Adv Math & Comp Tool Metrol XIII (高級數學與計算工具:Metrol XIII)

Franco Pavese, Alen Bosnjakovic Sascha

  • 出版商: World Scientific Pub
  • 出版日期: 2024-12-15
  • 售價: $5,470
  • 貴賓價: 9.5$5,197
  • 語言: 英文
  • 頁數: 368
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 9819800668
  • ISBN-13: 9789819800667
  • 海外代購書籍(需單獨結帳)

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商品描述

This volume contains original, refereed contributions by researchers from national metrology institutes, universities and laboratories across the world involved in metrology and testing. The volume has been produced by the International Measurement Confederation (IMEKO) Technical Committee 21, Mathematical Tools for Measurements, in association with IMEKO Technical Committee 6, Digitalisation, and the European Network for Mathematics and Statistics for Metrology, following presentations made at the Advanced Mathematical and Computational Tools in Metrology online conference, hosted by the Institute of Metrology of Bosnia and Herzegovina, Sarajevo, in September 2023. The volume covers the application of novel mathematical and statistical modelling techniques and data analysis and machine learning approaches to metrology and measurement science, uncertainty quantification, and knowledge representation and reasoning to enable the digitalization of metrological services.This volume is of interest to all researchers, data scientists, engineers and practitioners who need to characterize the capabilities of measurement systems, evaluate measurement data, quantify uncertainties and make inferences and decisions based on models and data. It will also be of interest to those working in the quality infrastructure concerned with the reliability, transparency, trustworthiness and reproducibility of data, data analytics, machine learning and AI, in engineering, physical, environmental and the life sciences.

商品描述(中文翻譯)

本卷包含來自全球各國計量研究所、大學及實驗室的研究者所撰寫的原創、經審核的貢獻。該卷由國際計量聯合會(IMEKO)技術委員會21,即數學工具在計量中的應用,與IMEKO技術委員會6,即數位化,以及歐洲計量數學與統計網絡共同製作,基於2023年9月在波士尼亞與赫塞哥維納薩拉熱窩舉辦的高級數學與計算工具在計量中的線上會議所做的報告。本卷涵蓋了新穎的數學和統計建模技術、數據分析及機器學習方法在計量和測量科學、誤差量化,以及知識表示和推理中的應用,以促進計量服務的數位化。本卷對所有需要表徵測量系統能力、評估測量數據、量化不確定性並根據模型和數據進行推斷和決策的研究者、數據科學家、工程師和實務工作者均具有興趣。對於那些在質量基礎設施中工作,關注數據的可靠性、透明度、可信度和可重複性,以及數據分析、機器學習和人工智慧在工程、物理、環境及生命科學中的應用的人士,本卷也將引起他們的興趣。