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BAYESIAN: 作品数：864被引量：1973H指数：16; 导出分析报告; 相关领域：自动化与计算机技术更多>>; 相关作者：陈阳周源泉方苇谢力陈梦成更多>>; 相关机构：东南大学吉林大学西安交通大学华中科技大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金国家重点基础研究发展计划国家高技术研究发展计划中央高校基本科研业务费专项资金更多>>

Associations of multiple metals exposure with immunoglobulin levels in pregnant women:Hangzhou Birth Cohort Study: 《Journal of Environmental Sciences》2025年第5期560-572,共13页Jiena Zhou Lanfei Jin Yexinyi Zhou Kunhong Zhong Kegui Huang Qi Zhang Jun Tang Xue Zhang Lihe Peng Shuai Li Na Lv Dongdong Yu Qinheng Zhu Jing Guo Qiong Luo Guangdi Chen; supported by the National Natural Science Foundation of China(No.U22A20358);Zhejiang Provincial Program for the Cultivation of High-Level Innovative Health Talents(No.2020-18).; Metal may affect maternal immune function,but few epidemiological studies have reported the associations between multiple-metal exposure and maternal immunoglobulin(Ig)levels.Based on the Hangzhou Birth Cohort Study,1...; 关键词：METALS IMMUNOGLOBULIN Pregnant woman Quantile-based g-computation (QGC) Bayesian kernel machine regression (BKMR)

Interpreting hourly mass concentrations of PM_(2.5)chemical components with an optimal deep-learning model: 《Journal of Environmental Sciences》2025年第5期125-139,共15页Hongyi Li Ting Yang Yiming Du Yining Tan Zifa Wang; supported by the National Key Research and Development Program for Young Scientists of China(No.2022YFC3704000);the National Natural Science Foundation of China(No.42275122);the National Key Scientific and Technological Infrastructure project“Earth System Science Numerical Simulator Facility”(EarthLab).; PM_(2.5)constitutes a complex and diversemixture that significantly impacts the environment,human health,and climate change.However,existing observation and numerical simulation techniques have limitations,such as a l...; 关键词：Pm2.5 chemical composition Hourly mass concentration Deep learning Bayesian optimization Feature importance

Slope stability prediction of circular mode failure by machine learning models based on Bayesian Optimizer: 《Journal of Mountain Science》2025年第4期1482-1498,共17页Mohammad Hossein KADKHODAEI Ebrahim GHASEMI Mohammad Hossein FAZEL; Assessing the stability of slopes is one of the crucial tasks of geotechnical engineering for assessing and managing risks related to natural hazards,directly affecting safety and sustainable development.This study pr...; 关键词：Slope stability Circular failure Machine learning Bayesian optimizer Hybrid models

An Uncertainty Quantization-Based Method for Anti-UAV Detection in Infrared Images: 《Computers, Materials & Continua》2025年第4期1439-1458,共20页Can Wu Wenyi Tang Yunbo Rao Yinjie Chen Hui Ding Shuzhen Zhu Yuanyuan Wang; supported by the Science and Technology Project of Sichuan(Grant No.2024ZHCG0170);the National Key Research and Development Program of China,“Key Technologies for Instrumentation and Control System Program Security Based on Blockchain”(Project No.2024YFB3311000);States Key Laboratory of Air Traffic Management System(Grant No.SKLATM202202);the Chengdu Science and Technology Project(Grant No.2022-YF05-00068-SN).; Infrared unmanned aerial vehicle(UAV)target detection presents significant challenges due to the inter-play between small targets and complex backgrounds.Traditional methods,while effective in controlled environments,...; 关键词：Object segmentation uncertainty quantification bayesian convolutional neural network

