Pulmonary COVID-19: learning spatiotemporal features combining CNN and LSTM networks for lung ultrasound video classification

B Barros, P Lacerda, C Albuquerque, A Conci - Sensors, 2021 - mdpi.com
Deep Learning is a very active and important area for building Computer-Aided Diagnosis
(CAD) applications. This work aims to present a hybrid model to classify lung ultrasound …

Feature extraction and selection from electroencephalogram signals for epileptic seizure diagnosis

DL de Vargas, JT Oliva, M Teixeira… - Neural Computing and …, 2023 - Springer
Epilepsy is one of the most common neurological diseases, affecting approximately 50
million people. This illness can be diagnosed by electroencephalogram (EEG), whose …

[HTML][HTML] Challenges of the Biopharmaceutical Industry in the Application of Prescriptive Maintenance in the Industry 4.0 Context: A Comprehensive Literature Review

JN de Carvalho, FR da Silva… - Sensors (Basel …, 2024 - pmc.ncbi.nlm.nih.gov
The biopharmaceutical industry has specificities related to the optimization of its processes,
the effectiveness of the maintenance of the productive park in the face of regulatory …

Identification of significative LiDAR metrics and comparison of machine learning approaches for estimating stand and diversity variables in heterogeneous brazilian …

RP Martins-Neto, AMG Tommaselli, NN Imai… - Remote Sensing, 2021 - mdpi.com
Data collection and estimation of variables that describe the structure of tropical forests,
diversity, and richness of tree species are challenging tasks. Light detection and ranging …

[HTML][HTML] An intelligent and generic approach for detecting human emotions: a case study with facial expressions

LY Mano, BS Faiçal, VP Gonçalves, G Pessin… - Soft Computing, 2020 - Springer
Several studies in the field of human–computer interaction have focused on the importance
of emotional factors related to the interaction of humans with computer systems. According to …

A Data-Driven Soft Sensor for Mass Flow Estimation

SGA Sobreira, PH Gomes… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Transporting iron ore by conveyor belts is widely used in the mining industry. The
measurement of the mass flow of ore is essential for equipment protection purposes …

Legal actions in Brazilian air transport: A machine learning and multinomial logistic regression analysis

GO Torres, MX Guterres, VRR Celestino - Frontiers in Future …, 2023 - frontiersin.org
In Brazil, one of the most harmful costs for airlines is the number of lawsuits filed against
them. It is a problem that can affect its operations, reduce the entry of new competitors and …

Machine Learning-Based Time Series Prediction at Brazilian Stocks Exchange

AP dos Santos Gularte, DGG Filho… - Computational …, 2023 - Springer
This study proposes a novel method for forecasting the returns of assets comprising the
Ibovespa from January 1, 2016, to December 30, 2020, by integrating machine learning …

Is there Gender bias and stereotype in Portuguese Word Embeddings?

BS Santana, V Woloszyn, LK Wives - arXiv preprint arXiv:1810.04528, 2018 - arxiv.org
In this work, we propose an analysis of the presence of gender bias associated with
professions in Portuguese word embeddings. The objective of this work is to study gender …

Classificação de sinais fisiológicos para inferência do estado emocional de usuários

IE Souza - 2019 - repositorio.ufscar.br
RESUMO O estado emocional tem papel fundamental para explicar o comportamento
humano no cotidiano, influenciando em decisões e até mesmo na forma de se comunicar …