Showing 261 - 280 results of 38,095 for search 'WNET~', query time: 3.14s Refine Results
  1. 261

    Improved Convolutional Neural Image Recognition Algorithm based on LeNet-5 by Lijie Zhou, Weihai Yu

    Published 2022-01-01
    “…Through experiments, it is found that adding LBP image information to improved convolutional neural network of LeNet-5 can improve accuracy of face recognition to 99.8%, which has important theoretical and practical significance.…”
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    Article
  2. 262

    Stroke Lesion Prediction by Bille-Viper-Segmentation with Tandem-MU-net Model by Beevi Fathima, N Santhi Dr, N Ramasamy Dr

    Published 2025-03-01
    “…To solve these issues, Bille-Viper-Segmentation with the Tandem-MU-Net Model is suggested as a solution for tissue damage detection problems. …”
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    Article
  3. 263

    Temporal integration of ResNet features with LSTM for enhanced skin lesion classification by Sasmita Padhy, Sachikanta Dash, Naween Kumar, Shailendra Pratap Singh, Gyanendra Kumar, Poonam Moral

    Published 2025-03-01
    “…This research combines ResNet-50 for spatial feature extraction with Long Short-Term Memory (LSTM) networks for temporal analysis and introduces an innovative hybrid deep learning model, Residual network-Long Short-Term Memory (R-LSTM50). …”
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  4. 264
  5. 265

    Model Identification of Unobservable Behavior of Discrete Event Systems Using Petri Nets by Guanghui Zhu, Ya Wang, Yajie Wang

    Published 2019-01-01
    “…We assume that a partial Petri net model that represents the observable behavior of a system is given in which all the transitions are observable. …”
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    Article
  6. 266

    Exploring the effect of gestational diabetes mellitus on retinal vascular morphology by PKSEA-Net by Ligang Jiang, Yimei Ji, Mengting Liu, Ruolin Fang, Zhentao Zhu, Meizhen Zhang, Yuhua Tong

    Published 2025-01-01
    “…However, no significant difference of retinal vascular parameters was shown between normal pregnant women and normal non-pregnant women. PKSEA-Net can assist to identify changes in retinal vascular morphology and diagnose micro-vascular lesion early in normal pregnant women and high-risk groups of GDM.…”
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  7. 267

    On Dynamical Net-Charge Fluctuations within a Hadron Resonance Gas Approach by Abdel Nasser Tawfik, L. I. Abou-Salem, Asmaa G. Shalaby, M. Hanafy

    Published 2016-01-01
    “…The dynamical net-charge fluctuations (νdyn) in different particle ratios K/π, K/p, and p/π are calculated from the hadron resonance gas (HRG) model and compared with STAR central Au+Au collisions at sNN=7.7–200 GeV and NA49 central Pb+Pb collisions at sNN=6.3–17.3 GeV. …”
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  8. 268

    Visual Control System of a Spraying Robot for Hyphantria cunea Larva Nets by Ying Zhao, Qun Sun, Chong Wang, Cuihua Zhang

    Published 2015-01-01
    “…In order to implement automatic spraying on Hyphantria cunea larva nets, a spraying robot system with monocular hand-eye coordination and smart targeting abilities was designed according to the target net features. …”
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    Article
  9. 269

    CenterNet-Elite: A Small Object Detection Model for Driving Scenario by Lingling Wang, Xiang Li, Xiaoyan Chen, Bin Zhou

    Published 2025-01-01
    “…In this context, this study proposes a new model, CenterNet-Elite, to overcome these challenges. …”
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    Article
  10. 270

    Using Coloured Petri Nets for Evaluating the Power Consumption of Wireless Sensor Networks by Antônio Dâmaso, Nelson Rosa, Paulo Maciel

    Published 2014-06-01
    “…In order to assess our power consumption models, we carried out an experimental evaluation that compares the results obtained by simulation against ones existing in the literature.…”
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  13. 273

    Wnt/β-catenin signalling underpins juvenile Fasciola hepatica growth and development. by Rebecca Armstrong, Nikki J Marks, Timothy G Geary, John Harrington, Paul M Selzer, Aaron G Maule

    Published 2025-02-01
    “…Here, we identify five putative Wnt ligands and five Frizzled receptors in liver fluke transcriptomic datasets and find that Wnt/β-catenin signalling is most active in juveniles, the most pathogenic life stage. …”
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  16. 276

    Infrared Thermal Image Gender Classifier Based on the Deep ResNet Model by Alyaa J. Jalil, Naglaa M. Reda

    Published 2022-01-01
    “…It proposes a unique approach called IRT_ResNet that adopts residual network (ResNet) model with different layer configurations: 18, 50, and 101. …”
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  17. 277

    Influences of Ultrafine Slag Slurry Prepared by Wet Ball Milling on the Properties of Concrete by Yubo Li, Shaobin Dai, Xingyang He, Ying Su

    Published 2018-01-01
    “…The ultrafine slag slurry (UFSS) was obtained by the process of grinding the original slag in a wet ball mill, which was mixed in concrete directly. …”
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  18. 278

    Banded Net-Winged Beetle, Calopteron discrepans (Newman) (Insecta: Coleoptera: Lycidae) by Donald W. Hall, Marc A. Branham

    Published 2007-11-01
    “…EENY-413/IN749: Banded Net-Winged Beetle, Calopteron discrepans (Newman) (Insecta: Coleoptera: Lycidae) (ufl.edu) …”
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  19. 279
  20. 280

    HRDA-Net: image multiple manipulation detection and location algorithm in real scene by Ye ZHU, Yilin YU, Yingchun GUO

    Published 2022-01-01
    “…Aiming at the problems that the fake image just contains one tampered operation in mainstream manipulation datasets and the artifact is a common problem in manipulation location.The multiple manipulation dataset (MM Dataset) was constructed for real scene, which contained both splicing and removal in each images.Based on this, an end-to-end high-resolution representation dilation attention network (HRDA-Net) was proposed for multiple manipulation detection and localization, which fused the RGB and SRM features through the top-down dilation convolutional attention (TDDCA).Finally, the mixed dilated convolution (MDC) would respectively extract the features of splicing and removal, which could realize multiple manipulation location and confidence prediction.The cosine similarity loss was proposed as auxiliary loss to improve the efficiency of network.Experimental results on MM Dataset indicate that the performance and robustness of HRDA-Net is better than semantic segmentation methods.Furthermore, the scores of F1 and AUC are greater than state-of-the-art manipulation location methods in CASIA and NIST datasets.…”
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