… Namely, existing privacy-preserving data fusion … data that are common in practical smart
city applications. Motivated by this fact, a privacy-aware and accurate cross-platform data fusion …

… This paper presents a data fusion-based model to efficiently control the traffic in smart cities
… fusion technique and its applications, and the type of data it can process. Section 4 presents …

… developers to make the IoT sensors and protocols generated data interoperable. In this …
in smart city applications to achieve IoT semantic data integration in a comprehensive survey …

… data fusion in this paper may be useful for big data and smart city applications, such as
medical data fusion [65] Conducted C/C++ model experiments and a simulated data leakage …

… Application-level integration, as the title suggests, explores the potential joint application
of … been jointly used in a variety of applications related to the smart city, such as building-level …

… in real-time and from multiple sources, which imposes additional research and application
challenges. Ongoing studies on Data Fusion (DF) have produced significant improvement in …

… [19], but the application of DNN data fusion method to urban … application of DNN in urban
big data feature representation makes a good breakthrough in feature-level-based data fusion…

… , autonomous driving, smart homes, smart transportation, smart cities and other technologies,
… This paper introduces the principle and application of typical information fusion methods. …

… and applications. Therefore, we present a survey of smart city initiatives and analyze their
key concepts and different data management techniques. We performed a detailed literature …

… This paper aims to review and analyze current practices of data-driven smart applications …
is a major strategic component of smart cities, and smart city projects have illustrated a strong …