Showing 81 - 100 results of 861 for search '(( Random binary tree ) OR ( Random binary three ))', query time: 0.18s Refine Results
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    Improved Quantum Query Upper Bounds Based on Classical Decision Trees by Arjan Cornelissen, Nikhil S. Mande, Subhasree Patro

    Published 2025-06-01
    “…We also show a polynomial separation between rank and randomized rank for the complete binary AND-OR tree. …”
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  6. 86

    Novel delayed binary time-series pattern based machine learning techniques for stock market forecasting by Zeqiye Zhan, Song-Kyoo Kim

    Published 2025-09-01
    “…This study proposes an innovative machine learning technique for stock market forecasting that leverages delayed binary time-series patterns to enhance prediction accuracy. …”
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    Article
  7. 87

    Quantum proof biometric authentication framework using binary lattices and homomorphic encryption for secure cancelable templates by S. Aarthi, K. Geetha, N. Sasikaladevi

    Published 2025-06-01
    “…The proposed AEGIIS (Quantum-proof Biometric Authentication: A FramEwork UtilizinG BInary Lattices and HomomorphIc Encryption for Cancelable TemplateS) secures an individual’s biometric templates through efficient arithmetic operations on binary lattices and homomorphic encryption, utilizing random noise polynomials with uniform distribution. …”
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    BBDetector: Intelligent border binary detection in IoT device firmware based on a multidimensional feature model. by Shudan Yue, Guimin Zhang, Qingbao Li, Wenbo Zhang, Xiaonan Li, Weihua Jiao

    Published 2025-01-01
    “…Additionally, BBDetector detected 3.25 times and 2.23 times more border binaries in Dataset II than did the state-of-the-art tools Karonte and SaTC, respectively. …”
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    A comparative study of machine learning and deep learning models in binary and multiclass classification for intrusion detection systems by Ayesha Alharthi, Meera Alaryani, Sanaa Kaddoura

    Published 2025-07-01
    “…Preprocessing steps included normalization, label encoding, and a 70:10:20 train-validation-test split. Seven models, Random Forest, Decision Tree, K-Nearest Neighbors, XGBoost, Convolutional Neural Network, Gated Recurrent Unit, and Long Short-Term Memory, were trained and evaluated using precision, recall, and F1-score. …”
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    IMPACT OF BRASSINOLIDE, NANO-SILICON, AND MYCORRHIZAE ON THE NUTRIENT COMPOSITION AND PRODUCTIVITY OF OLIVE TREES BASHIKA CV by Esraa AL-Jaleely, Ayad Alalaf, Suliman Kako

    Published 2025-06-01
    “…The experiment used a Randomized Complete Block Design (R.C.B.D) with three factors, three replicates, and one tree per experimental unit. …”
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    A Comparison of Binary and Integer Encodings in Genetic Algorithms for the Maximum <i>k</i>-Coverage Problem with Various Genetic Operators by Yoon Choi, Jingeun Kim, Yourim Yoon

    Published 2025-04-01
    “…The performances of the GAs with various crossover and repair operators were also compared for each encoding type through experiments. In binary encoding, the combination of uniform crossover and random repair improved the average objective value by up to 3.24% compared to one-point crossover and random repair across the tested instances. …”
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