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For the abstract approach, we only consider a general scenario where a generic data receiving decision maker (mathfrak {M}) (e.g., the doctor) sends data to a generic data store (mathfrak {S}) (e.g., the knowledge base).
Peter Christen's book is divided into three parts: Part I, "Overview", introduces the subject by presenting several sample applications and their special challenges, as well as a general overview of a generic data matching process.
A generic data collection component customized to each source system generates events and facilitates JDL level 0 integration.
We develop a generic data acquisition and transmission framework by modularizing the repetitive functions.
It devises a generic data model that utilizes GIS capabilities in spatial modeling and management.
In this paper, a unified interdisciplinary methodology is proposed based on associative feature to have a generic data representation schema.
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To eliminate the dependency of SoC and SoH estimation on battery physical models, this paper presents a generic data-driven approach that integrates an artificial neural network with a dual extended Kalman filter (DEKF) algorithm for lithium-ion battery health management.
Do et al., presented a generic, data-driven network-based approach for structuring and visualizing metabolite correlations within and between multiple body fluids including blood, urine and saliva, enabling unbiased interpretation of metabolomics multifluid data (Do et al., 2015).
peakROTS implemented a generic data-adaptive procedure that allows to optimally adjust the parameters of a given software package to the properties of each ChIP-Seq dataset independently.
In this paper, an extensible database architecture is presented based on a novel generic data model for PQ data.
Unlike these ones, we propose a more generic data warehouse.
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