In this paper, we propose a Multi-Level Pre-training for Encrypted Traffic Classification (MLETC) model. This model applies two pre-training strategies that consider multi-level traffic ...

Characterization of intracellular synapse heterogeneity aides to understand the intricate computational logic of neuronal circuits. Despite recent advances in connectomics, the spatial patterns of ...

Chart.js Box Plots and Violin Plot Charts. Contribute to sgratzl/chartjs-chart-boxplot development by creating an account on GitHub.

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

bot de música programado em python com player interativo, suporte a multi-bot, comandos barra/slash, integração com last.fm e muito mais.

Self-supervised learning (SSL) reduces the need for manual annotation in deep learning models for medical image analysis. By learning the representations from unablelled data, self-supervised models ...

Aim This study evaluates if characteristics (eg, location, size, volume) of clusters of defects on an initial visual field ...

A four-year, mixed-family and community-based growth monitoring and promotion program using multi-level modeling to address undernutrition in children in Cambodia ...