… reviews the most popular methods and techniques for performing data/information fusion.
To determine whether the application of data/information fusion methods is feasible, we must …

… Ongoing studies on Data Fusion (DF) have produced … This paper reviews the implementation
of DF methods in ITS … is to review DF methods used for real-time and multi-sensor (…

… information about system behavior. This paper reviews recent developments in data fusion
techniques … of current methods and challenges in SHM are presented, and future trends in …

… data fusion. In this paper, we provide a comprehensive survey on data fusion methods based
… We first offer a detailed introduction to the background of data fusion and machine learning …

… Studies on Data Fusion (DF) have delivered significant enhancements in … review on recent
data fusion methods and extracts the main issues and challenges of using these techniques …

… Sensor fusion applications such as intention detection have … presents a review of existing
sensor fusion methods for wearable … Fusion methods are first presented as applied to individual …

… fusion, which has been growing rapidly in the NDE community in recent years. This paper
reviews the progress in NDE data fusion techniques and examines the mathematical fusion …

… in individual source data. Although demonstrated for more than two decades, data fusion
(DF) is … Data fusion techniques applied to date include Bayesian inference, Dempster-Shafer …

… research on multisensor data fusion technology, driven by its … review of recent developments
in the data fusion domain. This paper proposes a comprehensive review of the data fusion …

… data fusion, sometimes paying too much attention to the algorithms instead. This manuscript
explains data fusion from the structure of the different data … to the nature of the data and the …