Considering the imminence of new SARS-CoV-2 variants and COVID-19 vaccine availability, it is essential to understand impact disease on most vulnerable groups those at risk death from disease. To this end, odds ratio (OR) for mortality hospitalization was calculated different patients by applying an adjusted logistic regression model based following variables interest: gender, booster vaccination, age group, comorbidity occurrence. A massive number data were extracted compiled official...

The rapid growth of wind generation in northeast Brazil has led to multiple benefits many different stakeholders energy industry, especially because the is a renewable resource - an abundant and ubiquitous power source present almost every state region Brazil. Despite several power, forecasting speed becomes challenging task practice, as it highly volatile over time, when one deal with long-term predictions. Therefore, this paper focuses on applying Machine Learning strategies such Random...

Understanding the effectiveness of different quarantine strategies is crucial for controlling spread COVID-19, particularly in regions with limited data. This study presents a SCIRD-inspired model to simulate transmission dynamics COVID-19 medium-sized cities and their surrounding satellite towns. Unlike previous works that focus primarily on large urban centers or homogeneous populations, our approach incorporates intercity mobility evaluates impact spatially differentiated interventions....

The economic and environmental impacts of wildfires have leveraged the development new technologies to prevent reduce occurrence these devastating events. Indeed, identifying mapping fire-susceptible areas arise as critical tasks, not only pave way for rapid responses attenuate fire spreading, but also support emergency evacuation plans families affected by fire-related tragedies. Aiming at simultaneously measuring risk fires in forest Brazil’s Amazon, this paper we combine multitemporal...

The prediction of electricity generation is one the most important tasks in management modern energy systems. Improving assertiveness this can support government agencies, electric companies, and power suppliers minimizing cost to end consumer. In study, problem forecasting demand Brazilian Interconnected Power Grid was addressed, by gathering different energy-related datasets taken from public agencies into a unified open database, used tune three machine learning models. contrast several...

Understanding patterns and energy-related data in photovoltaic systems is one of the key tasks energy generation distribution. In fact, use data-driven tools predictive learning models can support government, power regulatory agencies, industry improving their decision-making operational activities. Bering this mind, paper presents a case study analysis machine to forecast charge distributed grid Queensland, Australia. Our relies on freely, open tracking platform design three Machine...

In ophthalmology and vision science applications, the process of registering a pair fundus images, captured at different scales viewing angles, is paramount importance to support diagnosis diseases routine eye examinations. Aiming addressing retina registration problem from Deep Learning perspective, in this paper we introduce an end-to-end framework capable learning task fully unsupervised way. The designed approach combines Convolutional Neural Networks Spatial Transformation Network into...

In ophthalmology, the registration problem consists of finding a geometric transformation that aligns pair images, supporting eye-care specialists who need to record and compare images same patient. Considering methods for handling eye fundus literature offers only limited number proposals based on deep learning (DL), whose implementations use supervised paradigm train model. Additionally, ensuring high-quality registrations while still being flexible enough tackle broad range is another...

The presence of shadows in remote sensing images leads to misinterpretation objects and a wrong discrimination the targets interest, therefore, limiting use several imaging applications. An automatic area-based approach for shadow detection is proposed, which combines spatial spectral features into unified flexible approach. Potential shadow-pixels candidates are identified using morphological-based operators, particular, black-top-hat transformations as well area injunction strategies...

Wind energy has become a trend in Brazil, particularly the northeastern region of country. Despite its advantages, wind power generation been hindered by high volatility exogenous factors, such as weather, temperature, and air humidity, making long-term forecasting highly challenging task. Another issue is need for reliable solutions, especially large-scale farms, this involves integrating specific optimization tools restricted-access datasets collected locally at plants. Therefore, paper,...

The GECET: Garotas nas Engenharias, Ciências Exatas e Tecnologias is an extension project linked to the São Paulo State University “Júlio de Mesquita Filho” (UNESP), with aim of increasing female participation in STEM fields (Science, Technology, Engineering, and Mathematics). operates on several fronts promote gender equity, ranging from basic education higher postgraduate studies. GECET has had a significant impact, interest fields, raising awareness about stereotypes, developing...

Este trabalho propõe a adaptação de três redes neurais artificiais para prever séries temporais da COVID-19 no Brasil, considerando o atual cenário escassez dados e ondas recorrentes doença, mas menor magnitude comparado 2020 2021. O principal objetivo é avaliar desempenho diferentes arquiteturas na previsão dos casos diários estado São Paulo. As exploradas foram: Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM) Gated Unit (GRU). cada modelo foi analisado quanto à aderência aos...

Remote Sensing has been of paramount importance to capture features interest from the Earth's surface. In this context, extraction algorithms and classification methods can be applied response electromagnetic spectrum in different image bands order find out what kind feature is more predominant a satellite image. Therefore, paper, two detection approaches are evaluated compared: first one based on mathematical morphology filtering, while second built as semi-supervised approach which applies...

O presente trabalho apresenta uma análise da evolução Covid-19 no município de Ara￾raquara, localizado interior do Estado São Paulo. Essa tem como objetivo investigar a eficiência lockdown estratégia contenção avanço novo coronavírus, através dos dados casos confirmados, internações, óbitos e número efetivo reprodução vírus. Para isto, foi realizado um estudo comparativo envolvendo os Carlos-SP, bem o novos por 100 mil habitantes municípios paulistas Presidente Prudente, Dracena Jaú que,...

Por muito tempo as mulheres sofreram uma grande exclusão em diversas áreas, tanto no que diz respeito ao acesso à educação quanto relação a inserção mercado de trabalho, visto estudar e “trabalhar fora” eram atividades restritas aos homens, por isso pouquíssimas chegavam ensino superior. Pesquisas educacionais científicas relacionando gênero começaram ganhar espaço somente meados dos anos 1990, com o crescimento reivindicações políticas públicas visando criação medidas contra discriminação...

Os métodos chamados de interface imersa tem tido grande estudo nos últimos tempos, por se tratar eficientes para a resolução problemas escoamentos multifásicos ou com descontinuidades nas interfaces. Nesses métodos, as equações serem resolvidas são discretizadas numa grade cartesiana fixa. Como resultado, fronteira do domínio nem sempre está em conformidade computacional. Isto dá origem às no interior Na presente investigação, usamos o método interfaces imersas resolver derivadas funções...

A programação é uma habilidade fundamental na indústria de tecnologia e permite que as pessoas criem soluções para vários problemas em diferentes áreas. As mulheres ainda estão sub- representadas nas áreas STEM, especialmente relacionadas à tecnologia. exposição precoce pode ajudar meninas a desenvolver suas habilidades resolução pensamento crítico, também despertar seu interesse seguir carreira área. Como consequência termos mais tecnologia, podemos citar melhoria diversidade, inovação...

A criptomoeda e a tecnologia blockchain têm sido um dos principais impulsionadores da Quarta Revolução Industrial no setor financeiro. Enquanto, por lado, mineração de cripto-moedas permite que mineradores virtuais acumulem ativo financeiro, este processo também leva consumo progressivo eletricidade em todo o mundo. De fato, preocupação com aumento desenfreado do energia decorrente criptomoedas ganhou mais força meados 2018, quando uso alcançou 1% toda demanda mundial, alertando...