Showing 141 - 160 results of 13,273 for search 'selected features', query time: 0.07s Refine Results
  1. 141

    Selective dorsal rhizotomy in cerebral palsy: the efficiency and the specific features of rehabilitation by Dinara B. Kurmanova, Saule T. Turuspekova, Vitalie S. Lisnic, Gulnara A. Mukhambetova, Bayan K. Demesinova, Nurmukhamed K. Mamashayev

    Published 2025-01-01
    “…The provided literature review contains a historic reference on the development of the technology along with the current data on the efficiency of surgical intervention with the analyzed research results in terms of the methods and the specific features of rehabilitation among the patients with the diagnosis of cerebral palsy after selective dorsal rhizotomy. …”
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    AccFIT-IDS: accuracy-based feature inclusion technique for intrusion detection system by C. Rajathi, P. Rukmani

    Published 2025-12-01
    “…In stage 1, various filter-based feature selection methods are applied extract features from intial dataset. …”
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  8. 148

    Online LiDAR-Camera Extrinsic Calibration Using Selected Semantic Features by Ping-Tzu Lin, Ying-Shiuan Huang, Wen-Chieh Lin, Chieh-Chih Wang, Huei-Yung Lin

    Published 2025-01-01
    “…Our method could effectively ameliorate the problem of targetless methods which usually lack robust features and the correspondences. We also propose a feature selection technique to filter out improper feature correspondences by matching the image contours and point cloud projection contours. …”
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    Optimizing Solar Radiation Prediction with ANN and Explainable AI-Based Feature Selection by Ibrahim Al-Shourbaji, Abdalla Alameen

    Published 2025-06-01
    “…This paper presents an Artificial Neural Network (ANN) model optimized using feature selection techniques based on Explainable AI (XAI) methods to enhance SR prediction performance. …”
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  12. 152

    Elevating Accuracy: Enhanced Feature Selection Methods for Type 2 Diabetes Prediction by Ghazaleh Kakavand Teimoory, MohammadReza Keyvanpour

    Published 2024-04-01
    “…In this study using the Pima dataset, we applied a preprocessing technique that utilized the most important features identified by the Random Forest algorithm and we used an ensemble method combining the SVM algorithm and Naïve Bayes for the model. …”
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  13. 153

    Selection of geometrical features of nuclei оn fluorescent images of cancer cells by Ya. U. Lisitsa, M. M. Yatskou, V. V. Skakun, P. D. Pavel D. Kryvasheyeu, V. V. Apanasovich

    Published 2019-06-01
    “…The methods of geometric informative features selection of nuclei on fluorescent images of cancer cells are considered. …”
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    Effects of data transformation and model selection on feature importance in microbiome classification data by Zuzanna Karwowska, Oliver Aasmets, Estonian Biobank research team, Tomasz Kosciolek, Elin Org

    Published 2025-01-01
    “…Conclusions Microbiome data transformations can significantly influence feature selection but have a limited effect on classification accuracy. …”
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    Adversarial Threats to Cloud IDS: Robust Defense With Adversarial Training and Feature Selection by Hariprasad Holla, Shashidhar Reddy Polepalli, Arun Ambika Sasikumar

    Published 2025-01-01
    “…To mitigate these vulnerabilities, we explicitly propose a dual-layered defense strategy: (i) adversarial training, explicitly incorporating adversarial examples into model training to improve robustness, and (ii) SHAP-based robust feature selection, explicitly enhancing interpretability and resilience by identifying stable, attack-resistant features. …”
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