Now showing items 1-10 of 69
Sensitivity and generalized analytical sensitivity expressions for quantitative analysis using convolutional neural networks
(Elsevier Science, 2022-05)
In recent years, convolutional neural networks and deep neural networks have been used extensively in various fields of analytical chemistry. The use of these models for calibration tasks has been highly effective; however, ...
Efficient Breast Cancer Classification Using Histopathological Images and a Simple VGG
(Instituto de Informática - Universidade Federal do Rio Grande do Sul, 2022)
Comparison of Classical Computer Vision vs. Convolutional Neural Networks for Weed Mapping in Aerial Images
(Instituto de Informática - Universidade Federal do Rio Grande do Sul, 2020)
Body condition estimation on cows from depth images using Convolutional Neural Networks
BCS (“Body Condition Score”) is a method used to estimate body fat reserves and accumulated energy balance of cows. BCS heavily influences milk production, reproduction, and health of cows. Therefore, it is important to ...
From chemical structure to quantitative polymer properties prediction through convolutional neural networks
In this work convolutional-fully connected neural networks were designed and trained to predict the glass transition temperature of polymers based only on their chemical structure. This approach has shown to successfully ...
People counting using visible and infrared images
(Elsevier Science, 2021-08)
We propose the use of convolutional neural networks (CNN) for counting and positioning people given aerial shots of visible and infrared images. Our data set is entirely made of semi-artificial images created from real ...
Estimating body condition score in dairy cows from depth images using convolutional neural networks, transfer learning and model ensembling techniques
(Molecular Diversity Preservation International, 2019-02)
BCS (Body Condition Score) is a method to estimate body fat reserves and accumulated energy balance of cows, placing estimations (or BCS values) in a scale of 1 to 5. Periodically rating BCS of dairy cows is very important ...
Early detection of peritoneal dialysis complications through convolutional neural networks
(Sociedad Argentina de Bioingeniería, 2020-05)
La diálisis peritoneal es una alternativa para pacientes con insuficiencia renal crónica, que requiere el análisis periódico del líquido resultante para la detección precoz de complicaciones. Dicho análisis implica la ...