Search alternatives:
encoding algorithm » cosine algorithm (Expand Search)
machine algorithm » cosine algorithm (Expand Search)
method algorithm » mould algorithm (Expand Search)
Showing 101 - 120 results of 360 for search '(( elements method algorithm ) OR ((( data encoding algorithm ) OR ( based machine algorithm ))))*', query time: 0.15s Refine Results
  1. 101
  2. 102
  3. 103
  4. 104
  5. 105

    Blood-Based Proteomic Profiling Identifies Potential Biomarker Candidates and Pathogenic Pathways in Dementia by Hanan Ehtewish (17149825)

    Published 2023
    “…We used a high-throughput proximity extension immunoassay to quantify 1090 proteins in 122 participants (22 with dementia, 64 with mild cognitive impairment (MCI), and 36 controls with normal cognitive function). Limma-based differential expression analysis reported the dysregulation of 61 proteins in the plasma of those with dementia compared with controls, and machine learning algorithms identified 17 stable diagnostic biomarkers that differentiated individuals with AUC = 0.98 ± 0.02. …”
  6. 106

    Novel Multi Center and Threshold Ternary Pattern Based Method for Disease Detection Method Using Voice by Turker Tuncer (16677966)

    Published 2020
    “…Our approach is a simple and efficient voice-based algorithm in which a multi-center and multi threshold based ternary pattern is used (MCMTTP). …”
  7. 107
  8. 108

    A machine learning approach for localization in cellular environments by Abdallah, Ali A.

    Published 2018
    “…A machine learning approach is developed for localization based on received signal strength (RSS) from cellular towers. …”
    Get full text
    Get full text
    Get full text
    Get full text
    conferenceObject
  9. 109

    LDSVM: Leukemia Cancer Classification Using Machine Learning by Abdul Karim (417009)

    Published 2022
    “…This study proposes a novel method using machine learning algorithms based on microarrays of leukemia GSE9476 cells. …”
  10. 110

    Using machine learning to support students’ academic decisions by ALLAH, AISHA QASIM GHAZAL FATEH

    Published 2019
    “…This research tests and compares the performance of Decision Trees, Random Forests, Gradient-Boosted trees, and Deep Learning machine learning regression algorithms to predict student GPA. …”
    Get full text
  11. 111
  12. 112

    Artificial intelligence based anomaly detection of energy consumption in buildings: A review, current trends and new perspectives by Yassine Himeur (14158821)

    Published 2021
    “…In this regard, this paper is an in-depth review of existing anomaly detection frameworks for building energy consumption based on artificial intelligence. Specifically, an extensive survey is presented, in which a comprehensive taxonomy is introduced to classify existing algorithms based on different modules and parameters adopted, such as machine learning algorithms, feature extraction approaches, anomaly detection levels, computing platforms and application scenarios. …”
  13. 113

    A kernelization algorithm for d-Hitting Set by Abu-Khzam, Faisal N.

    Published 2010
    “…For 3-Hitting Set, an arbitrary instance is reduced into an equivalent one that contains at most 5k2+k elements. This kernelization is an improvement over previously known methods that guarantee cubic-order kernels. …”
    Get full text
    Get full text
    Get full text
    article
  14. 114
  15. 115

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

    Published 2023
    “…In parallel, we discuss the impact of the pandemic on education and how users’ emotions altered due to the catastrophic changes allied to the education system based on the proposed machine learning-based models.…”
  16. 116
  17. 117
  18. 118
  19. 119

    Dynamic performance evaluation and machine learning-assisted optimization of a solar-driven system integrated with PCM-based thermal energy storage: A case study approach by Haitham Osman (11737057)

    Published 2025
    “…A comprehensive techno-economic analysis is conducted, supported by a machine learning-assisted optimization framework that combines artificial neural networks with genetic algorithms. …”
  20. 120

    Tabu Search For A Class Of Single-Machine Scheduling Problems by Al-Turki, Umar

    Published 2020
    “…In this paper we develop a tabu search-based solution procedure designed specifically for a certain class of single-machine scheduling problems with a non-regular performance measure. …”
    Get full text
    article