يعرض 61 - 80 نتائج من 329 نتيجة بحث عن '(((( data fusion algorithm ) OR ( data processing algorithm ))) OR ( elements data algorithm ))', وقت الاستعلام: 0.14s تنقيح النتائج
  1. 61

    Optimum Track to Track Fusion Using CMA-ES and LSTM Techniques حسب Fares, Samar

    منشور في 2024
    "…The first method uses an offline technique based on a global optimizer called the CMA-ES algorithm and the second one uses LSTM in its different forms to learn the online adjustment of the fusion weights between the two tracks. …"
    احصل على النص الكامل
  2. 62
  3. 63

    Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval حسب Mohammed Tahar Habib Kaib (21633176)

    منشور في 2024
    "…Unfortunately, PCA’s reliability drops when data has nonlinear characteristics as industrial processes. …"
  4. 64
  5. 65
  6. 66
  7. 67
  8. 68

    Multi Self-Organizing Map (SOM) Pipeline Architecture for Multi-View Clustering حسب Saadia Jamil (22045946)

    منشور في 2024
    "…A self-organizing map is one of the well-known unsupervised neural network algorithms used for preserving typologies during mapping from the input space (high-dimensional) to the display (low-dimensional).An algorithm called Local Adaptive Receptive Field Dimension Selective Self-Organizing Map 2 is a modified form of a self-organizing Map to cater different data types in the dataset. …"
  9. 69
  10. 70
  11. 71

    CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children حسب Jayakanth, Kunhoth

    منشور في 2023
    "…The feature fusion approach substantially improved the classification accuracy, with the SVM trained on fused features from the task specific-data achieving an accuracy of 97.3%. …"
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
    article
  12. 72

    CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children حسب Jayakanth Kunhoth (14158908)

    منشور في 2023
    "…The feature fusion approach substantially improved the classification accuracy, with the SVM trained on fused features from the task specific-data achieving an accuracy of 97.3%. …"
  13. 73

    Decision-level fusion for single-view gait recognition with various carrying and clothing conditions حسب Al-Tayyan, Amer

    منشور في 2017
    "…Such a system is needed in access control applications whereby a single view is imposed by the system setup. The gait data is firstly processed using three gait representation methods as the features sources; Accumulated Prediction Image (API) and two new gait representations namely; Accumulated Flow Image (AFI) and Edge-Masked Active Energy Image (EMAEI). …"
    احصل على النص الكامل
    article
  14. 74
  15. 75
  16. 76

    Machine learning based approaches for intelligent adaptation and prediction in banking business processes. (c2018) حسب Tay, Bilal M.

    منشور في 2018
    "…Companies, nowadays, rely on systems and applications to automate their business processes and data management. In this context, the notion of integrating machine learning techniques in banking business processes has emerged, where trainable computational algorithms can be improved by learning. …"
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
    masterThesis
  17. 77

    Multimodal feature fusion and ensemble learning for non-intrusive occupancy monitoring using smart meters حسب Sakib Mahmud (15302404)

    منشور في 2025
    "…In this study, we introduce the multimodal feature fusion for non-intrusive occupancy monitoring (MMF-NIOM) framework, which leverages both classical and deep machine learning algorithms to achieve state-of-the-art occupancy detection performance using smart meter data. …"
  18. 78

    Topics in graph algorithms حسب Abu-Khzam, Faisal Nabih

    منشور في 2003
    "…This is achieved by implementing some algorithms for the vertex cover problem, and conducting experiments on real data sets. …"
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
    masterThesis
  19. 79
  20. 80