… The five inputs that we have used in the proposed smartcity IoT application are temperature … MF has five variables for the output, which is the probability of a smartcity environment: very …
… from datafusion and IoT, autonomous vehicles, deep learning for datafusion and smartcities, are … In this section, we will focus first on recent application trends where datafusion can be …
… this study is to provide more detailed insights into smartcities … learning and information fusion in smartcities papers shows a … in smartcityapplications, including data analytics, sensor …
… in smartcityapplication deployments. A number of such smartcityapplications depend on sensorfusion capabilities in the cloud from diverse data sources. The authors introduce the …
… We review the datafusion methods in three typical application domains (ie, … We provide a detailed survey on existing datafusion methods applied in three main IoT application domains …
E Ramaraj, D Indira - 2021 Third International Conference on …, 2021 - ieeexplore.ieee.org
… DataFusion is useful to make smartcity 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 …
C Mao, Z Wang, A Yue, H Liu, W Peng - Ecological Indicators, 2023 - Elsevier
… The document specifies the application areas of smartcities from the perspective of … On this basis, this study defines such a smartcity as follows: taking new-generation information …
… datafusion in this paper may be useful for big data and smartcityapplications, such as medical datafusion [65] Conducted C/C++ model experiments and a simulated data leakage …
… , we first survey the literature on datafusionapplication in … -of-the-art ICMMS with datafusion as a major platform enabler. … datafusion literature in recent years in the field of smartcities. …