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The BDiG-PELD architecture incorporates simple, yet effective, decentralized input interfaces for handling heterogeneous data from these unstructured sources.
In the last decade, application of quantitative approaches such as multi-criteria decision making techniques in land suitability procedures has increased, which allows handling heterogeneous data.
Another problem highlighted by [ 12] is the difficulty of handling heterogeneous data sources like laboratory results, doctors' appointments, and also the absence of DW to consolidate data.
Such a functional annotation step requires combining various pieces of knowledge and correctly handling heterogeneous data stored in various databases that are either local sources or distributed sources on the web.
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Furthermore, NNs allow to handle heterogeneous data in an easy way.
The technique encapsulates the particle data, ancillary data, and metadata into abstract objects in a common framework to handle heterogeneous data sources.
We first introduce formal definitions of time (allowing to deal uniformly with both continuous and discrete times) and data (allowing to handle heterogeneous data), and introduce a generic synchronization mechanism for dataflows.
Thus, a biobank scenario is an ideal test-bed for a metadata model designed to handle heterogeneous data for integration purposes.
Our harmonic volumetric mapping paradigm is therefore more effective for practical shape modeling applications and can handle heterogeneous volumetric data.
In contrast to using existing de novo, alignment-based, or reference-guided assembly methods for generating personal genomic sequences, SHEAR is able to handle heterogeneous sequencing data, has a better ability to detect tandem duplication events, and offers improved computational efficiency by focusing on known variant regions and reducing repetitive operations in concordant regions.
Joint classification and regression can be regarded as a learning paradigm for handling heterogeneous tasks.
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