Showing 3,501 - 3,520 results of 7,164 for search 'NET information', query time: 0.15s Refine Results
  1. 3501
  2. 3502
  3. 3503

    SG‐TE: Spatial Guidance and Temporal Enhancement Network for Facial‐Bodily Emotion Recognition by Zhong Huang, Danni Zhang, Fuji Ren, Min Hu, Juan Liu, Haitao Yu

    Published 2025-06-01
    “…Therefore, the proposed method, which adaptively fuses the complementary information of face and posture, improves the quality of emotion recognition in real‐world scenarios.…”
    Get full text
    Article
  4. 3504

    Analyzing the Structure Co- Word Approach of Published Articles in the Fild of Nizami Ganjavi by Nasrin Fallah, oranus tajedini, fatemeh Ilkhani farahabadi

    Published 2023-02-01
    “…To draw and analyze the co-occurrence network of words, "Ravar Matrix", "SPSS" and UCINET and Net Draw softwares are used, and the subjects are classified using the thematic clustering method. …”
    Get full text
    Article
  5. 3505

    GraphGIM: rethinking molecular graph contrastive learning via geometry image modeling by Chaoyi Li, Hongxin Xiang, Wenjie Du, Tengfei Ma, Haowen Chen, Xiangxiang Zeng, Lei Xu

    Published 2025-07-01
    “…Furthermore, we find that as the convolutional layers process the image becomes deeper, the information of feature maps gradually changes from global molecular-level information (molecular scaffolds) to local atomic-level information (molecular atoms and functional groups), which provides chemical information at different scales. …”
    Get full text
    Article
  6. 3506
  7. 3507

    MulGCN: MultiGraph Convolutional Network for Aspect-Level Sentiment Analysis by Huyen Trang Phan, Van Du Nguyen, Ngoc Thanh Nguyen

    Published 2025-01-01
    “…Unlike previous GCNs, the MulGCN model can simultaneously capture features related to three knowledge: syntax, semantics, and context by combining the dependency parser tree, affective information in SenticNet, and inter-aspect-aware technique. …”
    Get full text
    Article
  8. 3508
  9. 3509
  10. 3510
  11. 3511

    Research on Lightweight Algorithm Model for Precise Recognition and Detection of Outdoor Strawberries Based on Improved YOLOv5n by Xiaoman Cao, Peng Zhong, Yihao Huang, Mingtao Huang, Zhengyan Huang, Tianlong Zou, He Xing

    Published 2025-01-01
    “…The algorithm uses FasterNet to replace the original YOLOv5n backbone network and improves the detection rate. …”
    Get full text
    Article
  12. 3512

    Sem-SLAM: Semantic-Integrated SLAM Approach for 3D Reconstruction by Shuqi Liu, Yufeng Zhuang, Chenxu Zhang, Qifei Li, Jiayu Hou

    Published 2025-07-01
    “…Furthermore, a multi-layer perceptron and interpolation techniques are utilized to extract multi-scale features, distinguishing information at different scales. This enables the effective decoding of semantic, RGB, and Truncated Signed Distance Field (TSDF) values from the fused features, achieving high-quality information rendering. …”
    Get full text
    Article
  13. 3513
  14. 3514

    Efficient Multi-Stage Self-Supervised Learning for Pathology Image Analysis via Masking by Ming Feng, Weiquan Huang, Liang Hu

    Published 2025-01-01
    “…Our findings indicate that pathology images exhibit a high degree of information redundancy, making the direct application of these SSL categories inefficient and suboptimal. …”
    Get full text
    Article
  15. 3515
  16. 3516
  17. 3517

    Integration of Nuclear, Clinical, and Genetic Features for Lung Cancer Subtype Classification and Survival Prediction Based on Machine- and Deep-Learning Models by Bin Xie, Mingda Mo, Haidong Cui, Yijie Dong, Hongping Yin, Zhe Lu

    Published 2025-03-01
    “…<b>Methods:</b> Histopathological images, clinical data, and genetic information of lung adenocarcinoma and lung squamous cell carcinoma cases were downloaded from The Cancer Genome Atlas. …”
    Get full text
    Article
  18. 3518
  19. 3519

    A Remote Sensing Semantic Self-Supervised Segmentation Model Integrating Local Sensitivity and Global Invariance by Buxun Zhang, Xiaoyan Guo, Sen Yang

    Published 2025-01-01
    “…This framework combines the strengths of contrastive learning and masked image modeling, focusing on both global feature information invariant to augmentations and the rich internal detail of the images. …”
    Get full text
    Article
  20. 3520