Skip to main content

previous disabled Page of 29
and
  1. No Access

    Article

    Research on variational optical flow method for rockfall monitoring

    Rockfall is a global mountain disaster problem, which has the characteristics of wide distribution, strong randomness, and inconspicuousness. The contacted monitoring method is difficult to deploy. Simultaneou...

    Hui Chen, Lu Zhang, Ying Zhang, Juan Liu in Signal, Image and Video Processing (2024)

  2. Article

    Open Access

    Intelligent detection method of microparticle virus in silkworm based on YOLOv8 improved algorithm

    The presence of microparticle viruses significantly impacts the quality of silkworm seeds for domestic sericulture, making their exclusion from detection in silkworm seed production crucial. Traditional method...

    Yinguang Zhang, Jianhuan Su, Teng Wang, Chuan Xu, Ao Yu in The Journal of Supercomputing (2024)

  3. Article

    Retraction Note: Periodic multimedia spectrum sensing method based on high-order anti-jamming mechanism in cognitive wireless networks

    Yanli Ji, Weidong Wang, Yinghai Zhang in Multimedia Tools and Applications (2024)

  4. No Access

    Article

    JoCaD: a joint training method by combining consistency and diversity

    Noisy labels due to mistakes in manual labeling or data collecting are challenging for the expansion of deep neural network applications. Current robust network learning methods such as Decoupling, Co-teaching...

    Heyan Yang, Hui Yin, Zhengze Yang, Yingjun Zhang in Multimedia Tools and Applications (2024)

  5. No Access

    Article

    A robust feature matching algorithm based on adaptive feature fusion combined with image superresolution reconstruction

    With the development of image feature matching technology, feature matching algorithms based on deep learning have achieved excellent results, but in scenarios with low texture or extreme perspective changes, ...

    Wenjun Huangfu, Cui Ni, Peng Wang, Yingying Zhang in Applied Intelligence (2024)

  6. No Access

    Article

    TransFGVC: transformer-based fine-grained visual classification

    Fine-grained visual classification (FGVC) aims to identify subcategories of objects within the same superclass. This task is challenging owing to high intra-class variance and low inter-class variance. The mos...

    Longfeng Shen, Bin Hou, Yulei Jian, **song Tu, Yingjie Zhang in The Visual Computer (2024)

  7. No Access

    Article

    An improved SMOTE based on center offset factor and synthesis strategy for imbalanced data classification

    It is an enormous challenge for imbalanced data learning in the field of machine learning. To construct balanced datasets, oversampling techniques have been studied extensively. However, many oversampling meth...

    Ying Zhang, Li Deng, Hefeng Huang, Bo Wei in The Journal of Supercomputing (2024)

  8. No Access

    Article

    An Empirical Study on Google Research Football Multi-agent Scenarios

    Few multi-agent reinforcement learning (MARL) researches on Google research football (GRF) focus on the 11-vs-11 multi-agent full-game scenario and to the best of our knowledge, no open benchmark on this scena...

    Yan Song, He Jiang, Zheng Tian, Haifeng Zhang in Machine Intelligence Research (2024)

  9. No Access

    Article

    CLIP-guided Prototype Modulating for Few-shot Action Recognition

    Learning from large-scale contrastive language-image pre-training like CLIP has shown remarkable success in a wide range of downstream tasks recently, but it is still under-explored on the challenging few-shot...

    **ang Wang, Shiwei Zhang, Jun Cen, Changxin Gao in International Journal of Computer Vision (2024)

  10. No Access

    Article

    Multi-representation web service recommendation system based on attention mechanism

    Recently, mashup developers seek to integrate multiple services with complementary functionalities from a large amount of web services. With so many available web services, it is difficult for developers to ch...

    Depeng Dang, Bilin Guo, Tingting Fang, Ying Zhang in Knowledge and Information Systems (2024)

  11. No Access

    Article

    Extracting problem and method sentence from scientific papers: a context-enhanced transformer using formulaic expression desensitization

    Billions of scientific papers lead to the need to identify essential parts from the massive text. Scientific research is an activity from putting forward problems to using methods. To learn the main idea from ...

