يعرض 21 - 40 نتائج من 689 نتيجة بحث عن '(((( data using algorithm ) OR ( data scheduling algorithm ))) OR ( element ipca algorithm ))', وقت الاستعلام: 0.12s تنقيح النتائج
  1. 21

    Spider monkey optimizations: application review and results حسب Abualigah, Laith

    منشور في 2024
    "…Optimization algorithms are applied to find efficient solutions in different problems in several fields such as the routing in wireless networks, cloud computing, big data, image processing and scheduling, and so forth. …"
    احصل على النص الكامل
  2. 22

    Using Machine Learning Algorithms to Forecast Solar Energy Power Output حسب Ali Jassim Lari (22597940)

    منشور في 2025
    "…We focused on the first 30-min, 3-h, 6-h, 12-h, and 24-h windows to gain an appreciation of the impact of forecasting duration on the accuracy of prediction using the selected machine learning algorithms. The study results show that Random Forest outperformed all other tested algorithms. …"
  3. 23

    Limiting the Collection of Ground Truth Data for Land Use and Land Cover Maps with Machine Learning Algorithms حسب Usman Ali (6586886)

    منشور في 2022
    "…This was accomplished by (1) extracting reliable LULC information from Sentinel-2 and Landsat-8 s images, (2) generating remote sensing indices used to train ML algorithms, and (3) comparing the results with ground truth data. …"
  4. 24
  5. 25

    A neural networks algorithm for data path synthesis حسب Harmanani, Haidar M.

    منشور في 2003
    "…This paper presents a deterministic parallel algorithm to solve the data path allocation problem in high-level synthesis. …"
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
    article
  6. 26

    Data reductions and combinatorial bounds for improved approximation algorithms حسب Abu-Khzam, Faisal N.

    منشور في 2016
    "…Kernelization algorithms in the context of Parameterized Complexity are often based on a combination of data reduction rules and combinatorial insights. …"
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
    article
  7. 27
  8. 28
  9. 29
  10. 30

    Data of simulation model for photovoltaic system's maximum power point tracking using sequential Monte Carlo algorithm حسب Odat, Alhaj-Saleh A.

    منشور في 2024
    "…Additionally, these data can be readily applied to compare algorithmic results referenced by (Babu, T.S. et al., 2015; PrasanthRam, J. et al., 2017) [2,3], and contribute to the development of new processes for practical applications.…"
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
    article
  11. 31

    Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering حسب Abu Zitar, Raed

    منشور في 2022
    "…This paper proposes a new data clustering method using the advantages of metaheuristic (MH) optimization algorithms. …"
  12. 32
  13. 33
  14. 34

    Variable Selection in Data Analysis: A Synthetic Data Toolkit حسب Mitra, Rohan

    منشور في 2024
    "…Variable (feature) selection plays an important role in data analysis and mathematical modeling. This paper aims to address the significant lack of formal evaluation benchmarks for feature selection algorithms (FSAs). …"
    احصل على النص الكامل
    article
  15. 35
  16. 36

    A Hash-Based Assessment and Recovery Algorithm for Distributed Healthcare Systems Using Blockchain Technology حسب Jaber, Mohammad

    منشور في 2020
    "…Numerous damage assessment and recovery algorithms have been proposed in the literature. In this work, we present a distributed algorithm that uses blockchain technology and hash tables to solve the information warfare problem in healthcare systems. …"
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
    masterThesis
  17. 37
  18. 38

    Predicting Dropouts among a Homogeneous Population using a Data Mining Approach حسب BILQUISE, GHAZALA

    منشور في 2019
    "…Our research relies solely on pre-college and college performance data available in the institutional database. Our research reveals that the Gradient Boosted Trees is a robust algorithm that predicts dropouts with an accuracy of 79.31% and AUC of 88.4% using only pre-enrollment data. …"
    احصل على النص الكامل
  19. 39

    Methodology for Analyzing the Traditional Algorithms Performance of User Reviews Using Machine Learning Techniques حسب Abdul Karim (417009)

    منشور في 2020
    "…This conclusion was achieved after preprocessing a number of data values from these data sets.</p><h2>Other Information</h2><p dir="ltr">Published in: Algorithms<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/a13080202" target="_blank">https://dx.doi.org/10.3390/a13080202</a></p>…"
  20. 40