Výsledky vyhledávání - "xgboost model"

Akademický článek

Elucidating price variability drivers in highway electromechanical equipment using CV predictions with PSO-XGBoost

Autor: Xiaomin Dai, Linxuan Liu, Zhihe Cheng

Publikováno v: Alexandria Engineering Journal, Vol 109, Iss , Pp 754-767 (2024)

The exponential development of expressways has resulted in increased demand for highway electromechanical (E&M) equipment. However, the constant changes in parameters and models of electromechanical equipment make national quotas outdated and complic

Externí odkaz: https://doaj.org/article/8b7d0090ada14e7ab1e4a0a5bf8f5e6e

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Akademický článek

Establishing a differential diagnosis model between primary membranous nephropathy and non-primary membranous nephropathy by machine learning algorithms

Autor: Shangmei Cao, Shaozhe Yang, Bolin Chen, Xixia Chen, Xiuhong Fu, Shuifu Tang

Publikováno v: Renal Failure, Vol 46, Iss 2 (2024)

Context Four algorithms with relatively balanced complexity and accuracy in deep learning classification algorithm were selected for differential diagnosis of primary membranous nephropathy (PMN).Objective This study explored the most suitable classi

Externí odkaz: https://doaj.org/article/78b3b26d74fa4d76a57222f224bb84e4

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Akademický článek

Machine learning models with innovative outlier detection techniques for predicting heavy metal contamination in soils

Autor: Proshad, Ram ^{a, b}, Asharaful Abedin Asha, S.M. ^c, Tan, Rong ^d, Lu, Yineng ^d, Abedin, Md Anwarul ^e, Ding, Zihao ^d, Zhang, Shuangting ^d, Li, Ziyi ^d, Chen, Geng ^d, Zhao, Zhuanjun ^{a, ⁎}

Publikováno v: In Journal of Hazardous Materials 5 January 2025 481

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Akademický článek

EEG microstate as a biomarker of post-stroke depression with acupuncture treatment

Autor: Conghui Wei, Qu Yang, Jinling Chen, Xiuqin Rao, Qingsong Li, Jun Luo

Publikováno v: Frontiers in Neurology, Vol 15 (2024)

BackgroundPost-stroke depression (PSD) is a prevalent psychiatric complication among stroke survivors. The PSD researches focus on pathogenesis, new treatment methods and efficacy prediction. This study explored the electroencephalography (EEG) micro

Externí odkaz: https://doaj.org/article/df3c6451b57b43a2b779fb3455799398

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Akademický článek

Integration of fuzzy AHP and explainable AI for effective coastal risk management: A micro-scale risk analysis of tropical cyclones

Autor: Tanmoy Das, Swapan Talukdar, Shahfahad, Mohd Waseem Naikoo, Ishita Afreen Ahmed, Atiqur Rahman, Md Kamrul Islam, Edris Alam

Publikováno v: Progress in Disaster Science, Vol 23, Iss , Pp 100357- (2024)

The east coast of India, especially the coastal region of Odisha, is highly threatened by tropical cyclones. This study develops a detailed risk map for tropical cyclones in the coastal districts of Odisha at the micro level, focusing on the assessme

Externí odkaz: https://doaj.org/article/309b93f6e0e14d9a96a20a370b0f88d7

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Akademický článek

Breathomics for diagnosing tuberculosis in diabetes mellitus patients

Autor: Rong Xu, Ying Zhang, Zhaodong Li, Mingjie He, Hailin Lu, Guizhen Liu, Min Yang, Liang Fu, Xinchun Chen, Guofang Deng, Wenfei Wang

Publikováno v: Frontiers in Molecular Biosciences, Vol 11 (2024)

IntroductionIndividuals with diabetes mellitus (DM) are at an increased risk of Mycobacterium tuberculosis (Mtb) infection and progressing from latent tuberculosis (TB) infection to active tuberculosis disease. TB in the DM population is more likely

Externí odkaz: https://doaj.org/article/d5aafe53ee3548c3acb0c029f5db2902

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