Search alternatives:
emotion classification » functional classification (Expand Search), sentiment classification (Expand Search)
based emotion » based motion (Expand Search), based adoption (Expand Search), based action (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
binary b » binary _ (Expand Search)
b swarm » _ swarm (Expand Search)
Showing 1 - 6 results of 6 for search '(( binary based emotion classification algorithm ) OR ( binary b swarm optimization algorithm ))', query time: 0.29s Refine Results
  1. 1
    Table_1_bSRWPSO-FKNN: A boosted PSO with fuzzy K-nearest neighbor classifier for predicting atopic dermatitis disease.docx

    Table_1_bSRWPSO-FKNN: A boosted PSO with fuzzy K-nearest neighbor classifier for predicting atopic dermatitis disease.docx by Yupeng Li (507508)

    Published 2023
    “…</p>Methods<p>This paper establishes a medical prediction model for the first time on the basis of the enhanced particle swarm optimization (SRWPSO) algorithm and the fuzzy K-nearest neighbor (FKNN), called bSRWPSO-FKNN, which is practiced on a dataset related to patients with AD. …”
    Save to List
    Saved in:
  2. 2
    Fig 3 -

    Fig 3 - by Ali Ahmed (2567584)

    Published 2020
    Save to List
    Saved in:
  3. 3
    Solubility Prediction of Different Forms of Pharmaceuticals in Single and Mixed Solvents Using Symmetric Electrolyte Nonrandom Two-Liquid Segment Activity Coefficient Model

    Solubility Prediction of Different Forms of Pharmaceuticals in Single and Mixed Solvents Using Symmetric Electrolyte Nonrandom Two-Liquid Segment Activity Coefficient Model by Getachew S. Molla (6416744)

    Published 2019
    Save to List
    Saved in:
  4. 4
    Table_1_Machine learning models identify micronutrient intake as predictors of undiagnosed hypertension among rural community-dwelling older adults in Thailand: a cross-sectional study.XLSX

    Table_1_Machine learning models identify micronutrient intake as predictors of undiagnosed hypertension among rural community-dwelling older adults in Thailand: a cross-sectional s... by Niruwan Turnbull (11506910)

    Published 2024
    “…Objective<p>To develop a predictive model for undiagnosed hypertension (UHTN) in older adults based on five modifiable factors [eating behaviors, emotion, exercise, stopping smoking, and stopping drinking alcohol (3E2S) using machine learning (ML) algorithms.…”
    Save to List
    Saved in:
  5. 5
    Table_2_Machine learning models identify micronutrient intake as predictors of undiagnosed hypertension among rural community-dwelling older adults in Thailand: a cross-sectional study.DOCX

    Table_2_Machine learning models identify micronutrient intake as predictors of undiagnosed hypertension among rural community-dwelling older adults in Thailand: a cross-sectional s... by Niruwan Turnbull (11506910)

    Published 2024
    “…Objective<p>To develop a predictive model for undiagnosed hypertension (UHTN) in older adults based on five modifiable factors [eating behaviors, emotion, exercise, stopping smoking, and stopping drinking alcohol (3E2S) using machine learning (ML) algorithms.…”
    Save to List
    Saved in:
  6. 6
    Data_Sheet_1_Machine learning models identify micronutrient intake as predictors of undiagnosed hypertension among rural community-dwelling older adults in Thailand: a cross-sectional study.PDF

    Data_Sheet_1_Machine learning models identify micronutrient intake as predictors of undiagnosed hypertension among rural community-dwelling older adults in Thailand: a cross-sectio... by Niruwan Turnbull (11506910)

    Published 2024
    “…Objective<p>To develop a predictive model for undiagnosed hypertension (UHTN) in older adults based on five modifiable factors [eating behaviors, emotion, exercise, stopping smoking, and stopping drinking alcohol (3E2S) using machine learning (ML) algorithms.…”
    Save to List
    Saved in:

Search Tools: