Showing 161 - 180 results of 2,826 for search 'mitigating features', query time: 0.10s Refine Results
  1. 161

    Family protection motivation and economic vulnerability: a network analysis of public influenza risk perception, education and mitigation strategies in China by Cheng Yang, Cheng Yang, Jiawei Li, Jiawei Li, Xianqiong Feng, Xianqiong Feng, Shaoyu Su, Shaoyu Su, Qin Zeng, Qin Zeng

    Published 2025-08-01
    “…This gap impedes effective interventions targeting critical behavioral nodes in influenza mitigation.ObjectiveThis study employs network analysis to uncover the core structural features of influenza risk perception among the Chinese public, examining the association between science literacy and risk perception to inform targeted mitigation and intervention strategies.DesignA multicenter, cross-sectional network analysis study using convenience sampling.SettingFifteen provinces across mainland China, covering eastern, western, southern, northern, and central regions.Participants1,416 individuals aged 18–70, representing diverse occupations, education levels, and income groups.ResultsThe public’s influenza risk perception network exhibited a “family-knowledge-economy” triadic structure. …”
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  2. 162

    Recursive Effects to Study Feature-Based Capabilities in Supply Chain Management by Pietro De Giovanni

    Published 2020-11-01
    “…In addition, we analyze the consumers’ customization options and the needs for facilitators to mitigate the negative effects of excessive features. …”
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  3. 163

    MFEAM: Multi-View Feature Enhanced Attention Model for Image Captioning by Yang Cui, Juan Zhang

    Published 2025-07-01
    “…To mitigate the impact of excessive feature enhancement, the student model divides the decoding layer into two groups, which separately process instance features and the relationships between instances. …”
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  4. 164
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    Lane Detection Based on CycleGAN and Feature Fusion in Challenging Scenes by Eric Hsueh-Chan Lu, Wei-Chih Chiu

    Published 2025-01-01
    “…This method can extract features of different styles and multi-scales, thereby increasing the richness of model input. …”
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  6. 166

    Enhancing the classification of seismic events with supervised machine learning and feature importance by Eman L. Habbak, Mohamed S. Abdalzaher, Adel S. Othman, HA Mansour

    Published 2024-12-01
    “…This paper’s principal contribution is applying feature selection techniques and feature importance analysis to identify the best features leading to the best events’ discrimination. …”
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  7. 167

    The Bright Feature Transform for Prominent Point Scatterer Detection and Tone Mapping by Gregory D. Vetaw, Suren Jayasuriya

    Published 2025-03-01
    “…We then modify the BFT to present a difference of trigonometric functions to mitigate speckle scatterers and other random noise sources found in the imagery. …”
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  8. 168

    Bio inspired feature selection and graph learning for sepsis risk stratification by D. Siri, Raviteja Kocherla, Sudharshan Tumkunta, Pamula Udayaraju, Krishna Chaitanya Gogineni, Gowtham Mamidisetti, Nanditha Boddu

    Published 2025-05-01
    “…To address these gaps, this study proposes a novel framework that integrates bio-inspired feature selection and graph-based deep learning for enhanced sepsis risk prediction. …”
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  9. 169

    Multilevel Feature Interaction Network for Remote Sensing Images Semantic Segmentation by Hongkun Chen, Huilan Luo

    Published 2024-01-01
    “…Furthermore, to mitigate the semantic dilution issues caused by upsampling, a semantic-guided fusion module is introduced to enhance the propagation of rich semantic information among features. …”
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  10. 170
  11. 171

    Federated cross-view e-commerce recommendation based on feature rescaling by Ruiheng Li, Yuhang Shu, Yue Cao, Yiming Luo, Qiankun Zuo, Xuan Wu, Jiaojiao Yu, Wenxin Zhang

    Published 2024-12-01
    “…By addressing data heterogeneity and optimizing feature utilization through dynamic rescaling, Fed-FR-MVD effectively mitigates the impact of noisy data, with performance maintained across noise levels of 5%–15%. …”
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  12. 172

    Prediction model for chemical explosion consequences via multimodal feature fusion by Yilin Wang, Beibei Wang, Yichen Zhang, Jiquan Zhang, Yijie Song, Shuang-Hua Yang

    Published 2025-08-01
    “…The accurate prediction of such incidents plays a pivotal role in risk mitigation and safety enhancement within the chemical industry. …”
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  13. 173

    Multiscale Feature Reconstruction and Interclass Attention Weighting for Land Cover Classification by Zongqian Zhan, Zirou Xiong, Xin Huang, Chun Yang, Yi Liu, Xin Wang

    Published 2024-01-01
    “…In this work, we present two pluggable modules to further boost serial learning architecture: first, to cope with ambiguous boundaries caused by lost details and fragmented segmentation stemmed from scale variances, a combination of spatial attention and channel attention is proposed for multiscale feature reconstruction (MSFR); second, to mitigate the classification error caused by intraclass variance and interclass correlation, we explore an interclass attention weighting (ICAW) module, which builds feature vectors for each category, and applies a multihead attention model to capture self-attention dependence among different categories. …”
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    Effect of green building features on energy efficiency of university buildings in tropical climate by Ahamed Zacki, Shakila Pathirana

    Published 2025-12-01
    “…While green roofs and walls provided moderate energy benefits, they offered substantial environmental advantages such as urban heat island mitigation. The study recommends prioritizing cost-effective measures like LED lighting and double glazing in university retrofits, and it highlights the need for future research on integrating multiple green features and expanding simulations to varied climatic zones.…”
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  19. 179

    Multimodal framework for phishing attack detection and mitigation through behavior analysis using EM-BERT and SPCA-BASED EAI-SC-LSTM by Mahmoud Murhej, G. Nallasivan

    Published 2025-07-01
    “…Then, by utilizing Spherical Principal Component Analysis (SPCA), the features are extracted. Further, the optimal features are chosen by using the Cauchy distribution-based Seagull Optimization Algorithm (CSOA). …”
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  20. 180

    A Moving Object Detection Method Based on Conditional Information and Feature Deepening by Hongrui Zhang, Luxia Yang

    Published 2025-01-01
    “…Then, an autoencoder architecture is constructed by combining multiple small encoders and residual connections, enhancing feature propagation while mitigating detail degradation caused by generative oversampling. …”
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