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We present an application of a modified Kalman-Filter (KF) framework for data fusion to the estimation of respiratory rate from multiple physiological sources which is robust to background noise.
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Concrete results are: (1) adaptive weighted fusion algorithm for data fusion computing.
For data fusion, the watershed image processing technique was used.
Therefore, their average is a good option for data fusion.
For data fusion, so-called mid-level data fusion architecture was used [ 21].
Lanckriet, G. R. G., Bie, T. D., Cristianini, N., Jordan, M. I. & Noble, W. S. A statistical framework for genomic data fusion.
This study proposes a hospital guardianship and remote care medical system based on a wireless sensor network framework using optimal data fusion based on evidence theory.
This model constituted the framework for data collection and analysis.
The implications of the findings for disaggregating climate model projection and data fusion are discussed.
The Gevaert lab is recruiting graduate students, postdocs and other scientists that are passionate to realize a multi-scale data fusion framework for precision medicine.
This paper presents an integrated design framework to utilize multi-sensor data fusion (MSDF) techniques for process monitoring enhancement to detect and diagnose sensor and process faults.
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