Simulation of laser plasma wakefield acceleration with external injection based on Bayesian optimization: 《Plasma Science and Technology》2025年第4期22-29,共8页Jianhua ZHONG Jiabao GUAN Lanxin LIU Guoxing XIA Jike WANG Yuancun NIE; supported by Science and Technology Major Project of Hubei Province in China(No.2021AFB001)。; In laser wakefield acceleration,injecting an external electron beam at a certain energy is a promising approach for achieving a high-quality electron beam with low energy spread and low emittance.In this paper,the pro...; 关键词：laser wakefield acceleration Bayesian optimization external injection high quality electron beam(Some figures may appear in colour only in the online journal)

Integrating Bayesian and Convolution Neural Network for Uncertainty Estimation of Cataract from Fundus Images: 《Computer Modeling in Engineering & Sciences》2025年第4期569-592,共24页Anandhavalli Muniasamy Ashwag Alasmari; Saudi Arabia for funding this work through Small Research Group Project under Grant Number RGP.1/316/45.; The effective and timely diagnosis and treatment of ocular diseases are key to the rapid recovery of patients.Today,the mass disease that needs attention in this context is cataracts.Although deep learning has signifi...; 关键词：Bayesian neural networks(BNNs) convolution neural networks(CNN) Bayesian convolution neural networks(BCNNs) predictive modeling precision medicine uncertainty quantification

基于Bayesian期望改进控制和Kriging模型的并行代理优化方法: 《计算机集成制造系统》2025年第4期1190-1204,共15页杜晨林成龙马义中石雨葳; 国家自然科学基金资助项目(71931006,71871119);江苏省研究生科研与实践创新计划资助项目(KYCX23_0533)。; 针对经典期望改进策略因过于贪婪而易于陷入局部最优,以及Kriging模型十分适用于并行优化的特点,提出了基于Kriging模型和Bayesian期望改进控制的并行代理优化方法。实现过程中,Kriging模型在小样本条件下,建立输入与输出见的近似函数...; 关键词：期望改进策略 Bayesian期望改进控制控制函数 KRIGING模型并行代理优化方法

Performance evaluation of rock fragmentation prediction based on RF-BOA,AdaBoost-BOA,GBoost-BOA,and ERT-BOA hybrid models: 《Deep Underground Science and Engineering》2025年第1期3-17,共15页Junjie Zhao Diyuan Li Jian Zhou Danial JArmaghani Aohui Zhou; National Natural Science Foundation of China,Grant/Award Number:52374153。; Rock fragmentation is an important indicator for assessing the quality of blasting operations.However,accurate prediction of rock fragmentation after blasting is challenging due to the complicated blasting parameters ...; 关键词：Bayesian optimization BLASTING machine learning rock fragmentation

How Does Prior Distribution Affect Model Fit Indices of Bayesian Structural Equation Model?: 《Fudan Journal of the Humanities and Social Sciences》2025年第1期137-173,共37页Yonglin Feng Junhao Pan; supported by the MOE(Ministry of Education)Project of Humanities and Social Science of China[23YJA190007];the Natural Science Foundation of Guangdong Province[2022A1515010367];the Key Research and Development Plan of Yunnan Province,China[202203AC100003].; Bayesian structural equation model(BSEM)integrates the advantages of the Bayesian methods into the framework of structural equation modeling and ensures the identification by assigning priors with small variances.Prev...; 关键词：Prior distribution Bayesian structural equation model Model fit indices Bayesian approximate fit indices Model selection

Bayesian-based Full Waveform Inversion: 《Applied Geophysics》2025年第1期1-11,231,共12页Huai-shan Liu Yu-zhao Lin Lei Xing He-hao Tang Jing-hao Li; National Natural Science Foundation of China under Grant 42276055;National Key Research and Development Program under Grant 2022YFC2803503;Fundamental Research Funds for the Central Universities under Grant 202262008.; Full waveform inversion methods evaluate the properties of subsurface media by minimizing the misfit between synthetic and observed data.However,these methods omit measurement errors and physical assumptions in modeli...; 关键词：INVERSION Bayesian inference theory covariance matrix

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