Showing 4,881 - 4,900 results of 7,873 for search 'comparative research algorithm', query time: 0.24s Refine Results
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    Muloc: Multi-scale combination mask indoor localization network for WiFi based on channel state information by Haoyang Qi, Xin Song, Yuqi Zhang, Lanfeng Li, Zhiao Cao

    Published 2025-06-01
    “…Next, we propose a competitive localization network based on aggregated affinity propagation algorithm. Experiments have been conducted to demonstrate that the proposed algorithm achieves significant improvement compared to other classical algorithms in the indoor environment.…”
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  4. 4884

    Churn prediction for SaaS company with machine learning by Hugo Eduardo Sanches, Ayslan Trevizan Possebom, Linnyer Beatrys Ruiz Aylon

    Published 2025-06-01
    “…Originality/value – By applying machine learning to churn prediction, this study offers valuable insights into the performance and comparative analysis of different algorithms in a real-world SaaS environment. …”
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  5. 4885
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  7. 4887

    Multiple objectives escaping bird search optimization and its application in stock market prediction based on transformer model by Dedai Wei, Zimo Wang, Minyu Qiu, Juntao Yu, Jiaquan Yu, Yurun Jin, Xinye Sha, Kaichen Ouyang

    Published 2025-02-01
    “…This study first validates the performance of MOEBS through a series of multi-objective benchmark tests on standard problem sets such as ZDT, DTLZ, and WFG, comparing it with other multi-objective optimization algorithms (e.g., MOMVO, MSSA, and MOEAD) using evaluation metrics such as GD, Spacing, IGD, and HV for comprehensive analysis. …”
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  8. 4888

    Long-Term (2015–2024) Daily PM<sub>2.5</sub> Estimation in China by Using XGBoost Combining Empirical Orthogonal Function Decomposition by Jiacheng Jiang, Jiaxin Dong, Yu Ding, Wenjia Ni, Jie Yang, Siwei Li

    Published 2025-05-01
    “…First, we utilize the machine learning algorithm XGBoost (EXtreme Gradient Boosting) to address gaps in the daily MAIAC (Multi-Angle Implementation of Atmospheric Correction) AOD (Aerosol Optical Depth), with R<sup>2</sup>/RMSE (coefficient of determination/Root Mean Square Error) of 0.67/0.2678 compared to AERONET (Aerosol Robotic Network) AOD. …”
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    The REporting of Studies Conducted Using Observational Routinely-Collected Health Data (RECORD) Statement: Methods for Arriving at Consensus and Developing Reporting Guidelines. by Stuart G Nicholls, Pauline Quach, Erik von Elm, Astrid Guttmann, David Moher, Irene Petersen, Henrik T Sørensen, Liam Smeeth, Sinéad M Langan, Eric I Benchimol

    Published 2015-01-01
    “…<h4>Objective</h4>Routinely collected health data, collected for administrative and clinical purposes, without specific a priori research questions, are increasingly used for observational, comparative effectiveness, health services research, and clinical trials. …”
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  13. 4893

    A discussion of S.M. Krylov’s book «Neocybernetics» (2008) by E. S. Gornev, I. V. Matyushkin

    Published 2021-12-01
    “…A comparative analysis of the “general formal technology (GFT)” by S. …”
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  14. 4894

    Study on Adaptive Excitation System of Transmission Line Galloping Based on Electromagnetic Repulsive Mechanism by Jiangjun Ruan, Li Zhang, Wei Cai, Daochun Huang, Jian Li, Zhihui Feng

    Published 2021-01-01
    “…Newmark method and fourth-order Runge-Kutta algorithm were used to complete the integrated simulation calculation. …”
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    Predicting patient deterioration with physiological data using AI: systematic review protocol by Chris Plummer, Edward Meinert, Victoria Riccalton, Lynsey Threlfall, Cen Cong

    Published 2025-08-01
    “…This systematic review aims to establish which AI or machine learning algorithm is best suited to analysing physiological data sets to predict patient deterioration in a hospital setting.Methods and analysis A systematic review will be conducted in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) and the PICOS (Population, Intervention, Comparator, Outcome and Study) frameworks. …”
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  17. 4897

    Temporal prediction and feedforward control in cerebellar ataxia during spontaneous, instructed, and adaptive auditory-motor coupling while walking by Lousin Moumdjian, Bart Moens, Mario Manto, Pierre Cabaraux, Bart Van Wijmeersch, Daphne Kos, Marc Leman, Peter Feys

    Published 2025-08-01
    “…The adaptive alignment algorithm may have compensated for feedforward impairments, thereby promoting enhanced synchronization and gait dynamics. …”
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    Artificial intelligence technology in the clinical analysis of a patient with a mental disorder (case report) by Dmitry I. Nozdrachev, Maksim P. Marachev, Pavel S. Evgenov, Natalia N. Petrova

    Published 2024-04-01
    “…The analysis involved comparing the results of the LLM's analysis of clinical data with psychiatrists’ clinical analysis. …”
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