Searched for: subject%3A%22Missing%255C+data%22
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document
Büthker, Wouter (author)
Due to the increasing popularity of various types of sensors in traffic management, it has become significantly easier to collect data on traffic flow. However, the integrity of these data sets is often compromised due to missing values resulting from sensor failures, communication errors, and other malfunctions. This study investigates the...
bachelor thesis 2023
document
Dirkx, Nic (author), Tiels, Koen (author), Oomen, T.A.E. (author)
Frequency response function (FRF) estimation from measured data is an essential step in the design, control, and analysis of complex dynamical systems, including thermal and motion systems. Especially for systems that require long measurement time, missing samples in the data record, e.g., due to measurement interruptions, often occur. The...
journal article 2023
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Dirkx, Nic (author), Tiels, Koen (author), Oomen, T.A.E. (author)
Frequency Response Matrix (FRM) estimation from measured data is an important step towards the control of complex systems, including motion and thermal systems. Missing samples in the measured data records, e.g., due to sensor failure or faulty data transmission, often occur. In this paper, a method is presented for the nonparametric FRM...
journal article 2023
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Dijkstra, Sjoerd (author)
Improving data quality is of the utmost importance for any data-driven company, as data quality is unmistakably tied to business analytics and processes. One method to improve upon data quality is to restore missing and wrong data entries.  </p><p class="MsoNormal">The goal of this research is construct an algorithm such...
master thesis 2022
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Gedik, E. (author), Olenick, Jeffrey (author), Chang, Chu-Hsiang (author), Kozlowski, Steve W.J. (author), Hung, H.S. (author)
Space exploration is evolving with the recent increase in interest and investment. For the success of planned long-duration crewed missions, good interpersonal interactions between crew members are crucial. In this study, we evaluate the use of wearables for detection and estimation of the quality of each social interaction participants have...
journal article 2022
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Joseph, G. (author), Varshney, Pramod K. (author)
In this paper, we consider the problem of estimating the states of a linear dynamical system whose inputs are jointly sparse and outputs at a few unknown time instants are missing. We model the missing data mechanism using a Markov chain with two states representing the missing and non-missing data. This mechanism with memory governed by the...
conference paper 2022
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Dirkx, Nic (author), Tiels, Koen (author), Oomen, T.A.E. (author)
Frequency Response Function (FRF) identification plays a crucial role in the design, the control, and the analysis of complex dynamical systems, including thermal and motion systems. Especially for applications that require long measurements, missing data samples, e.g., due to interruptions in the data transmission or sensor failure, often...
journal article 2022
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Kim, K. (author), KIM, K.J. (author)
Background: A lifelogs-based wellness index (LWI) is a function for calculating wellness scores based on health behavior lifelogs (eg, daily walking steps and sleep times collected via a smartwatch). A wellness score intuitively shows the users of smart wellness services the overall condition of their health behaviors. LWI development...
journal article 2020
document
Arias Hidalgo, M.E. (author)
Traditionally, wetlands were considered separately from river basin systems. However, nowadays an integrated approach is becoming common practice in wetland-riverine watershed analysis and management. Such overall wetland management approach implies not only an adequate representation of relevant bio-physical parameters, but also of socio...
doctoral thesis 2012
Searched for: subject%3A%22Missing%255C+data%22
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