بدائل البحث:
selection based » detection based (توسيع البحث)
aspect » aspects (توسيع البحث)
decrease » increase (توسيع البحث)
selection based » detection based (توسيع البحث)
aspect » aspects (توسيع البحث)
decrease » increase (توسيع البحث)
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TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection
منشور في 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
منشور في 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
منشور في 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
منشور في 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
منشور في 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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Forecasting model to predict project success based on the contractors’ characteristics
منشور في 2018احصل على النص الكامل
doctoralThesis -
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Nested ensemble selection: An effective hybrid feature selection method
منشور في 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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Enhancing fairness and scalability in IOTA tangle networks: a POMDP-based tip selection algorithm for decentralized systems
منشور في 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
منشور في 2025احصل على النص الكامل
doctoralThesis -
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Variable Selection in Data Analysis: A Synthetic Data Toolkit
منشور في 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
منشور في 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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A machine learning-based optimization approach for pre-copy live virtual machine migration
منشور في 2023"…To address the issue, this paper proposes a machine learning-based method to optimize pre-copy migration. It has mainly three stages (i) Feature selection (ii) Model generation and (iii) Application of the proposed model in pre-copy migration. …"
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Genetic-Algorithm-Based Neural Network for Fault Detection and Diagnosis: Application to Grid-Connected Photovoltaic Systems
منشور في 2022"…Only the most important features are selected to be supplied to the ANN classifier. The classification performance is determined via different metrics for various GA-based ANN classifiers using data extracted from the healthy and faulty data of the GCPV system. …"
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Intelligent Hybrid Feature Selection for Textual Sentiment Classification
منشور في 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
منشور في 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. …"