Abstract: The accuracy of skeleton-based action recognition models can be significantly improved using data processing techniques, particularly in complicated environments such as retail stores where ...

Python has become the go-to language for data science thanks to its simplicity, flexibility, and massive library ecosystem. From data preprocessing to creating visualizations and building predictive ...

Abstract: To minimize its idle time automated guided vehicle (AGV) is an important task of predicting its battery discharge. This is important for increasing the efficiency of resource use and ...

Python has become the go-to language for data science thanks to its simplicity, versatility, and massive library ecosystem. From cleaning messy datasets to building advanced machine learning models, ...

This repo contains Python code to generate the global dataset of factor returns, stock returns, and firm characteristics from “Is there a Replication Crisis in Finance?” by Jensen, Kelly, and Pedersen ...

CASREL is a machine learning framework that infers RBP–alternative splicing regulatory networks de novo from single-cell RNA sequencing data, free of prior RBP–RNA binding annotations. By leveraging ...

Grass-roots initiatives such as the 1000 Functional Connectomes Project (FCP) and International Neuroimaging Data- sharing Initiative (INDI) [1] are successfully amassing and sharing large-scale brain ...