Revisiting N-CNN for Clinical Practice

Autor: Ferreira, Leonardo Antunes, Carlini, Lucas Pereira, Coutrin, Gabriel de Almeida Sá, Heideirich, Tatiany Marcondes, Barros, Marina Carvalho de Moraes, Guinsburg, Ruth, Thomaz, Carlos Eduardo

This paper revisits the Neonatal Convolutional Neural Network (N-CNN) by optimizing its hyperparameters and evaluating how they affect its classification metrics, explainability and reliability, discussing their potential impact in clinical practice.

Externí odkaz: http://arxiv.org/abs/2308.05877

Efecto de las profundidades de riego sobre la productividad de la remolacha cultivada en Alto São Francisco, Minas Gerais

Autor: Ferreira, Leonardo Antunes, Tormen, Gislaine Pacheco, Silva, Synara, Silva, Sylmara, Gonçalves, Luciano Donizete, Campos, Diogo Santos

Publikováno v: Research, Society and Development; Vol. 10 No. 8; e18010817228
Research, Society and Development; Vol. 10 Núm. 8; e18010817228
Research, Society and Development; v. 10 n. 8; e18010817228
Research, Society and Development
Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI

The productive arrangements of sugar beet (Beta vulgaris L.) cultivated under irrigation systems neglect techniques that quantify the real water requirement of the crop. Thus, the objective of this work was to investigate whether irrigation depths in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3056::aae98e15ea57f52ebe31973ef59b66ea
https://rsdjournal.org/index.php/rsd/article/view/17228