Works matching AU Pradipta, Gede Angga
Results: 7
Enhanced Human Activity Recognition (HAR): Leveraging Sub-Window Techniques and Feature Ratios from Triaxial Accelerometer Data.
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- International Journal of Intelligent Engineering & Systems, 2025, v. 18, n. 1, p. 481, doi. 10.22266/ijies2025.0229.34
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- Article
FGT-B Model for Botnet Attack Detection Using Hybrid Analysis with Data Filtering and Aggregation Data Based on Network Traffic Flows.
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- International Journal of Intelligent Engineering & Systems, 2025, v. 18, n. 1, p. 218, doi. 10.22266/ijies2025.0229.17
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Deep Learning Based Detection and Classification of Amniotic Fluid Echogenicity Type for Enhanced Prenatal Diagnosis.
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- International Journal of Intelligent Engineering & Systems, 2025, v. 18, n. 1, p. 246, doi. 10.22266/ijies2025.0229.18
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A New Approach of Botnet Activity Detection Models Using Combination of Univariate and ANOVA Feature Selection Techniques.
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- International Journal of Intelligent Engineering & Systems, 2024, v. 17, n. 3, p. 485, doi. 10.22266/ijies2024.0630.38
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A New Approach for Human Activity Recognition (HAR) Using A Single Triaxial Accelerometer Based on a Combination of Three Feature Subsets.
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- International Journal of Intelligent Engineering & Systems, 2024, v. 17, n. 2, p. 235, doi. 10.22266/ijies2024.0430.21
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Combining CNN Feature Extractors and Oversampling Safe Level SMOTE to Enhance Amniotic Fluid Ultrasound Image Classification.
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- International Journal of Intelligent Engineering & Systems, 2024, v. 17, n. 1, p. 251, doi. 10.22266/ijies2024.0229.24
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Improving Classifiaction Performance of Fetal Umbilical Cord Using Combination of SMOTE Method and Multiclassifier Voting in Imbalanced Data and Small Dataset.
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- International Journal of Intelligent Engineering & Systems, 2020, v. 13, n. 5, p. 441, doi. 10.22266/ijies2020.1031.39
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- Article