… of the data fusion to evaluate the smart city applications. … to evaluate selected applications
in each domain of the smart city. We … future direction and challenges of data fusion integration. …

… The five inputs that we have used in the proposed smart city IoT application are temperature
… MF has five variables for the output, which is the probability of a smart city environment: very …

… from data fusion and IoT, autonomous vehicles, deep learning for data fusion and smart cities,
are … In this section, we will focus first on recent application trends where data fusion can be …

… this study is to provide more detailed insights into smart cities … learning and information
fusion in smart cities papers shows a … in smart city applications, including data analytics, sensor …

… in smart city application deployments. A number of such smart city applications depend on
sensor fusion capabilities in the cloud from diverse data sources. The authors introduce the …

… We review the data fusion methods in three typical application domains (ie, … We provide a
detailed survey on existing data fusion methods applied in three main IoT application domains …

… Data Fusion is useful to make smart city because so many sensors are used to build smart
city these sensors give good results when we apply fusion algorithms, in this paper we have …

… The document specifies the application areas of smart cities from the perspective of … On
this basis, this study defines such a smart city as follows: taking new-generation information …

… 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 …

… , we first survey the literature on data fusion application in … -of-the-art ICMMS with data fusion
as a major platform enabler. … data fusion literature in recent years in the field of smart cities. …