Showing 221 - 240 results of 2,826 for search 'mitigating features', query time: 0.14s Refine Results
  1. 221

    Fine-Grained Aircraft Recognition Based on Dynamic Feature Synthesis and Contrastive Learning by Huiyao Wan, Pazlat Nurmamat, Jie Chen, Yice Cao, Shuai Wang, Yan Zhang, Zhixiang Huang

    Published 2025-02-01
    “…First, to mitigate the loss of local detail information, we introduce a learnable Gabor filter-based texture feature extractor, which enhances the discriminative feature representation of aircraft categories by capturing detailed texture information. …”
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    MOBCSA: Multi-Objective Binary Cuckoo Search Algorithm for Features Selection in Bioinformatics by Hudhaifa Mohammed Abdulwahab, S. Ajitha, Mufeed Ahmed Naji Saif, Belal Abdullah Hezam Murshed, Fahd A. Ghanem

    Published 2024-01-01
    “…Therefore, an effective feature selection (FS) technique is crucial to mitigate dimensionality, thereby enhancing the performance and accuracy of medical diagnosis. …”
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    Article
  5. 225

    Losing the carbon game? Changing face of a tropical smart metro city and its repercussions on carbon sequestration, heat and flood mitigation capacity by Pratiksha Chalke, Pankaj Koparde

    Published 2025-06-01
    “…Hills of Pune exhibit a higher heat mitigation compared to the rest of the area. Our results highlight the importance of native geological features such as hills in carbon sequestration, heat and flood mitigation. …”
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  6. 226

    Joint Intensity and Spatio-Temporal Representation Learning for Extreme Precipitation Nowcasting by Zefeng Pan, Renlong Hang, Qingshan Liu, Chunxiang Shi, Zhiqiang Xu, Xiao-Tong Yuan

    Published 2025-01-01
    “…To address this issue, we design an Intensity Trend Module (ITM) to explicitly learn and model the intensity features of extreme precipitation events. ITM employs intensity trend factors to capture the intensity features of extreme precipitation, thereby mitigating intensity misestimation. …”
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    Repurposing Dapagliflozin for Mitigation of the Kidney Injury Triggered by Cadmium in Rats: Role of Autophagy, Apoptosis, and the SIRT1/Nrf2/HO-1 Pathway by Hany H. Arab, Musaad M. Althobaiti, Abdulaziz S. Alharthi, Emad O. Almalki, Saif S. Alsoubie, Jawad M. Qattan, Saeed A. Almalki, Ahmed M. Ashour, Ahmed H. Eid

    Published 2024-12-01
    “…<b>Background/Objectives:</b> The antioxidant/antiapoptotic features of dapagliflozin (DPG) have mediated its beneficial actions against several experimental models. …”
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  10. 230

    DFC-Net: Dual-Branch Collaborative Feature Enhancement for Cloud Detection in Remote Sensing Images by Wanting Zhou, Yan Mo, Qiaofeng Ou, Shaowei Bai

    Published 2025-01-01
    “…In the network architecture, the residual fusion module is designed to construct an enhanced global feature pyramid, which then fuses with the decoder feature to mitigate spatial information loss and strengthen global representation. …”
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    Article
  11. 231

    English Tag Question as Linguo-Ecological Phenomenon of Interpersonal Communication by V. V. Selezneva, E. A. Evsikova, A. Sh. Tarverdyan

    Published 2019-07-01
    “…It is concluded that the basis of tag question ecological functioning is the syncretism of the dominant features of the English communicative style - distancing, indirectness, non-categoricalness, mitigation of directive intentions and emotive de-intensification.…”
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  12. 232

    Two forecasting model selection methods based on time series image feature augmentation by Wentao Jiang, Quan Wang, Hongbo Li

    Published 2025-07-01
    “…Existing methods for forecasting agricultural product prices suffer from inefficient feature engineering and challenges in handling imbalanced sample data. …”
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    Article
  13. 233

    A two-stage recommendation optimization algorithm based on item popularity and user features by Jun Wang, Rongjie Hu

    Published 2024-10-01
    “…This article proposes a two-stage recommendation optimization algorithm based on item popularity and user features, named CPCF-TSP, that can make full use of the demographic characteristics of users and mitigate the problem of users being more inclined to choose “hot” financial products. …”
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  14. 234

    SFEF-Net: Scattering Feature Extraction and Fusion Network for Aircraft Detection in SAR Images by Qiang Zhou, Zongxu Pan, Ben Niu

    Published 2025-05-01
    “…However, this task presents significant challenges, including extracting discrete scattering features, mitigating interference from complex backgrounds, and handling potential label noise. …”
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    Enhanced Peer-to-Peer Botnet Detection Using Differential Evolution for Optimized Feature Selection by Sangita Baruah, Vaskar Deka, Dulumani Das, Utpal Barman, Manob Jyoti Saikia

    Published 2025-05-01
    “…This paper introduces an innovative strategy for mitigating botnet threats. Employing differential evolution, we propose a feature selection approach that enhances the ability to discern peer-to-peer (P2P) botnet traffic amidst evolving cyber threats. …”
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  18. 238

    A study of motor imagery EEG classification based on feature fusion and attentional mechanisms by Tingting Zhu, Hailin Tang, Lei Jiang, Yijia Li, Shijun Li, Shijun Li, Zhijian Wu, Zhijian Wu

    Published 2025-07-01
    “…This model integrates feature fusion and attention mechanisms to classify left hand, right hand, foot, and tongue movements. …”
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  19. 239

    Enhancing multiclass brain tumor diagnosis using SVM and innovative feature extraction techniques by Mustafa Basthikodi, M. Chaithrashree, B. M. Ahamed Shafeeq, Ananth Prabhu Gurpur

    Published 2024-10-01
    “…To enhance this, PCA was incorporated for dimensionality reduction, which improved the acc_val to 94.20%, demonstrating the effectiveness of reducing feature dimensionality in mitigating overfitting and enhancing model generalization. …”
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  20. 240

    Bi-temporal Gaussian feature dependency guided change detection in remote sensing images by Yi Xiao, Bin Luo, Jun Liu, Xin Su, Wei Wang

    Published 2025-08-01
    “…However, existing CD methods still struggle to mitigate pseudo-changes resulting from domain information differences in multi-temporal images and instances of detail errors caused by the loss and contamination of detail features during the upsampling process in the network. …”
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