Showing 901 - 920 results of 1,554 for search 'features interference', query time: 0.09s Refine Results
  1. 901

    Restoration of Turbid Underwater Images of Cobalt Crusts Using Combined Homomorphic Filtering and a Polarization Imaging System by Enzu Peng, Chengyi Liu, Haiming Zhao

    Published 2025-02-01
    “…Traditional image processing techniques—including spatial and frequency domain methods—are ineffective in addressing the interference caused by suspended particles and offer only limited enhancement effects. …”
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    Article
  2. 902

    Two-Point Resolution of a Defocused Imaging System Based on Spatially Coherent Illumination by Gianlorenzo Massaro, Sergio de Gioia, Adalberto Brunetti, Francesco V. Pepe, Milena D’Angelo

    Published 2024-12-01
    “…By comparing coherent and incoherent illumination regimes, in defocused conditions, we highlight the peculiar advantages of coherent systems in resolving closely spaced features while maintaining a high depth of field. The analysis identifies two primary contributions to image degradation in coherent defocused systems: image broadening and interference-related contrast reduction. …”
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  3. 903

    Analysis of Air Quality during the COVID-19 Pandemic Lockdown in Naples (Italy) by Alessia Sannino, Mariagrazia D’Emilio, Pasquale Castellano, Salvatore Amoruso, Antonella Boselli

    Published 2020-10-01
    “…Nevertheless, characterization of atmospheric aerosol columnar properties suggests an interesting variation of its composition. The observed features have been associated to the strong meteorological interference from Saharan Dust in the Mediterranean area also affecting the city of Naples.…”
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  4. 904

    Super-Resolution Image Optimisation Based on Gradient Iterative Fast Diffraction-Free Spot Algorithm by Chen Yu, Ying Liu, Linhan Li, Guangpeng Zhou, Boshi Dang, Jie Du, Junlin Ma, Site Zhang

    Published 2025-05-01
    “…This algorithm is capable of rapidly removing the interference spots resulting from diffraction and restoring the distorted laser spots. …”
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    Article
  5. 905

    Adaptive Global Dense Nested Reasoning Network into Small Target Detection in Large-Scale Hyperspectral Remote Sensing Image by Siyu Zhan, Yuxuan Yang, Muge Zhong, Guoming Lu, Xinyu Zhou

    Published 2025-03-01
    “…Firstly, we develop a high-dimensional, multi-layer nested U-Net that facilitates cross-layer feature transfer, preserving high-level features of small and dim targets throughout the network. …”
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    Article
  6. 906

    GP-DGECN: Geometric Prior Dynamic Group Equivariant Convolutional Networks for Specific Emitter Identification by Yu Han, Xiang Chen, Manxi Wang, Long Shi, Zhongming Feng

    Published 2024-01-01
    “…By fully extracting intrinsic signal features, it enhances resistance to high noise and channel effects. …”
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    Article
  7. 907

    Broadband optical mode switch with ultra-fast switching speed and high extinction ratio on lithium niobate on insulator platform by Ruoyu Shen, Bingzhou Hong, Fangchen Hu, Xin Wang, Shaobo Fang, Haiwen Cai, Wei Chu

    Published 2025-05-01
    “…Furthermore, it features a low VπL (<1.95 V cm), high extinction ratio (>24 dB), low insertion loss (<3.0 dB), and low crosstalk (<15 dB) across the 100 nm wavelength range, by employing a well-engineered push–pull electrode design and high-precision LNOI structure fabrication methods. …”
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    Article
  8. 908

    Rolling bearing fault diagnosis under small sample conditions based on WDCNN-BiLSTM Siamese network by Chenxu Bian, Chunni Jia, Jibo Li, Xiangjun Chen, Pei Wang

    Published 2025-08-01
    “…This model constructs a feature extraction system that combines WDCNN and BiLSTM to extract local spatial features and global temporal dependencies from vibration signals. …”
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    Article
  9. 909

    Deep learning-based object detection and robotic arm grasping by ZHANG Lei, ZHANG Senhui, YAN Song, YUAN Yuan

    Published 2024-08-01
    “…Firstly, considering the interference present in unstructured environments, RGB-D images were selected as the input data for the grasping network, and GG-CNN was chosen as the backbone network. …”
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    Article
  10. 910

    Research on UAV Jamming Signal Generation Based on Intelligent Jamming by Haonan Xue, Zhihai Zhuo, Weihao Yan, Yuexia Zhang

