Special Collection on Uncertainty Quantification for Machine Learning in Engineering (SC062A)

Submit Paper » Background Understanding the data and reaching accurate conclusions are of paramount importance in the present era of Big Data. Machine learning has been widely used in academia and industry to analyze voluminous and intricate datasets to uncover hidden patterns and reach incisive insights. Whilst machine learning approaches have extraordinary potential and are increasingly employed to aid in various complicated tasks, their results are not wholly reliable due to the challenges introduced by data uncertainty (aleatory uncertainty) and model uncertainty (epistemic uncertainty)....

July 31, 2023 · 3 min · 559 words · Torsten Ilsemann

Special Issue on Uncertainty-Aware Diagnostics and Prognostics for Health Monitoring and Risk Management of Engineered Systems (SI061B)

Submit Paper » In recent decades, fault diagnostics and failure prognostics have demonstrated their great potential for health monitoring and risk management of complex engineering systems, including smart factories, power plants, space systems, and heavy equipment. The credibility and applicability of fault diagnostics and failure prognostics, however, are significantly affected by various uncertainties, such as model uncertainty, data uncertainty, process uncertainty, environmental uncertainty, and the inherent uncertainty of engineered systems....

July 18, 2023 · 3 min · 460 words · Torsten Ilsemann

Special Collection on Non-Deterministic Model Updating and Structural Health Monitoring for Existing Structures (SC059A)

Please find attached the Call for Papers for the Special Collection on Non-Deterministic Model Updating and Structural Health Monitoring for Existing Structures. Click to download the CFP Submit Paper » Guest Editors Masaru Kitahara, Assistant Professor, Department of Civil Engineering, The University of Tokyo, kitahara@bridge.t.u-tokyo.ac.jp Sifeng Bi, Lecturer, Department of Mechanical and Aerospace Engineering, University of Strathclyde, sifeng.bi@strath.ac.uk Matteo Broggi, Deputy Head, Institute for Risk and Reliability, Leibniz University Hannover, broggi@irz....

January 18, 2023 · 3 min · 435 words · Torsten Ilsemann

Special Collection on Resilience of Power Infrastructure System (SC058A)

Please find attached the Call for Papers for the Special Collection on Resilience of Power Infrastructure System. Click to download the CFP Guest Editors Wei Zhang, Associate Professor, University of Connecticut, wzhang@uconn.edu Ge (Gaby) Ou, Assistant Professor, University of Florida, gaby.ou@essie.ufl.edu Youngjib Ham, Associate Professor, Texas A&M University, yham@tamu.edu Zongjie Wang, Assistant Professor, University of Connecticut, zongjie.wang@uconn.edu Aims & Scope Extreme weather events, such as hurricanes, droughts, and flooding, are expected to be more “common” under a more variable climate system....

January 17, 2023 · 1 min · 211 words · Torsten Ilsemann

Special Collection on New Technologies in Risk Assessment of Maritime Transport (SC057A)

Please find attached the Call for Papers for the Special Collection on New Technologies in Risk Assessment of Maritime Transport. Click to download the CFP Guest Editors Qing Yu, Jimei University, China, qing.yu@jmu.edu.cn Jakub Montewka, Gdansk University of Technology, jakub.montewka@pg.edu.pl Floris Goerlandt, Dalhousie University, Canada, floris.goerlandt@dal.ca Chengpeng Wan, Wuhan University of Technology, Wuhan, China, cpwan@whut.edu.cn Zhisen Yang, Shenzhen Technology University, Shenzhen, China, yangzhisen@sztu.edu.cn Zaili Yang, Liverpool John Moores University, UK, z....

January 16, 2023 · 2 min · 285 words · Torsten Ilsemann
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