… In this work, we extend the applicability of the COS method to the situation where only data
(… the COS method is found in the fact that the data-driven PDF appears as a cosine series …

… In this paper, we describe a new method for creating and validating personas, based on the
… method of creating data-driven personas provides several benefits over traditional methods. …

… the name “datadriven” in our method. The … data-driven basis and the search for the sparsest
decomposition over this highly redundant basis make our time–frequency analysis method …

… methods [3]. The knowledge-based methods, which are also named as data-driven methods,
… The related works described in this section contain the datadriven fault diagnosis method …

… data-driven, relying on data analytics and machine learning algorithms. In this work, we focus
on the data-driven methods … indicates the phase that is triggered by data-driven, (near) real-…

… data, applying data-driven methods, and … data-driven prediction techniques, and to
extract physical insights into the events that lead to failure by incorporating physics into data-driven …

… This book is about the growing intersection of data-driven methods, machine learning,
applied optimization, and the classical fields of engineering mathematics and mathematical …

… data-driven computing method is proposed. We provide a mathematical view on data-driven …
The notion of function spaces is introduced into a data-driven boundary value problem and …

… the basic data-driven methods. In this paper, widely applied data-driven methodologies
suggested in … The major task of this paper is to sketch a basic data-driven design framework with …

… Accordingly, we concentrate on data-driven methods in the PdM and present a related …
understanding of the data-driven PdM, as well as the research status, methods, and effect of …