Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Suzanne is a content marketer, writer, and ...
Abstract: Deep unrolling architectures have revitalized compressive sensing (CS) by seamlessly blending deep neural networks with traditional optimization-based reconstruction algorithms. In pursuit ...
What is a Structural Topic Model? A Structural Topic Model is a general framework for topic modeling with document-level covariate information, which can improve inference and qualitative ...
Abstract: The essence of connection in vehicle network is the social relationship between people, and thus Vehicular Social Networks (VSNs), characterized by social aspects and features, can be formed ...
The formation of apocarotenoids by carotenoid cleavage dioxygenases (CCDs) is a critical process for several biological signaling systems. However, the active site determinants directing CCDs to ...
Statistical machine learning methods are increasingly used for neuroimaging data analysis. Their main virtue is their ability to model high-dimensional datasets, e.g., multivariate analysis of ...
PTPMT1 (PTP localized to the Mitochondrion 1) is a member of the protein tyrosine phosphatase superfamily that is localized exclusively to the mitochondrion. We recently reported that PTPMT1 ...
Ni–Ti is one of the most popular shape-memory alloys, a phenomenon resulting from a martensitic transformation. Commercial Ni–Ti-based alloys are often thermally treated to contain Ni 4 Ti 3 ...
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