Showing 341 - 360 results of 7,873 for search 'comparative research algorithm', query time: 0.21s Refine Results
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    Research on speed measurement technology for maglev trains based on multi-source information fusion by LUO Yongsheng, FAN Liang, LIU Ze, WANG Yeliu

    Published 2024-11-01
    “…However, deficiencies such as single source of speed measurement information, measurement performance limitations, and common cause failures result in low speed measurement accuracy and significant speed update delays for trains running at low speeds, thereby influencing the safety of train operation. This research was conducted relying on the Grobers algorithm and the fuzzy closeness algorithm. …”
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    Optimization research on UAV semantic communication system based on SVD-MADRL by Yibo Yang, Yahe Tan, Liu Liu

    Published 2025-01-01
    “…Moreover, the energy consumption of the model to complete task transmission is only 2835 joules, and the delay time is only 15 s. In addition, compared with traditional algorithms, the semantic communication optimization model constructed in this study performs the best in terms of total reward, data collection efficiency, and accuracy. …”
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  7. 347

    Research on Location Planning of Battery Swap Stations for Operating Electric Vehicles by Pengcheng Ma, Shuai Zhang, Bin Zhou, Wenqi Shao, Haowen Li, Tengfei Ma, Dong Guo

    Published 2025-06-01
    “…The spatial and temporal distribution of power exchange demand is predicted by considering the operation law, driving law, and charging decision of drivers; the candidate sites of power exchange stations are determined based on the data of power exchange demand; the optimization model of the site selection of power exchange stations with the lowest loss time of vehicle power exchange and the lowest cost of the planning and construction of power exchange stations is established and solved by using the joint algorithm of MLP-NSGA-II; and the optimization model is compared with the traditional genetic algorithm (GA) and the Density Peak. …”
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  8. 348

    From manual clinical criteria to machine learning algorithms: Comparing outcome endpoints derived from diverse electronic health record data modalities. by Shreya Chappidi, Mason J Belue, Stephanie A Harmon, Sarisha Jagasia, Ying Zhuge, Erdal Tasci, Baris Turkbey, Jatinder Singh, Kevin Camphausen, Andra V Krauze

    Published 2025-05-01
    “…Yet, PFS is often missing from publicly available datasets due to the current subjective, expert, and time-intensive nature of generating PFS metrics. Given emerging research in multi-modal machine learning (ML), we explored the benefits and challenges associated with mining different electronic health record (EHR) data modalities and automating extraction of PFS metrics via ML algorithms.…”
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  9. 349

    Comparative Study of SVM, KNN, and Naïve Bayes for Sentiment Analysis of Religious Application Reviews by Heti Aprilianti, Khothibul Umam, Maya Rini Handayani

    Published 2025-06-01
    “…This study aims to evaluate and compare the performance of three machine learning algorithms—Support Vector Machine (SVM), K-Nearest Neighbors (K-NN), and Naïve Bayes—for sentiment classification of user reviews on the NU Online application in the Google Play Store. …”
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    Research on Denoising of Bridge Dynamic Load Signal Based on Hippopotamus Optimization Algorithm–Variational Mode Decomposition–Singular Spectrum Analysis Method by Zhengqiang Zhong, Zhen Li, Jinlong Wang, Cong Tang, Yu Liu, Kaijun Guo

    Published 2025-04-01
    “…To address this issue, this research proposes a denoising method that combines the hippopotamus optimization algorithm (HOA), variational mode decomposition (VMD), and singular spectrum analysis (SSA). …”
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  15. 355

    Suicide Risk Screening in Jails: Protocol for a Pilot Study Leveraging the Mental Health Research Network Algorithm and Health Care Data by Erin B Comartin, Grant Victor, Athena Kheibari, Brian K Ahmedani, Bethany Hedden-Clayton, Richard N Jones, Ted R Miller, Jennifer E Johnson, Lauren M Weinstock, Sheryl Kubiak

    Published 2025-06-01
    “…MethodsThe study uniquely contributes to our understanding of suicide risk by further validating an existing ML model developed and previously validated by the Mental Health Research Network using Medicaid outpatient health care claims data. …”
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  16. 356

    Metropolitan Area Network Model Design Algorithm Using Regional Railways Information and Daily Movement Data for Beyond 5G Research by Koga Nakamura, Shotaro Kitano, Yusuke Hirota, Takehiro Tsuritani, Hiroshi Hasegawa, Takuji Tachibana

    Published 2025-01-01
    “…The designed MAN models are a simple plane graph and are widely used in numerous research domains. We compared the designed models with those developed using the existing algorithm that uses only railway line information. …”
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  17. 357

    A research on low-earth-orbit signal-of-opportunity interference suppression algorithm based on adaptive signal iterative subspace projection technique by Lihao Yao, Lihao Yao, Bin Fan, Honglei Qin, Deyong Xian, Boyun Gu, Hai Sha, Gangqiang Guan, Zhijun Liu, Donghan He, Liwei Zhang

    Published 2025-04-01
    “…Signal-of-Opportunity (SOP) positioning based on Low-Earth-Orbit (LEO) constellations has gradually become a research hotspot. LEO satellite SOP positioning possess strong anti-jamming capabilities due to their large quantity, wide spectral coverage, and high signal power. …”
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    Benefits and harms associated with the use of AI-related algorithmic decision-making systems by healthcare professionals: a systematic reviewResearch in context by Christoph Wilhelm, Anke Steckelberg, Felix G. Rebitschek

    Published 2025-01-01
    “…To address this gap, this systematic review assesses the benefits and harms associated with AI-related algorithmic decision-making (ADM) systems used by healthcare professionals, compared to standard care. …”
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    Research on the deformation prediction model of surrounding rock based on SSA-VMD-GRU by Xiao Jiming, Guo Hongyan, Guo Huajun, Hu Juyi, Zhang Zhongzhe

    Published 2025-07-01
    “…Aiming at the problems of nonlinearity, high dynamics, and low prediction accuracy of surrounding rock deformation, this article proposes a time series prediction method based on the sparrow search algorithm (SSA)-variational mode decomposition (VMD)-gated recurrent unit (GRU) deep learning model. …”
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