Showing 601 - 620 results of 5,488 for search 'decision three algorithm', query time: 0.20s Refine Results
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    Distributed Decision Making for Electromagnetic Radiation Source Localization Using Multi-Agent Deep Reinforcement Learning by Jiteng Chen, Zehui Zhang, Dan Fan, Chaoqun Hou, Yue Zhang, Teng Hou, Xiangni Zou, Jun Zhao

    Published 2025-03-01
    “…Furthermore, we employ a geometry-based three-point localization algorithm that leverages multiple UAVs’ spatial distribution for precise abnormal radiation source positioning. …”
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  4. 604

    Efficient and Privacy-Preserving Decision Tree Inference via Homomorphic Matrix Multiplication and Leaf Node Pruning by Satoshi Fukui, Lihua Wang, Seiichi Ozawa

    Published 2025-05-01
    “…Additionally, we introduce a leaf node pruning (LNP) algorithm designed to identify and retain the most informative leaf nodes during prediction with a decision tree. …”
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    Comparative Analysis of Supervised Machine Learning Algorithms for COVID-19 Prediction by Rubina Shaheen, Beenish Akram, Amna Zafar, Talha Waheed

    Published 2024-04-01
    “…Given the nature of the disease, it is needed to mitigate the effects of spread by resorting to technological advancements for diagnosis of the disorder using machine learning algorithms. In this paper, three supervised machine learning algorithms; Decision Tree, Naïve Bayes, and Logistic Regression have been utilized for the prediction of the disease encompassing nine attributes considering various combinations of symptoms. …”
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  7. 607

    The Application of Tree-Based Algorithms on Classifying Shunting Yard Departure Status by Niloofar Minbashi, Markus Bohlin, Carl-William Palmqvist, Behzad Kordnejad

    Published 2021-01-01
    “…Applying SMOTE improved the sensitivity, precision, and F-measure of delayed departures by 20% for decision trees and by 30% for random forests. Overall, random forests show a relative better performance in detecting all three departure classes before and after applying SMOTE. …”
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    Structural Damage Identification Using Novel Objective Functions and Metaheuristic Algorithms by Moeinoddin Rokhsati, Mohamad Mohamadi Dehcheshmeh, Gholamreza Ghodrati Amiri, Morteza Raissi Dehkordi

    Published 2025-10-01
    “…Modal assurance criterion (MAC) was also employed to form the objective functions. Moreover, three metaheuristic optimization algorithms (EO, Jaya, and TLBO) were implemented to execute the model updating process. …”
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    A sociotechnical perspective for explicit unfairness mitigation techniques for algorithm fairness by Nimisha Singh, Amita Kapoor, Neha Soni

    Published 2024-11-01
    “…The experimentation examines the correlation coefficient, Area Under the Curve (AUC), and Root Mean Square Error (RMSE) in relation to a fairness parameter, epsilon. Our findings suggest three objectively testable propositions namely, 1) Fairness Constraint and Predictive power, 2) Fairness Constraints and Discriminatory Ability, 3) Fairness Constraints and Prediction Accuracy.…”
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    Cognitive Radio Transceivers: RF, Spectrum Sensing, and Learning Algorithms Review by Lise Safatly, Mario Bkassiny, Mohammed Al-Husseini, Ali El-Hajj

    Published 2014-01-01
    “…Moreover, we study unsupervised classification algorithms and a reinforcement learning (RL) algorithm that has been proposed to perform decision-making in CR networks.…”
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    Adaptive Algorithm Recommendation and Application of Learning Resources in English Fragmented Reading by Jinyu Cheng, Hong Wang

    Published 2021-01-01
    “…The algorithm-based adaptive recommendation algorithm for English fragmented reading resources is designed. …”
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    A Highly Discriminative Hybrid Feature Selection Algorithm for Cancer Diagnosis by Tarneem Elemam, Mohamed Elshrkawey

    Published 2022-01-01
    “…The algorithm comprises a two-stage hybrid feature selection. …”
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    RF-Based Sensing and AI Decision Support for Stroke Patient Monitoring: A Digital Twin Approach by Sagheer Khan, Usman Anwar, Aftab Khan, Tughrul Arslan

    Published 2025-01-01
    “…The statistical and autonomous (AutoEncoders (AE) and Stacked AutoEncoders (SAE) with structure 32-16-32, 64-32-16-32-64, and 128-64-32-16-32-64-128) feature data is enlarged through Gaussian noise feature data augmentation. The Fine KNN algorithm provides the 93.4% and 92.3% classification accuracies of binary and multi-class classification respectively. …”
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    Novel Intermode Prediction Algorithm for High Efficiency Video Coding Encoder by Chan-seob Park, Gwang-Soo Hong, Byung-Gyu Kim

    Published 2014-01-01
    “…In this paper, we propose a fast CU depth decision algorithm for HEVC technology to reduce its computational complexity. …”
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    A pair-based task scheduling algorithm for cloud computing environment by Sanjaya Kumar Panda, Shradha Surachita Nanda, Sourav Kumar Bhoi

    Published 2022-01-01
    “…We simulate the proposed algorithm and compare it with three existing algorithms, first-come-first-served, Hungarian algorithm with lease time and Hungarian algorithm with converse lease time in twenty-two different datasets. …”
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