    Yingyi Zhang, Chengzhi Zhang in Scientometrics (2024)

  12. Article

    Open Access

    Automatic grid topology detection method based on Lasso algorithm and t-SNE algorithm

    For a long time, the low-voltage distribution network has the problems of untimely management and complex and frequently changing lines, which makes the problem of missing grid topology information increasingl...

    Sheng Huang, Huakun Que, Yingnan Zhang, Tenglong **e, Jie Peng in Energy Informatics (2024)

  13. No Access

    Article

    Efficient algorithms for reachability and path queries on temporal bipartite graphs

    Bipartite graphs are naturally used to model relationships between two types of entities, such as people-location, user-post, and investor-stock. When modeling real-world applications like disease outbreaks, e...

    Kai Wang, Minghao Cai, **aoshuang Chen, Xuemin Lin, Wenjie Zhang in The VLDB Journal (2024)

  14. Article

    Open Access

    Short-term multi-step-ahead sector-based traffic flow prediction based on the attention-enhanced graph convolutional LSTM network (AGC-LSTM)

    Accurate sector-based air traffic flow predictions are essential for ensuring the safety and efficiency of the air traffic management (ATM) system. However, due to the inherent spatial and temporal dependencie...

    Ying Zhang, Shimin Xu, Linghui Zhang, Weiwei Jiang in Neural Computing and Applications (2024)

  15. No Access

    Article

    Label-constrained shortest path query processing on road networks

    Computing the shortest path between two vertices is a fundamental problem in road networks. Most of the existing works assume that the edges in the road networks have no labels, but in many real applications, ...

    Junhua Zhang, Long Yuan, Wentao Li, Lu Qin, Ying Zhang, Wenjie Zhang in The VLDB Journal (2024)

  16. No Access

    Article

    A lightweight early forest fire and smoke detection method

    Forest fire is natural disasters that are sudden, destructive and difficult to handle and rescue, with millions of hectares of forests burned every year all over the world, causing serious ecological damage, l...

    Yinsheng Chen, Jiahao Li, Kun Sun, Ying Zhang in The Journal of Supercomputing (2024)

  17. No Access

    Article

    Robust topology optimization with interval field model: on the spatially varied non-probabilistic uncertainty of material property, loading and geometry

    In this work, we introduce the non-probabilistic uncertainties of spatial variation into the topology optimization problem. We investigate the material properties, geometry and loading uncertainties. A recentl...

    Yi Wu, Han Hu, **g Zheng, Yining Zhang, Eric Li, Z. C. He in Engineering with Computers (2024)

  18. Article

    Open Access

    Multi-scale feature flow alignment fusion with Transformer for the microscopic images segmentation of activated sludge

    Accurate microscopic images segmentation of activated sludge is essential for monitoring wastewater treatment processes. However, it is a challenging task due to poor contrast, artifacts, morphological similar...

    Lijie Zhao, Yingying Zhang, Guogang Wang in Signal, Image and Video Processing (2024)

  19. Article

    Open Access

    GraphSAGE++: Weighted Multi-scale GNN for Graph Representation Learning

    Graph neural networks (GNNs) have emerged as a powerful tool in graph representation learning. However, they are increasingly challenged by over-smoothing as network depth grows, compromising their ability to ...

    E. Jiawei, Yinglong Zhang, Shangying Yang, Hong Wang in Neural Processing Letters (2024)

  20. No Access

    Article

    Identification of human microRNA-disease association via low-rank approximation-based link propagation and multiple kernel learning

    Numerous studies have demonstrated that human microRNAs (miRNAs) and diseases are associated and studies on the microRNA-disease association (MDA) have been conducted. We developed a model using a low-rank app...

    Yizheng Wang, **n Zhang, Ying Ju, Qing Liu, Quan Zou in Frontiers of Computer Science (2024)

previous disabled Page of 29