Výsledky vyhľadávania - "xgboost algorithm"

XGBoost algorithm-based prediction of concrete electrical resistivity for structural health monitoring Autor Dong, Wei, Huang, Yimiao, Lehane, Barry, Ma, Guowei

“…For structural health monitoring, electrical resistivity measurement (ERM) method is commonly employed for the detection of concrete's durability, as indicated…”
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Application of XGBoost algorithm in the optimization of pollutant concentration Autor Li, Jiangtao, An, Xingqin, Li, Qingyong, Wang, Chao, Yu, Haomin, Zhou, Xinyuan, Geng, Yangli-ao

“…With the rapid development of the economy, urban pollution has become a hot issue of human concern, and people are put forward higher requirements for the…”
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Machine learning-aided biochar design for the adsorptive removal of emerging inorganic pollutants in water Autor Ullah, Habib, Khan, Sangar, Zhu, Xiaoying, Chen, Baoliang, Rao, Zepeng, Wu, Naicheng, Idris, Abubakr M

“…The escalating presence of emerging inorganic pollutants (EIPs) including vanadium (V), antimony (Sb), thallium (Tl), mercury (Hg), fluoride (F−), and rare…”
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Intelligent prediction model of mechanical properties of ultrathin niobium strips based on XGBoost ensemble learning algorithm Autor Wang, Zhen Hua, Liu, Yun Fei, Wang, Tao, Wang, Jian Guo, Liu, Yuan Ming, Huang, Qing Xue

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Understanding the relationship between rural morphology and photovoltaic (PV) potential in traditional and non-traditional building clusters using shapley additive exPlanations (SHAP) values Autor Liu, Jiang, Peng, Changhai, Zhang, Junxue

“…Rural areas have a large quantity of rooftops and facades appropriate for installing PV panels. However, the unclear impact of rural morphology on PV potential…”
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Developing window behavior models for residential buildings using XGBoost algorithm Autor Mo, Hao, Sun, Hejiang, Liu, Junjie, Wei, Shen

“…•Longitudinal behavioral data were collected from six apartments, lasting for 136 days.•Window behavior models were developed for residential buildings in…”
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An extended Kalman filter based data-driven method for state of charge estimation of Li-ion batteries Autor Liu, Xingtao, Li, Kun, Wu, Ji, He, Yao, Liu, Xintian

“…Accurate state-of-charge (SOC) estimation, which can effectively prevent battery overcharge and over-discharge, provide accurate driving range and extend…”
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基于ADASYN-XGBoost算法的光伏出力预测研究 Autor 凌煦, 周晓刚, 陈文哲, 符向前, 黄社华

“…TM175; 随着光伏发电大规模并入电网,由此产生的源端可供电量不确定性问题日益突出,精准预测光伏出力,对电网资源优化配置、提升光伏消纳能力起着关键的支撑作用.通过研究影…”
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Study on a prediction of P2P network loan default based on the machine learning LightGBM and XGboost algorithms according to different high dimensional data cleaning Autor Ma, Xiaojun, Sha, Jinglan, Wang, Dehua, Yu, Yuanbo, Yang, Qian, Niu, Xueqi

“…•This study uses the new machine learning algorithms to predict the default risk.•Two different ways to clean too many variables and missing values…”
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Optimization and prediction in the early design stage of office buildings using genetic and XGBoost algorithms Autor Yan, Hainan, Yan, Ke, Ji, Guohua

“…Incorporating intelligent optimization algorithms in the early stages of office building design facilitates a better response to the local climate. The indoor…”
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The potential of machine learning to predict melting response time of phase change materials in triplex-tube latent thermal energy storage systems Autor Yan, Peiliang, Wen, Chuang, Ding, Hongbing, Wang, Xuehui, Yang, Yan

“…Accurate prediction of the melting response time is vital for optimizing thermal energy storage systems, which play a key role in addressing the temporal…”
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Classification of earthquakes, explosions and mining-induced earthquakes based on XGBoost algorithm Autor Wang, Tingting, Bian, Yinju, Zhang, Yixiao, Hou, Xiaolin

“…The classification of low-magnitude tectonic earthquakes, explosions and mining-induced earthquakes is an important task in regional earthquake monitoring…”
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Faulty feeder detection method for SLG faults in distribution networks based on comprehensive fault characteristics across entire frequency spectrum Autor Yuan, Jiawei, Hu, Yanjie, Jiao, Zaibin

“…•The entire-frequency-domain fault characteristics is extracted.•The detection scheme is constructed by the combination of fault characteristics.•A XGBoost…”
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Corporate ESG rating prediction based on XGBoost-SHAP interpretable machine learning model Autor Zhang, Jianfeng, Zhao, Zexin

“…The prediction of corporate ESG ratings is of paramount importance in augmenting the scientific rigor and precision of ESG investment decisions and steering…”
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Tool wear state recognition and prediction method based on laplacian eigenmap with ensemble learning model Autor Xie, Yang, Gao, Shangshang, Zhang, Chaoyong, Liu, Jinfeng

“…•A multi-algorithm based features screening and LE features downscaling method is proposed.•For features with high dimensionality, feature filtering and…”
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A new lens on biodiversity assessment: The reliability of high-resolution remote sensing in investigating tree species diversity in old-growth forests Autor Erfanifard, Yousef, Kraszewski, Bartłomiej, Lisiewicz, Maciej, Mielcarek, Miłosz, Czerepko, Janusz, Kuberski, Łukasz, Stereńczak, Krzysztof

“…Describing and monitoring biodiversity in complex ecosystems is crucial for conservation and sustainable forest management. This study investigates the…”
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A Short-Term Wind Power Forecast Method via XGBoost Hyper-Parameters Optimization Autor Xiong, Xiong, Guo, Xiaojie, Zeng, Pingliang, Zou, Ruiling, Wang, Xiaolong

“…The improvement of wind power prediction accuracy is beneficial to the effective utilization of wind energy. An improved XGBoost algorithm via Bayesian…”
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Fuel flow prediction of domestic civil aircraft based on LSTM-XGBoost Autor YANG Junli, LI Likun, QIAN Yu, TANG Shengxiang, YANG Peida

“…The neural network model is widely used in fuel consumption prediction，but single model is less used in the application of civil aircraft because of its low…”
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Short-term urban rail transit passenger flow forecasting based on fusion model methods using univariate time series Autor Chuwang, Dung David, Chen, Weiya, Zhong, Ming

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Research on Data Mining of Network Security Hazards Based on Machine Learning Algorithms Autor Wu, Liwan, Yang, Chong

“…With the development and progress of science and technology, an excellent algorithm for data mining of network security hazards is sought, which can…”
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