Forecasting COVID-19 pandemic: Unknown unknowns and predictive monitoring
Sign Up to like & getrecommendations! Published in 2021 at "Technological Forecasting and Social Change"
DOI: 10.1016/j.techfore.2021.120602
Abstract: During the current COVID-19 pandemic, there have been many efforts to forecast infection cases, deaths, and courses of development, using a variety of mechanistic, statistical, or time-series models. Some forecasts have influenced policies in some… read more here.
Keywords: forecasting covid; unknown unknowns; predictive monitoring; covid pandemic ... See more keywords
New Dynamic Predictive Monitoring Schemes Based on Dynamic Latent Variable Models
Sign Up to like & getrecommendations! Published in 2020 at "Industrial & Engineering Chemistry Research"
DOI: 10.1021/acs.iecr.9b04741
Abstract: In this paper, dynamic predictive monitoring schemes based on dynamic latent variable models are proposed. We consider the most typical case in industrial data where dynamics usually exist in a red... read more here.
Keywords: based dynamic; dynamic latent; schemes based; predictive monitoring ... See more keywords
In-Line Predictive Monitoring Framework
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Automation Science and Engineering"
DOI: 10.1109/tase.2020.3014177
Abstract: Process monitoring, which is used to ensure the product quality in semiconductor manufacturing, develops a control chart and alerts engineers whenever a control limit is exceeded. However, a late alarm could generate defects or scraps,… read more here.
Keywords: line; equipment; framework; predictive monitoring ... See more keywords
Predictive monitoring of actions, EEG recordings in virtual reality.
Sign Up to like & getrecommendations! Published in 2018 at "Journal of neurophysiology"
DOI: 10.1152/jn.00825.2017
Abstract: Error-related negativity (ERN) is a signal that is associated with error detection. Joch and colleagues (Joch M, Hegele M, Maurer H, Müller H, Maurer LK. J Neurophysiol 118: 486-495, 2017) successfully separated the ERN as… read more here.
Keywords: monitoring actions; predictive monitoring; actions eeg; reality ... See more keywords
Performance-preserving event log sampling for predictive monitoring
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Intelligent Information Systems"
DOI: 10.48550/arxiv.2301.07624
Abstract: Predictive process monitoring is a subfield of process mining that aims to estimate case or event features for running process instances. Such predictions are of significant interest to the process stakeholders. However, most of the… read more here.
Keywords: preserving event; process; performance preserving; predictive monitoring ... See more keywords