Sentence examples for data fusion methodologies from inspiring English sources

The potential to obtain more accurate forecasts using data fusion methodologies could therefore have significant implications for the design and construction of automated flood forecasting and flood warning systems.

We plan to perform a rigorous off-line evaluation of decision fusion and data fusion methodologies using real multimodal neural data in future work.

This paper describes an analysis system that integrates our previously developed automated data fusion methodology for the geometrically correct reconstruction of coronary arteries from intravascular ultrasound (IVUS) and X-ray angiography with postprocessing and data management modules.

Other research fields in genomics could also benefit from the incorporation of our data fusion methodology.

In this paper, a new data fusion-based methodology is presented for spatio-temporal (S-T) redesigning of Groundwater Level Monitoring Networks (GLMNs).

The proposed decision system, embedded in a humanoid robot evolving in an uncontrolled environment, is based on the collaboration between a fuzzy system and a data multi-sensory fusion methodology.

Our work presented here is similar in spirit to our recently developed methodology for data fusion via collective matrix factorization (Žitnik and Zupan, 2015).

In this work we propose a novel methodology on multimodal data fusion regarding separate datasets.

This paper presents a methodology based on the Bayesian data fusion techniques applied to non-destructive and destructive tests for the structural assessment of historical constructions.

The emphasis of this paper is to design a performance evaluation methodology for Level 1 distributed data fusion processes.

More specifically, a tutorial 10 × 10 CNN model is generated via the proposed methodology for use in a data fusion and control application.