Bug report severity level prediction in open source software: A survey and research opportunities

LAF Gomes, R da Silva Torres, ML Côrtes - Information and software …, 2019 - Elsevier
Context: The severity level attribute of a bug report is considered one of the most critical
variables for planning evolution and maintenance in Free/Libre Open Source Software. This …

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 …

A realistic and public dataset with rare undesirable real events in oil wells

REV Vargas, CJ Munaro, PM Ciarelli… - Journal of Petroleum …, 2019 - Elsevier
Detection of undesirable events in oil and gas wells can help prevent production losses,
environmental accidents, and human casualties and reduce maintenance costs. The scarcity …

[HTML][HTML] A novel ensemble CNN model for COVID-19 classification in computerized tomography scans

LF de Jesus Silva, OAC Cortes, JOB Diniz - Results in Control and …, 2023 - Elsevier
COVID-19 is a rapidly spread infectious disease caused by a severe acute respiratory
syndrome that can lead to death in just a few days. Thus, early disease detection can …

Software engineering repositories: expanding the promise database

M Lima, V Valle, E Costa, F Lira… - Proceedings of the XXXIII …, 2019 - dl.acm.org
Defining and classifying software requirements are critical tasks for determining software
functionality and overall software architecture. In this sense, several types of research are …

SDS-MDBScan: Assigning a meaning to changes in data stream scenarios based on the statistical calculation of the data semantic trends

EV Júnior, RMS Julia, ER Faria - Expert Systems with Applications, 2024 - Elsevier
A wide variety of real-world problems, including those involving data stream scenarios, has
been solved by agents based on adaptive learning techniques. The success of such agents …

Multivariate time series clustering and forecasting for building energy analysis: Application to weather data quality control

L Sanhudo, J Rodrigues… - Journal of Building …, 2021 - Elsevier
In recent years, several tools for building energy analysis and simulation have been
developed to assist in increasing building energy performance, harvesting its computing …

[HTML][HTML] Inteligência Artificial: riscos, benefícios e uso responsável

ACPL Carvalho - Estudos Avançados, 2021 - SciELO Brasil
Estamos usando tecnologias baseadas em Inteligência Artificial em um número crescente
de sistemas e ferramentas. A Inteligência Artificial pode tornar reduzir a necessidade da …

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] Direct solid sample analysis using synchronous fluorescence spectroscopy coupled with chemometric tools for the geographical discrimination of coffee …

JV Robert, JS de Gois, RB Rocha, AS Luna - Food Chemistry, 2022 - Elsevier
This work aims the study chemometric methods for the classification of the origin of coffee
samples. Samples of finely pulverized coffee grains were analyzed by synchronous …