يعرض 1 - 20 نتائج من 543 نتيجة بحث عن '(( experiments based algorithm ) OR ((( data code algorithm ) OR ( data models algorithm ))))', وقت الاستعلام: 0.15s تنقيح النتائج
  1. 1

    Development of an Optimization Algorithm for Internet Data Traffic حسب Misbahuddin, Syed

    منشور في 2020
    "…The algorithm monitors data repetitions in IP datagram and prepares a compression code in response of this repetition. …"
    احصل على النص الكامل
    article
  2. 2

    A Fast and Robust Gas Recognition Algorithm Based on Hybrid Convolutional and Recurrent Neural Network حسب Xiaofang Pan (1895950)

    منشور في 2019
    "…Moreover, various standard drift related experiments are conducted, of which the results validate our proposed algorithm's superior robustness for the wide range of real-life applications.…"
  3. 3
  4. 4

    UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data حسب Behrouz Ahadzadeh (19757022)

    منشور في 2024
    "…<p>Feature selection (FS) is a crucial technique in machine learning and data mining, serving a variety of purposes such as simplifying model construction, facilitating knowledge discovery, improving computational efficiency, and reducing memory consumption. …"
  5. 5
  6. 6

    Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms حسب Arafat Rahman (8065562)

    منشور في 2021
    "…We also developed a binary template matching-based algorithm, which gives 93.64% accuracy 6X faster. …"
  7. 7
  8. 8

    Practical single node failure recovery using fractional repetition codes in data centers حسب Itani, May

    منشور في 2016
    "…FR codes consist of a concatenation of an outer maximum distance separable (MDS) code and an inner fractional repetition code that splits the data into several blocks and stores multiple replicas of each on different nodes in the system. …"
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
    conferenceObject
  9. 9

    Efficient Approximate Conformance Checking Using Trie Data Structures حسب Awad, Ahmed

    منشور في 2021
    الموضوعات: "…Estimation error,Runtime,Computational modeling,Data structures,Approximation algorithms,Encoding,Computational efficiency…"
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
  10. 10
  11. 11

    A Genetic Algorithm for Improving Accuracy of Software Quality Predictive Models حسب Azar, Danielle

    منشور في 2010
    "…In this paper, we present a genetic algorithm that adapts such models to new data. We give empirical evidence illustrating that our approach out-beats the machine learning algorithm C4.5 and random guess.…"
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
    article
  12. 12
  13. 13
  14. 14

    A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT حسب Dhananjay Bisen (19482454)

    منشور في 2023
    "…This research proposed a hybrid model for energy-efficient cluster formation and a head selection (E-CFSA) algorithm based on convolutional neural networks (CNNs) and a modified k-mean clustering (MKM) method for MEC. …"
  15. 15

    Deep learning-based user experience evaluation in distance learning حسب Rahim Sadigov (17714301)

    منشور في 2023
    "…More than 160,000 tweets, addressing conditions related to the major change in the education system, were gathered from Twitter social network and deep learning-based sentiment analysis models and topic models based on latent dirichlet allocation (LDA) algorithm were developed and analyzed. …"
  16. 16

    Oversampling techniques for imbalanced data in regression حسب Samir Brahim Belhaouari (9427347)

    منشور في 2024
    "…For such high-dimension data our approach outperforms the Synthetic Minority Oversampling Technique for Regression (SMOTER) algorithm for the IMDB-WIKI and AgeDB image datasets. …"
  17. 17
  18. 18

    GenDE: A CRF-Based Data Extractor حسب Kayed, Mohammed

    منشور في 2020
    "…Moreover, the system solves the problem of automatic data extraction from modern JavaScript sites in which data/schema are attached (on the client side) in a JSON format. The experiments show an encouraging result as it outperforms the CSP-based extractor algorithm (95% and 96% of recall and precision, respectively). …"
    احصل على النص الكامل
    احصل على النص الكامل
  19. 19
  20. 20