Suggested Topics within your search.
Showing 141 - 160 results of 5,778 for search 'computational variations', query time: 0.15s Refine Results
  1. 141
  2. 142
  3. 143
  4. 144
  5. 145

    Piezoelectric neuron for neuromorphic computing by Wenjie Li, Shan Tan, Zhen Fan, Zhiwei Chen, Jiali Ou, Kun Liu, Ruiqiang Tao, Guo Tian, Minghui Qin, Min Zeng, Xubing Lu, Guofu Zhou, Xingsen Gao, Jun-Ming Liu

    Published 2025-09-01
    “…Neuromorphic computing has attracted great attention for its massive parallelism and high energy efficiency. …”
    Get full text
    Article
  6. 146
  7. 147
  8. 148

    Research on the Application of Variational Autoencoder in Image Generation by Liu Jianing

    Published 2025-01-01
    “…This paper concentrates on applying Variational Autoencoders (VAEs) to image generation, a topic of increasing importance due to the model’s theoretical interpretability and stability. …”
    Get full text
    Article
  9. 149
  10. 150
  11. 151
  12. 152
  13. 153
  14. 154
  15. 155
  16. 156

    Meta-learning approach for variational autoencoder hyperparameter tuning by Michele Berti, Matheus Camilo da Silva, Sebastiano Saccani, Sylvio Barbon Junior

    Published 2025-06-01
    “…Synthetic data generation is a promising alternative to traditional data anonymization, with Variational Autoencoders (VAEs) excelling at generating high-quality synthetic tabular datasets. …”
    Get full text
    Article
  17. 157
  18. 158

    A Clustering Algorithm for Large Datasets Based on Detection of Density Variations by Adrián Josué Ramírez-Díaz, José Francisco Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa

    Published 2025-07-01
    “…Within each partition, relevant objects subsets characterized by attributes such as density, position, and overlap ratio are computed to identify both low-density regions and density variations, thereby facilitating the building of the clusters. …”
    Get full text
    Article
  19. 159
  20. 160

    Online variational Gaussian process for time series data by Weidong Wang, Mian Muhammad Yasir Khalil, Leta Yobsan Bayisa

    Published 2024-12-01
    “…However, traditional GP methods are often hindered by cubic computational complexity, making them impractical for the massive and potentially unbounded datasets commonly encountered in IoT applications. …”
    Get full text
    Article