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A Novel Temporal Footprints-Based Framework for Fake News Detection
Published 2024-01-01“…With the evolution of social media platforms, the detection of fake news and misinformation is gaining popularity. …”
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An adaptive initialization and multitasking based evolutionary algorithm for bi-objective feature selection in classification
Published 2025-05-01“…Abstract Evolutionary algorithms have become a widely-used approach for solving multi-objective optimization problems over the last decades, while feature selection in classification is also a discrete bi-objective optimization problem that aims at simultaneously minimizing the classification error and the number of selected features. …”
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AI-based tool wear prediction with feature selection from sound signal analysis
Published 2025-08-01“…One of the core elements of this evolution is tool wear monitoring. In automated production systems, the condition of tools greatly influences production efficiency, cutting stability, and the quality of machined surfaces. …”
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CB-MTE: Social Bot Detection via Multi-Source Heterogeneous Feature Fusion
Published 2025-06-01“…Traditional bot detection methods, constrained by single-source features, often fail to capture the complete behavioral and contextual characteristics of social bots, especially their dynamic behavioral evolution and group coordination tactics, resulting in feature incompleteness and reduced detection performance. …”
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Enhancing voice spoofing detection in noisy environments using frequency feature masking augmentation
Published 2025-03-01“…To address this issue, we propose a data augmentation technique called Frequency Feature Masking (FFM), which randomly masks frequency bands. …”
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Data Flow Forecasting for Smart Grid Based on Multi-Verse Expansion Evolution Physical–Social Fusion Network
Published 2025-06-01“…Secondly, establish a financial flow data forecasting framework using MVE<sup>2</sup>-STFN. Then, a feature extraction model is developed by integrating convolutional neural networks (CNN) for spatial feature extraction and bidirectional long short-term memory networks (BiLSTM) for temporal feature extraction. …”
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Évolution des images du FLE à l'université : une étude de cas au Portugal
Published 2009-04-01“…Taking the concept of "image" as a central feature in the process of language teaching and learning, this article describes and attempts to understand the images of Portuguese higher education students concerning French as a foreign language, during two consecutive academic years. …”
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insilico.mutagenesis: a primer selection tool designed for sequence scanning applications used in directed evolution experiments
Published 2005-11-01“…In anticipation of downstream cloning steps, the primer design tool also includes a restriction site control feature alerting the user if unwanted restriction sites have been introduced within the mutagenesis primer. …”
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The significance of follow-up in patients with dysmorphic features: a case from clinical practice
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Can Implicit Solvation Methods Capture Temperature Effects on the Infrared Features of Astrophysical Ices?
Published 2025-02-01“…We investigate the ability of implicit solvation approaches to capture temperature-dependent infrared spectral features of CO<sub>2</sub> molecules embedded in astrophysical ice analogues, comparing their performance to that of explicit ice models and experimental data. …”
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The functional-semantic features of phraseological units containing words with the etymon god- in the Russian language
Published 2017-10-01“…The purpose of the research is to trace the semantic transformations of lexemes with the etymon god-, as part of phraseological units, and to study the features of using phraseological units with the specified words. …”
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Correlation Between Macroscopic Features of Ischemic Skin Injury and Subdermal Plexus Damage in Lipoabdominoplasty
Published 2025-08-01“…Until now, these ischemic lesions have not been classified from a pathological macroscopic perspective, nor have their distinct patterns of presentation and evolution been described. This lack of classification has made understanding and appropriate management more challenging. …”
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Integrating SNP data to reveal the adaptive selection features of goat populations in extreme environments
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Spectral Features of the Energy-containing Range and the Inertial Range in Fast Solar Wind Turbulence
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Scale-Dependent Inverse Temperature Features Associated With Crashes in the US and Japanese Stock Markets
Published 2025-01-01“…In the dynamics of β, the most prominent features are peaks at various times. We identified five esoteric and seven characteristic peaks and studied how they change with scale ϵ. …”
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