Most visual recognition studies rely heavily on crowd-labelled data in deep neural networks (DNNs) training, and they usually train a DNN for each single visual recognition task, leading to a ...

In this study, we focused on the modeling of bowing behaviors. A distinctive aspect of our study is its consideration of failure severity, since we hypothesized that apology behaviors vary with the ...

Ecological modelling articles from across Nature Portfolio Ecological modelling is the construction and analysis of mathematical models of ecological processes, including both purely biological ...

Objective The aim of this study was to estimate the total national direct cost of breast cancer screening from 2019 to 2022 and project the total national cost and average lifetime cost of screening ...