Abstract: This article presents a data-driven probabilistic framework for estimating missing values in multivariate and time-varying interdependent IoT data streams during reefer container monitoring.
ABSTRACT: The purpose of this study was to identify factors influencing the adjustment of Korean children who live in the U.S. Specifically, this study examined the following predictor variables: ...
Abstract: We systematically review the data-driven innovation (DDI) literature spanning 2009–2022, analyzing key studies, assessing the current state of DDI research in information systems and ...