Showing 1 - 20 results of 188 for search 'collected control set algorithm', query time: 0.15s Refine Results
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    TB drug susceptibility testing in high fluoroquinolone resistance settings by F. Saluzzo, F. Masood, V. Batignani, F. Di Marco, U. Majeed, A. Ghazal, D.M. Cirillo, S. Tahseen

    Published 2024-05-01
    “…CONCLUSIONS: The obtained results allowed designing the proposed diagnostic algorithm for rapid identification of DR-TB, ensuring rapid and equitable access to drug susceptibility testing for TB, ultimately improving TB care and control.…”
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    Active noise control of refrigerator based on cascaded notch feedback algorithm by Chaoping Gui

    Published 2025-06-01
    “…The feedback algorithm consists of a robust algorithm for dealing with external interference signals introduced during error signal collection. …”
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    Effects of Simplified Antihypertensive Treatment Algorithm on Hypertension Management and Hypertension-Related Death in Resource-Constricted Primary Care Setting between 1997 and 2... by Mulalibieke Heizhati, Nanfang Li, Qiaoyan Shi, Xiaoguang Yao, Delian Zhang, Keming Zhou, Menghui Wang, Junli Hu, Gulinuer Duiyimuhan, Wen Jiang, Jing Hong, Le Sun

    Published 2021-01-01
    “…Compared to 1997–1999, stroke/NCD death was reduced by 34.1% in 2015–2017 (31.7 vs. 20.9%, P = 0.006) in the intervention counties whereas by 7.5% in control county. Introduction of treatment algorithm helps improve hypertension management and reduce stroke death in resource-constricted primary settings.…”
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    Mission Re-Planning of Reusable Launch Vehicles Under Throttling Fault in the Recovery Flight Based on Controllable Set Analysis and a Deep Neural Network by Keshu Li, Wanqing Zhang, Han Yuan, Jing Zhou, Ying Ma

    Published 2025-02-01
    “…To quantify the influence of throttling capability, the concept of “controllable set (CS)” is introduced. The CS is defined as the collection of all feasible initial states that can achieve a successful powered landing and is computed using polyhedron approximation and convex optimization. …”
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    Predicting Financial Distress through Ranking Working Capital Management Components Using Random Forest Algorithm by Pouya Sadeghi, Daryush Farid, Hamid Reza Mirzaei, Abolfazl Dehghani

    Published 2025-03-01
    “…Subsequently, the predictive power of 7 key working capital management components in forecasting financial distress was tested using Python software and the random forest algorithm.The random forest method is based on ensemble learning, wherein the data are split into training and testing sets. …”
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    Coordinated Control of Relative Orbit of Co-Location Geostationary Satellites Using Game Theory by Fatemeh Amozegay, Amirreza Kosari, Mahdi Fakoor

    Published 2024-01-01
    “…Also, based on the case studies conducted by the authors, it is possible to optimally locate and control 20 satellites in a collective orbital slot without any interference.…”
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    Walking detection for Parkinson’s disease patients and healthy control subjects measured with a smartphone accelerometer using mean amplitude deviation algorithm by Milla Juutinen, Jari Ruokolainen, Juha Puustinen, Anu Holm, Mark van Gils, Antti Vehkaoja

    Published 2025-05-01
    “…The sensitivity of the algorithm in a controlled measurement setting was 100% and 98.7% for healthy adults and a combined dataset of Parkinson’s disease patients and control subjects, respectively. …”
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    Mapping topographic structure in white matter pathways with level set trees. by Brian P Kent, Alessandro Rinaldo, Fang-Cheng Yeh, Timothy Verstynen

    Published 2014-01-01
    “…Using diffusion spectrum imaging data collected on neurologically healthy controls (N = 30), we mapped white matter pathways from the cortex into the striatum using a deterministic tractography algorithm that estimates fiber bundles as dimensionless streamlines. …”
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    Portable EEG for assessing attention in educational settings: A scoping review by Jian-Wei Wang, Da-Wei Zhang, Stuart J. Johnstone

    Published 2025-05-01
    “…The testing sites and tasks were predominantly out-of-lab controlled settings and structured learning materials. …”
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    An intelligent algorithm for identifying dropped blocks in wellbores by Qian Wang, Zixuan Yang, Chenxi Ye, Wenbao Zhai, Xiao Feng

    Published 2025-04-01
    “…An optimal machine learning algorithm was developed by training it with 10 machine learning algorithms and the block data collected in the field. …”
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    An optimal L∞-PLA algorithm for trajectory data compression by ZHAO Huanyu, SUN Guohao, LI Tongliang, YANG Jian, PANG Chaoyi

    Published 2024-09-01
    “…It can generate the minimum number of disconnected straight lines in linear time complexity, and these lines are quality-ensured, i.e., the synchronous error between the original point and corresponding recovered one is controlled. With experimental tests by comparing MDisPLA with the state-of-the-art algorithm implemented based on cone intersection using the synchronous Euclidean distance (CISED) on trajectory data sets, it demonstrates that MDisPLA can be stable to generate the quality-ensured lines. …”
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    Application of selective ensemble learning soft sensor modeling based on GPR in the solar thermal power collection system by Yalu Sun, Kun Ding, Changhai Yang, Zhuxiu Wang

    Published 2025-03-01
    “…In order to achieve zero carbon emissions, new concepts and algorithms are needed in the control of renewable energy to ensure the safe and reliable operation of the grid under the trend of zero carbonization in the future. …”
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