بدائل البحث:
training algorithms » learning algorithms (توسيع البحث)
encoding algorithm » cosine algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
based training » based learning (توسيع البحث)
يعرض 181 - 196 نتائج من 196 نتيجة بحث عن '(( elements method algorithm ) OR ((( data encoding algorithm ) OR ( based training algorithms ))))', وقت الاستعلام: 0.14s تنقيح النتائج
  1. 181

    Social Network Analysis for Precise Friend Suggestion for Twitter by Associating Multiple Networks Using ML حسب Dharmendra Kumar Singh Singh (19517710)

    منشور في 2022
    "…The information gathered to make these predictions includes the user’s friends, tags, tweets, language spoken, ID, etc. Based on these features, the authors trained their models using supervised learning methods. …"
  2. 182
  3. 183

    Fast Text Classification using Lean Gradient Descent Feed Forward Neural Network for Category Feature Augmentation حسب Attieh, Joseph

    منشور في 2024
    "…This is done by embedding the TF-ICF matrix in a one-layer feed-forward neural network. The latter is trained using the gradient descent algorithm allowing to iteratively update the term-category matrix until reaching convergence. …"
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  4. 184

    Soft Sensor for NOx Emission using Dynamical Neural Network حسب Shakil, M.

    منشور في 2020
    "…Neural network model is trained using real data logs of an industrial boiler. …"
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    article
  5. 185

    Diagnosing failed distribution transformers using neural networks حسب Farag, A.S.

    منشور في 2001
    "…The ANN was trained utilizing backpropagation algorithm using a real (out of the field) data obtained from utilities distribution networks transformer's failures. …"
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    article
  6. 186

    Predicting long-term type 2 diabetes with support vector machine using oral glucose tolerance test حسب Hasan T. Abbas (8115014)

    منشور في 2019
    "…Data generated from an oral glucose tolerance test (OGTT) was used to develop a predictive model based on the support vector machine (SVM). We trained and validated the models using the OGTT and demographic data of 1,492 healthy individuals collected during the San Antonio Heart Study. …"
  7. 187
  8. 188

    Lung cancer medical images classification using hybrid CNN-SVM حسب Abdulrazak Yahya Saleh (18520026)

    منشور في 2021
    "…This paper presents an image classification method based on the hybrid Convolutional Neural Network (CNN) algorithm and Support Vector Machine (SVM). …"
  9. 189

    Real-Time Smart-Digital Stethoscope System for Heart Diseases Monitoring حسب Muhammad E.H. Chowdhury (17151154)

    منشور في 2019
    "…Twenty-seven t-domain, f-domain, and Mel frequency cepstral coefficients (MFCC) features were used to train a public database to identify the best-performing algorithm for classifying abnormal and normal heart sound (HS). …"
  10. 190

    Design and implementation of a deep learning-empowered m-Health application حسب Akhan Akbulut (17380285)

    منشور في 2023
    "…Later, the web service classifies using the pre-trained model built based on a deep learning algorithm. …"
  11. 191
  12. 192

    Cohen syndrome and early-onset epileptic encephalopathy in male triplets: two disease-causing mutations in VPS13B and NAPB حسب Alice AbdelAleem (17753799)

    منشور في 2023
    "…Sanger sequencing verified the segregation of the two recessive gene variants with the phenotype in family members. The prediction algorithms support the pathogenicity of these variants. …"
  13. 193

    A hybrid model to predict the pressure gradient for the liquid-liquid flow in both horizontal and inclined pipes for unknown flow patterns حسب Md Ferdous Wahid (13485799)

    منشور في 2023
    "…The achieved MAPE using the proposed hybrid model is superior to existing mechanistic or correlation-based models reported in the literature (between 26 and 69%). …"
  14. 194
  15. 195

    Electric Vehicles Charging Station Load Forecasting Integration With Renewable Energy Using Novel Deep EfficientBiLSTMNet حسب Vineet Dhanawat (22361395)

    منشور في 2025
    "…The EfficientBiLSTMNet model, which integrates the EfficientNet and BiLSTM layers, is trained on the preprocessed datasets. The model’s hyperparameters are optimized using an Enhanced Firefly Algorithm (EFA). …"
  16. 196