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 ...
With the rapid expansion of the new energy vehicle (NEV) market, charging and battery swapping have emerged as the two ...
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 ...
If you want to break into data science, a portfolio of completed projects is your most powerful asset. From analyzing Titanic passenger data to creating interactive dashboards, beginner-friendly ...
This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...
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 ...
This repository contains the official implementation for the paper "Alignment Between Brains and AI: Evidence for Convergent Evolution Across Modalities, Scales and Training Trajectories". Our study ...
Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).
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 ...
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