Showing 61 - 80 results of 1,658 for search 'adaptive machine algorithm', query time: 0.08s Refine Results
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    Using Machine Learning to Shorten and Adapt Fall Risk Assessments for Older Adults by Lilyana Khatib, Adi Toledano-Shubi, Hilla Sarig Bahat, Hagit Hel-Or

    Published 2025-02-01
    “…This study introduces a novel machine learning-based computerized adaptive testing algorithm that personalizes testing to individual capabilities. …”
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    Performance comparison of machine learning algorithms for condition monitoring of tapered roller bearings by Harshal Aher, Nilesh Ghuge

    Published 2025-06-01
    “…This paper investigated the implementation of machine learning algorithms for health monitoring and fault detection of tapered roller bearings (TRBs) (30205 J2/Q, 30206 J2/Q and 30207 J2/Q). …”
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  10. 70

    Predicting the Classification of Heart Failure Patients Using Optimized Machine Learning Algorithms by Marzia Ahmed, Mohd Herwan Sulaiman, Md Maruf Hassan, Touhid Bhuiyan

    Published 2025-01-01
    “…This study proposes an optimized machine learning approach using Gradient Boosting Machine (GBM) and Adaptive Inertia Weight Particle Swarm Optimization (AIW-PSO) to predict heart failure survival. …”
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    Estimating latent heat flux of subtropical forests using machine learning algorithms by Harekrushna Sahu, Pramit Kumar Deb Burman, Palingamoorthy Gnanamoorthy, Qinghai Song, Yiping Zhang, Huimin Wang, Yaoliang Chen, Shusen Wang

    Published 2025-01-01
    “…By harnessing diverse datasets, we employ various machine learning regression algorithms. We find the support vector regression superior to linear, lasso, random forest, adaptive boosting and gradient boosting algorithms. …”
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  12. 72

    Comparative analysis of machine learning algorithms for predicting depression among individuals with diabetes by Hind Bourkhime, Noura Qarmiche, Soumaya Benmaamar, Nada Lazar, Mohammed Omari, Mohamed Berraho, Nabil Tachfouti, Samira El Fakir, Hanan El Ouahabi, Nada Otmani

    Published 2025-06-01
    “…The algorithms evaluated include logistic regression (LR), k-nearest neighbors (KNN), decision tree (DT), random forest (RF), Adaptive Boosting (AdaBoost), support vector machine (SVM), Extreme Gradient Boosting (XGBoost), and Categorical Boosting (CatBoost). …”
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    FAST Algorithm for Accurate Corner Points Detection of Section Steel Based on Adaptive Threshold by BAO Jiahan, SUN Deshang, HUANG Jianzhong, HU Zheng

    Published 2025-05-01
    “…Furthermore, the algorithm proposed provides accurate corner points for real-time section steel flatness detection, and improves the adaptability of corner points extraction.…”
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    Adaptive crayfish optimization algorithm for multi-objective scheduling optimization in distributed production workshops by Xin Yang, Xiaoying Yang, Jinhao Du

    Published 2025-06-01
    “…The model aims to maximize customer satisfaction, minimize total setup time, and reduce deviations in workshop machine loads. To solve this problem, an Adaptive Crayfish Optimization Algorithm (ACOA) is introduced. …”
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    Flexible Adaptive Marine Predator Algorithm and Its Application in Fault Detection for Wind Turbines by WANG Wen, YI Jiabiao

    Published 2024-12-01
    “…To solve these issues, this paper proposes a flexible adaptive marine predator algorithm (FAMPA) by introducing an adaptive parameter mechanism to enhance the original MPA. …”
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    SMART DShot: Secure Machine-Learning-Based Adaptive Real-Time Timing Correction by Hyunmin Kim, Zahid Basha Shaik Kadu, Kyusuk Han

    Published 2025-08-01
    “…This paper introduces SMART DShot, a groundbreaking machine learning-enhanced framework that transforms the security landscape of unmanned aerial vehicle motor control systems through seamless integration of adaptive timing correction and real-time anomaly detection within Digital Shot (DShot) communication protocols. …”
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    ADAPTIVE VISION AI by V. Vodyanitskyi, V. Yuskovych-Zhukovska

    Published 2024-12-01
    “…The developed open source software allows detection, tracking and recognition of blurry moving objects with the help of artificial intelligence that adapts to any video camera. A significant increase in accuracy is achieved thanks to machine learning.…”
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