Abstract: Intensity inhomogeneity remains a pivotal challenge that hampers the diagnostic efficacy of Magnetic Resonance Imaging (MRI). Traditional reference scan methods, while effective in ...
A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.
ABSTRACT: Enterprise application integration encounters substantial hurdles, particularly in intricate contexts that require elevated scalability and speed. Transactional applications directly ...
Abstract: Electroencephalogram (EEG) analysis is a critical tool for diagnosing various neurological disorders. Intelligent EEG models facilitate the analysis and diagnosis of these conditions.
This document has been published in the Federal Register. Use the PDF linked in the document sidebar for the official electronic format.
Shanghai Key Laboratory of Magnetic Resonance, Institute of Magnetic Resonance and Molecular Imaging in Medicine, School of Physics and Electronic Science, East China Normal University, Shanghai ...
Method references are a shorthand way to write lambda expressions that call a single method. Rather than implementing a method in a functional interface, a method reference simply points to an ...
This document has been published in the Federal Register. Use the PDF linked in the document sidebar for the official electronic format.
ABSTRACT: Microservices have revolutionized traditional software architecture. While monolithic designs continue to be common, particularly in legacy applications, there is a growing trend towards the ...
Structural equation modeling (SEM) is a widely used statistical method in social science. However, many published articles employing SEM appear to contradict its underlying principles and assumptions, ...
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