Abstract: Real-time object detection is one of the most important research topics in computer vision. As new approaches regarding architecture optimization and training optimization are continually ...
This work introduces a model-agnostic framework for training and inference to enable accurate partial differential equation solving (down to double precision) for problems with arbitrary sizes and ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Accurate interaction energies can be obtained using high-level quantum chemical ...
QuatIca was inspired by the pioneering work in quaternion linear algebra, particularly the QTFM (Quaternion Toolbox for MATLAB) developed by Stephen J. Sangwine and Nicolas Le Bihan. Their ...
Data-mining of single-cell RNA sequencing (scRNA-seq) is often transformed into learning of lower-dimensional embedding (Becht et al., 2019; Haghverdi et al., 2015; Maaten and Hinton, 2008) of the ...
College of Mathematical and Statistics, Sichuan University of Science and Engineering, Zigong, China. With the rapid development of the global economy and the acceleration of urbanization, ...
Temporal text data, such as news articles or Twitter feeds, often comprises a mixture of long-lasting trends and transient topics. Effective topic modeling strategies should detect both types and ...
This repository provides a python package for SSVEP datasets and recognition algorithms. The goal of this toolbox is to make researchers be familier with SSVEP signals and related recognition ...
Blood-brain barrier (BBB) is a major barrier to drug delivery into the brain in the treatment of central nervous system (CNS) diseases. Blood-brain barrier penetrating peptides (BBPs), a class of ...
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