找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: On Spatio-Temporal Data Modelling and Uncertainty Quantification Using Machine Learning and Informat; Fabian Guignard Book 2022 The Editor

[复制链接]
查看: 24797|回复: 43
发表于 2025-3-21 19:20:01 | 显示全部楼层 |阅读模式
书目名称On Spatio-Temporal Data Modelling and Uncertainty Quantification Using Machine Learning and Informat
编辑Fabian Guignard
视频video
概述Follows a comprehensive end-to-end data analysis workflow.Covers concrete applications in environmental modelling and renewable energy assessement.Benefits environmental analysts and researchers worki
丛书名称Springer Theses
图书封面Titlebook: On Spatio-Temporal Data Modelling and Uncertainty Quantification Using Machine Learning and Informat;  Fabian Guignard Book 2022 The Editor
描述.The gathering and storage of data indexed in space and time are experiencing unprecedented growth, demanding for advanced and adapted tools to analyse them. This thesis deals with the exploration and modelling of complex high-frequency and non-stationary spatio-temporal data. It proposes an efficient framework in modelling with machine learning algorithms spatio-temporal fields measured on irregular monitoring networks, accounting for high dimensional input space and large data sets. The uncertainty quantification is enabled by specifying this framework with the extreme learning machine, a particular type of artificial neural network for which analytical results, variance estimation and confidence intervals are developed. Particular attention is also paid to a highly versatile exploratory data analysis tool based on information theory, the Fisher-Shannon analysis, which can be used to assess the complexity of distributional properties of temporal, spatial and spatio-temporal data sets. Examples of the proposed methodologies are concentrated on data from environmental sciences, with an emphasis on wind speed modelling in complex mountainous terrain and the resulting renewable energ
出版日期Book 2022
关键词Machine Learning; Deep Learning; Uncertainty Quantification; Model Variance; Artificial Neural Network; S
版次1
doihttps://doi.org/10.1007/978-3-030-95231-0
isbn_softcover978-3-030-95233-4
isbn_ebook978-3-030-95231-0Series ISSN 2190-5053 Series E-ISSN 2190-5061
issn_series 2190-5053
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

书目名称On Spatio-Temporal Data Modelling and Uncertainty Quantification Using Machine Learning and Informat影响因子(影响力)




书目名称On Spatio-Temporal Data Modelling and Uncertainty Quantification Using Machine Learning and Informat影响因子(影响力)学科排名




书目名称On Spatio-Temporal Data Modelling and Uncertainty Quantification Using Machine Learning and Informat网络公开度




书目名称On Spatio-Temporal Data Modelling and Uncertainty Quantification Using Machine Learning and Informat网络公开度学科排名




书目名称On Spatio-Temporal Data Modelling and Uncertainty Quantification Using Machine Learning and Informat被引频次




书目名称On Spatio-Temporal Data Modelling and Uncertainty Quantification Using Machine Learning and Informat被引频次学科排名




书目名称On Spatio-Temporal Data Modelling and Uncertainty Quantification Using Machine Learning and Informat年度引用




书目名称On Spatio-Temporal Data Modelling and Uncertainty Quantification Using Machine Learning and Informat年度引用学科排名




书目名称On Spatio-Temporal Data Modelling and Uncertainty Quantification Using Machine Learning and Informat读者反馈




书目名称On Spatio-Temporal Data Modelling and Uncertainty Quantification Using Machine Learning and Informat读者反馈学科排名




单选投票, 共有 1 人参与投票
 

0票 0.00%

Perfect with Aesthetics

 

0票 0.00%

Better Implies Difficulty

 

1票 100.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 23:04:42 | 显示全部楼层
发表于 2025-3-22 01:47:52 | 显示全部楼层
Fabian Guignarda’s art and the work of other modern twentieth-century artists, considering its links to Surrealism, Pop Art and the Mexican Muralism Movement. Parra exhibited in open-air art fairs, museums and cultural centre978-3-030-38409-8978-3-030-38407-4
发表于 2025-3-22 04:40:45 | 显示全部楼层
发表于 2025-3-22 12:07:41 | 显示全部楼层
is created by using a three-dimensional (3D)-CT volume analyzer Synapse VINCENT (Fujifilm Co., Tokyo, Japan), which makes surgical simulation of sublobar resection based on bronchial or vascular structures, and the appropriate area of segmentectomy is decided based on surgical margin. Under general
发表于 2025-3-22 15:59:35 | 显示全部楼层
Fabian Guignardtheir accuracy remains variable and somewhat subjective. More recently, fluorescent imaging with indocyanine green (ICG) has shown to objectively identify the potentially ischemic bowel tissue, thereby reducing the rates of failure of anastomosis. Quantitative assessment of the fluorescent perfusion
发表于 2025-3-22 19:51:08 | 显示全部楼层
发表于 2025-3-22 21:41:56 | 显示全部楼层
Fabian Guignardtabilities in the displacement field disappear for three-dimensional examples at large strains. In addition, previously unknown limitations of the enhanced peridynamic correspondence formulation are shown within the numerical examples. These are slight, non-physical, deviations in the deformation fi
发表于 2025-3-23 03:25:52 | 显示全部楼层
Fabian Guignardtabilities in the displacement field disappear for three-dimensional examples at large strains. In addition, previously unknown limitations of the enhanced peridynamic correspondence formulation are shown within the numerical examples. These are slight, non-physical, deviations in the deformation fi
发表于 2025-3-23 05:31:57 | 显示全部楼层
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-2 01:24
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表