Zataria Multiflora supplementation and circuit resistance training (CRT) on selected adipokines among postmenopausal women. …”
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Bacteriuria in pregnancy varies with the ambiance: a retrospective observational study at a tertiary hospital in Doha, Qatar
Published 2023“…<h3>Objectives</h3> <p>To explore the influence of ambient temperature and humidity on significant bacteriuria (SB) and urinary bacterial isolates in pregnant women.…”
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Consumer involvement in restaurant selection
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Variable Selection in Data Analysis: A Synthetic Data Toolkit
Published 2024“…This paper aims to address the significant lack of formal evaluation benchmarks for feature selection algorithms (FSAs). …”
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UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data
Published 2024“…To overcome these challenges, a new FS algorithm named Uniform-solution-driven Binary Feature Selection (UniBFS) has been developed in this study. …”
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Correlating process parameters to thrust forces and torque in the friction stir processing of AZ31B
Published 2014“…The thrust force increased while the torque decreased as the tool rotational speed increased. …”
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An evaluation of recruitment and selection processes in three organizations in the UAE
Published 2011“…The main objective of this research is to investigate the current effectiveness of recruitment and selection in three UAE organizations assessing strengths and weaknesses as well as comparing them with models of best practice. …”
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Intelligent Hybrid Feature Selection for Textual Sentiment Classification
Published 2021“…Effective feature extraction and selection are significant for the SA because they can boost the learning algorithm’s predictive performance while reducing the high-dimensional feature space. …”
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Qatari national scholarships: University selectivity and student outcomes
Published 2015“…The finding showed the main effects for selectivity, bifurcated into ranked universities (top-1096 universities) and those non-ranked on university achievement. …”
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A Bayesian Approach to Feature Selection in Classification Problems
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The apoptotic and anti‐proliferative effects of Neosetophomone B in T‐cell acute lymphoblastic leukaemia via PI3K/AKT/mTOR pathway inhibition
Published 2024“…This study investigates the effects of Neosetophomone B (NSP‐B), a meroterpenoid fungal metabolite, on T‐ALL cell lines, focusing on its anti‐cancer mechanisms and therapeutic potential. …”
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Comparative studies of neodymium (III)-selective PVC membrane sensors
Published 2009“…The sensor with ionophore (L1) exhibits significantly enhanced selectivity towards neodymium (III) in the concentration range 5.0×10−7 to 1.0×10−2M with a detection limit of 1.0×10−7M and a Nernstian compliance (19.8±0.3mVdecade−1 of activity) within pH range 4.0–8.0. …”
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Highly selective adsorption of gases on functionalized spin-polarized dichalcogenide alloy
Published 2025“…Doping of MoSeS alters its selective gas adsorption for selected gases. Therefore, the effect of doping of MoSeS on its adsorption for greenhouse and climate change-related gases (NO, NO<sub>2</sub>, NH<sub>3</sub>, CO, CO<sub>2</sub>, O<sub>2</sub>, H<sub>2</sub>, H<sub>2</sub>O, and H<sub>2</sub>S) is explored. …”