Abstract Multi-fidelity modeling and calibration are data fusion tasks that ubiquitously arise in engineering design. However, there is currently a lack of general techniques can jointly fuse multiple sets with varying fidelity levels while also estimating parameters. To address this gap, we introduce novel approach that, using latent-map Gaussian processes (LMGPs), converts into latent space l...

This paper provides a comprehensive description of the current literature on data fusion, with an emphasis Information Quality (IQ) and performance evaluation. review highlights recent studies that reveal existing gaps, need to find synergy between fusion IQ, several research issues, challenges pitfalls in this field. First, main models, frameworks, architectures, algorithms, solutions, problem...

In this paper, we propose five data fusion schemes for the Internet of Things (IoT) scenario,which are Relief and Perceptron (Re-P), Relief and Genetic Algorithm Particle Swarm Optimization (Re-GAPSO), Genetic Algorithm and Artificial Neural Network (GA-ANN), Rough and Perceptron (Ro-P)and Rough and GAPSO (Ro-GAPSO). All the schemes consist of four stages, including preprocessingthe data set ba...