    Published 2025-01-01
    “…The model leverages advanced convolutional networks to integrate the real and imaginary components of the signal for feature extraction, while the residual modules further refine signal processing and enhance feature learning. …”
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    Article
  11. 911

    TCAINet an RGB T salient object detection model with cross modal fusion and adaptive decoding by Hong Peng, Yunfei Hu, Baocai Yu, Zhen Zhang

    Published 2025-04-01
    “…Although some feature decoding strategies attempt to mitigate noise interference, they often struggle in high-noise environments and lack flexible feature weighting, further restricting fusion capabilities. …”
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    Article
  12. 912

    Formation of Lunar Swirls: Implication from Derived Nanophase Iron Abundance by Wanqi Zhao, Xin Ren, Bin Liu, Yao Xiao, Dawei Liu

    Published 2025-04-01
    “…Lunar swirls are enigmatic features on the Moon’s surface, and their formation remains debated. …”
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    Article
  13. 913

    DFPF-Net: Dynamically Focused Progressive Fusion Network for Remote Sensing Change Detection by Chengming Wang, Peng Duan, Jinjiang Li

    Published 2025-01-01
    “…However, CNN still exhibit limitations in local feature extraction when confronted with pseudochanges caused by different object types across global scales. …”
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    Article
  14. 914

    Few-Shot Incremental Learning With Context-Aware Spatial Enhancement for Image Recognition by Heng Wu, Ze Yang, Zijun Zheng, Haiyang Wang, Wansong Wang

    Published 2025-01-01
    “…This comprehensive design not only reduces background interference and highlights salient features but also improves generalization and stability in few-shot learning scenarios. …”
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    Article
  15. 915

    MRP-YOLO: An Improved YOLOv8 Algorithm for Steel Surface Defects by Shuxian Zhu, Yajie Zhou

    Published 2024-12-01
    “…Firstly, the global background and edge information are adaptively extracted via the MSA-SPPF module in order to obtain a more comprehensive feature representation. Furthermore, the anti-interference ability of the model is enhanced through the deformability of attention and the large convolution kernel characteristics. …”
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    Article
  16. 916

    Towards 6G V2X Sidelink: Survey of Resource Allocation&#x2014;Mathematical Formulations, Challenges, and Proposed Solutions by Annu, P. Rajalakshmi

    Published 2024-01-01
    “…Encompassing direct communication, collision issues, spectrum compliance, resource fairness, uncertainty, and interference management, the survey comprehensively explores challenges and solutions in current sidelink resource allocation. …”
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    Article
  17. 917

    Natural fabric wearable high isolation fractal MIMO antenna for wireless communication and 5G uses by Nairaj Jat, Arun Kumar, Manisha Gupta, Aziz Nanthaamornphong

    Published 2025-04-01
    “…This paper presents a multi-band, natural fabric-based MIMO antenna featuring a Lorentz-shaped fractal structure with elliptical radiating elements. …”
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  18. 918

    Study on a Receiver Circuit for Simultaneous Lightwave Information and Power Transfer by TU Junxuan, FAN Tingbing, NI Huilin, ZHUANG Jizhou, CAO Guoyang, WU Shaolong, LI Xiaofeng

    Published 2025-04-01
    “…【Conclusion】The receiving circuit can operate without an external power supply and features maximum power point tracking, low power consumption, and adjustable operating modes.…”
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    Article
  19. 919

    A Network Traffic Characteristics Reconstruction Method for Mitigating the Impact of Packet Loss in Edge Computing Scenarios by Jiawei Ye, Yanting Chen, Aierpanjiang Simayi, Yu Liu, Zhihui Lu, Jie Wu

    Published 2025-05-01
    “…To address this issue, TCReC leverages masked autoencoder techniques to reconstruct missing traffic features, ensuring reliable input for downstream tasks in edge computing scenarios. …”
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  20. 920

    Segmentation detection method in tree-shaded environment for road cracks collected by inspection vehicle on WFU-Unet by Qiong Zhang, Shilin Huang, Haomiao Wang, Zhonghang Ji, Shuang Zheng, Yunqing Liu

    Published 2025-04-01
    “…First, the WCM module, constructed with wavelet transform, ConvNext, and MobileNet, reduces shadow interference, enabling the network to distinguish between cracks and tree shadows. …”
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