An overview of forecast analysis with ARIMA models during the COVID-19 pandemic: Methodology and case study in Brazil
This comprehensive overview focuses on the issues presented by the pandemic due to
COVID-19, understanding its spread and the wide-ranging effects of government-imposed …
COVID-19, understanding its spread and the wide-ranging effects of government-imposed …
Machine learning techniques, applications, and potential future opportunities in pressure injuries (bedsores) management: a systematic review
OY Dweekat, SS Lam, L McGrath - International journal of environmental …, 2023 - mdpi.com
Pressure Injuries (PI) are one of the most common health conditions in the United States.
Most acute or long-term care patients are at risk of developing PI. Machine Learning (ML) …
Most acute or long-term care patients are at risk of developing PI. Machine Learning (ML) …
Management of smart and sustainable cities in the post-COVID-19 era: Lessons and implications
W Strielkowski, S Zenchenko, A Tarasova… - Sustainability, 2022 - mdpi.com
Nowadays, the concept of smart sustainable governance is wrapped around basic principles
such as:(i) transparency,(ii) accountability,(iii) stakeholders' involvement, and iv) citizens' …
such as:(i) transparency,(ii) accountability,(iii) stakeholders' involvement, and iv) citizens' …
COVID-19 epidemic forecast in Brazil
O Gaidai, Y Xing - Bioinformatics and Biology Insights, 2023 - journals.sagepub.com
This study advocates a novel spatio-temporal method for accurate prediction of COVID-19
epidemic occurrence probability at any time in any Brazil state of interest, and raw clinical …
epidemic occurrence probability at any time in any Brazil state of interest, and raw clinical …
A survey on semi-supervised graph clustering
Abstract Semi-Supervised Graph Clustering (SSGC) has emerged as a pivotal field at the
intersection of graph clustering and semi-supervised learning (SSL), offering innovative …
intersection of graph clustering and semi-supervised learning (SSL), offering innovative …
Utilization of random forest classifier and artificial neural network for predicting factors influencing the perceived usability of COVID-19 contact tracing “Morchana” in …
With the constant mutation of COVID-19 variants, the need to reduce the spread should be
explored. MorChana is a mobile application utilized in Thailand to help mitigate the spread …
explored. MorChana is a mobile application utilized in Thailand to help mitigate the spread …
Diagnosis of COVID-19 using chest X-ray images and disease symptoms based on stacking ensemble deep learning
The COVID-19 virus is one of the most devastating illnesses humanity has ever faced.
COVID-19 is an infection that is hard to diagnose until it has caused lung damage or blood …
COVID-19 is an infection that is hard to diagnose until it has caused lung damage or blood …
An Empirical Analysis of an Optimized Pretrained Deep Learning Model for COVID‐19 Diagnosis
SKB Sangeetha, MS Kumar, DK… - … Methods in Medicine, 2022 - Wiley Online Library
As a result of the COVID‐19 outbreak, which has put the world in an unprecedented
predicament, thousands of people have died. Data from structured and unstructured sources …
predicament, thousands of people have died. Data from structured and unstructured sources …
[HTML][HTML] COVID-19 seroprevalence estimation and forecasting in the USA from ensemble machine learning models using a stacking strategy
The COVID-19 pandemic exposed the importance of research on the spread of epidemic
diseases. In this paper, we apply Artificial Intelligence and statistics techniques to build …
diseases. In this paper, we apply Artificial Intelligence and statistics techniques to build …
Classification modeling of intention to donate for victims of Typhoon odette using Deep Learning Neural Network
The need for stability in the economy for world development has been a challenge due to
the COVID-19 pandemic. In addition, the increase of natural disasters and their aftermath …
the COVID-19 pandemic. In addition, the increase of natural disasters and their aftermath …