Normalization is a process in data management that involves organizing data to reduce redundancy and improve data integrity. The right level of normalization balances the need for data efficiency ...

However, there is a lack of a toolbox for preprocessing complex-valued fMRI data. As such, we design a new MATLAB toolbox named CfMRIPrep to perform this role. CfMRIPrep includes phase unwrapping of ...

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Within T-ELF's arsenal are non-negative matrix and tensor factorization solutions, equipped with automatic model determination (also known as the estimation of latent factors - rank) for accurate data ...

In general, preprocessing involves a sequence of reversible operations that in spite of not providing compression they redistribute the input data to better present redundancy in preparation for the ...

The Cancer Genome Atlas (TCGA) provides comprehensive genomic data across various cancer types. However, complex file naming conventions and the necessity of linking disparate data types to individual ...

Multi-Source Information Fusion, Greenhouse, Navigation, Algorithm Verification, Sensor Fusion Share and Cite: Guo, Z. (2025) ...

The contemporary business landscape is characterized by unprecedented volatility and a relentless demand for agility.