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TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection
Published 2020“…TIDCS reduces the number of features in the input data based on a new algorithm for feature selection. Initially, the features are grouped randomly to increase the probability of making them participating in the generation of different groups, and sorted based on their accuracy scores. …”
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Detection of statistically significant network changes in complex biological networks
Published 2017“…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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Comparative evaluation of Dy(III) selective poly(vinyl) chloride based membrane electrodes of macrocyclic tetraimine Schiff’s bases
Published 2009“…Three different derivatives of macrocyclic tetraimine Schiff’s base have been synthesized and explored as a neutral ionophores for preparing poly(vinyl chloride) based membrane sensors selective to Dy3+. …”
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Research Based Pedagogy to Enhance Quality of Learning: A Study Among Selected Higher Education Institutions in the UAE
Published 2024“…Research Based Pedagogy is referred to as a significant concept that would facilitate in creating research culture and to graduate students with high cognitive thinking order. …”
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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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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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Board changes and CEO turnover
Published 2014“…For firms that decrease independence, the CEO turnover performance sensitivity significantly decreases following SOX. …”
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Enhancing fairness and scalability in IOTA tangle networks: a POMDP-based tip selection algorithm for decentralized systems
Published 2025“…This study presents a novel Partially Observable Markov Decision Process (POMDP)-based Tip Selection Algorithm (TSA) to optimize fairness in the IOTA Tangle. …”
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Low-Complexity Machine Learning-based Behavioral Modeling of Power Amplifiers
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Forecasting model to predict project success based on the contractors’ characteristics
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A slow but steady nanoLuc: R162A mutation results in a decreased, but stable, nanoLuc activity
Published 2024“…<p dir="ltr">NanoLuc (NLuc) <u>luciferase</u> has found extensive application in designing a range of <u>biologica</u><u>l</u><u> assays,</u> including <u>gene expression analysis</u>, protein-protein interaction, and protein conformational changes due to its enhanced brightness and small size. …”
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Notch Signaling Inhibition by LY411575 Attenuates Osteoblast Differentiation and Decreased Ectopic Bone Formation Capacity of Human Skeletal (Mesenchymal) Stem Cells
Published 2019“…Global gene expression profiling of LY411575-treated cells revealed changes in multiple signaling pathways, including focal adhesion, insulin, TGFβ, IL6, and Notch signaling, and decreased the expression of genes associated with functional categories of tissue development. …”
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Vocal Changes in Patients With Polycystic Ovary Syndrome
Published 2011“…There was no statistically significant difference in the acoustic parameters except for an increase in the relative average perturbation (P value = 0.035) and a decrease in maximum phonation time (P value = 0.001) in patients with PCOS. …”
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Intelligent Hybrid Feature Selection for Textual Sentiment Classification
Published 2021“…The selected sentiment features are further refined by applying a wrapper-based backward feature selection method. …”
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Qatari national scholarships: University selectivity and student outcomes
Published 2015“…When the selectivity was narrowed by bifurcating students who were enrolled in highly ranked (top-200 universities) and those lower-ranked universities (below the top 200-ranked universities or non-ranked universities), a main and significant statistical difference was found for selectivity on university achievement and time of study. …”
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The Impact of Artificial Intelligence on Institutional Recruitment and Selection Processes
Published 2024“…The research sheds light on the significance of AI in recruitment and selection processes, providing insights into how it can improve the efficiency and accuracy of selection procedures while reducing human biases. …”
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