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Showing 61 - 80 results of 17,151 for search '(predictive OR reduction) algorithms', query time: 0.17s Refine Results
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    ATO Controller Research Based on Predictive Fuzzy Control Algorithm by LIU Jiazheng, XU Juan

    Published 2018-01-01
    “…It is necessary to study more effective control algorithm in ATO system. As the train operation process is a complex nonlinear system, and fuzzy predictive control algorithm has good control effect and strong robustness, the model accuracy requirement is not high, it can overcome the influence of various uncertainty and complex changes. …”
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    Article
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    A Review of Link Prediction Algorithms in Dynamic Networks by Mengdi Sun, Minghu Tang

    Published 2025-02-01
    “…Furthermore, dynamic network link prediction algorithms are classified into regular sampling and irregular sampling by the method of network sampling. …”
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  6. 66

    Comparative analysis of boosting algorithms for predicting personal default by Nhat Nguyen, Duy Ngo

    Published 2025-12-01
    Subjects: “…Personal default prediction…”
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  7. 67

    Using machine learning algorithms to predict colorectal polyps by Xingjian Xiao, Shiyou Liu, Kubra Maqsood, Xiaohan Yi, Guoqun Xie, Hailei Zhao, Bo Sun, Jianying Mao, Xianglong Xu

    Published 2025-02-01
    “…Interpretation: Using non-invasive factors and machine learning algorithms can accurately predict the occurrence of colorectal polyps in individuals with positive initial screening results. …”
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    Article
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    Improving Prediction Algorithms for Cardiometabolic Risk in Children and Adolescents by Ulla Sovio, Aine Skow, Catherine Falconer, Min Hae Park, Russell M. Viner, Sanjay Kinra

    Published 2013-01-01
    “…We discuss the use of MetS scores and algorithms in an attempt to predict later cardiometabolic risk in children and adolescents and offer suggestions for developing clinically useful algorithms in this population. …”
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    Student Performance Prediction Using Machine Learning Algorithms by Esmael Ahmed

    Published 2024-01-01
    “…The study found that the SVM algorithm had the best prediction results after parameter adjustment, with a 96% accuracy rate. …”
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    Article
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    Water Quality Prediction Using Artificial Intelligence Algorithms by Theyazn H. H Aldhyani, Mohammed Al-Yaari, Hasan Alkahtani, Mashael Maashi

    Published 2020-01-01
    “…In this work, advanced artificial intelligence (AI) algorithms are developed to predict water quality index (WQI) and water quality classification (WQC). …”
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    COMBINED NOISE AND ACOUSTIC FEEDBACK REDUCTION ALGORITHM BASED ON SPECTRAL WEIGHTING RULES FOR SMARTPHONE HEARING AID by M. I. Vashkevich, E. S. Azarov, A. A. Petrovsky

    Published 2019-06-01
    “…The paper presents a combined noise and acoustic feedback reduction algorithm. The algorithm is based on spectral subtraction and is robust to rapid changes in acoustic feedback path which makes it suitable for using in a smartphone-based hearing aid.…”
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    Artificial potential field path length reduction using Kenneth-Nnanna-Saleh algorithm by Kenneth Christopher Ugwoke, Nnanna Nwojo Agwu, Saleh El-Yakub Abdullahi

    Published 2025-08-01
    “…Simulation environments, each with varying complexity in obstacle arrangement, were designed for various simulations of the proposed algorithm. A Python-based computer simulation program was implemented and used to simulate the KNS, APF, and a similar waypoint reduction algorithm -Ramer-Douglas-Peucker (RDP) and the results were analyzed. …”
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    Research on PAPR reduction algorithm based on CWGAN-SLM for multi-wavelet OFDM system by Guang YANG, Zhaoyang WU, Min NIE, Xiaohong YAN, Fan JIANG

    Published 2023-04-01
    “…In order to meet the demand for low peak to average ratio (PAPR) of orthogonal frequency division multiplexing (OFDM) technology in the future 6G satellite-ground integrated system, an algorithm combining selective mapping (SLM) algorithm and multi-wavelet OFDM technology was proposed firstly.However, the PAPR reduction was limited and the computational complexity was high.To solve this problem, a multi-wavelet OFDM PAPR reduction algorithm based on conditional Wasserstein generative adversarial network (CWGAN) and SLM was proposed, which was called CWGAN-SLM algorithm.CWGAN was introduced to generate more time-domain alternative signals to reduce the PAPR in the CWGAN-SLM algorithm.Simulation results indicate that the CWGAN-SLM algorithm greatly reduces the PAPR of the system and the computational complexity, and has a lower bit error rate.Compared with the GAN and WGAN, the CWGAN has the advantages of easy training, strong stability and good PAPR performance.…”
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