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  1. 21
    AncDE with gaussian distribution for numerical optimization problem
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  2. 22
    Android skin cancer detection and classification based on MobileNet v2 model
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  3. 23
    Anomaly detection on flight route using similarity and grouping approach based-on automatic dependent surveillance-broadcast
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  4. 24
    Association Rule Algorithm Sequential Pattern Discovery using Equivalent Classes (SPADE) to Analyze the Genesis Pattern of Landslides in Indonesia
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  5. 25
    Automatic differentiation based for particle swarm optimization Steepest descent direction
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  6. 26
    Automatic Text Summarization Using Latent Drichlet Allocation (LDA) for Document Clustering
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  7. 27
    Biased support vector machine and weighted-smote in handling class imbalance problem
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  8. 28
    Bootstrap-based model selection in subset polynomial regression
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  9. 29
    Bottom-up visual attention model for still image: a preliminary study
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  10. 30
    Brainwaves feature classification by applying K-Means clustering using single-sensor EEG
    by Azhari, Ahmad, Hernandez, Leonel
    Published 2016
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  11. 31
    CAE-COVIDX: automatic covid-19 disease detection based on x-ray images using enhanced deep convolutional and autoencoder
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  12. 32
    Circular(2)-linear regression analysis with iteration order manipulation
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  13. 33
    Classification of wood defect images using local binary pattern variants
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  14. 34
    Classifying Barako coffee leaf diseases using deep convolutional models
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  15. 35
    Clustering stationary and non-stationary time series based on autocorrelation distance of hierarchical and k-means algorithms
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  16. 36
    Coloring picture fuzzy graphs through their cuts and its computation
    by Rosyida, Isnaini, Suryono, Suryono
    Published 2021
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  17. 37
    Comparative analysis of multiple target tracking methods
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  18. 38
    Comparing of ARIMA and RBFNN for short-term forecasting
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  19. 39
    Constraint-based discriminative dimension selection for high-dimensional stream clustering
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  20. 40
    Constructing decision rules from naive bayes model for robust and low complexity classification
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