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Método de escolha de Scheduling para problemas de Job Shop Flexível utilizando um tomador de decisão Fuzzy
(Universidade Federal de São Carlos, 2022-11-11)
Among the scheduling problems encountered in production, there is the flexible job shop (FJSP),
which is an extension of the classic Job Shop. The FJSP is classified as an NP-Hard problem and can
be described as a set ...
A tool-supported approach to adapt web user interfaces considering the emotional state of the user
(Universidade Federal de São Carlos, 2022-03-10)
The field of Human-Computer Interaction aims at developing computational systems that place the user at the center of the their development, so he/she can have the best experience when interact with the final solution. ...
Método para classificação de padrões da Lagarta do cartucho (Spodoptera frugiperda) na cultura do milho baseado em processamento de imagens digitais e aprendizado de máquina
(Universidade Federal de São Carlos, 2021-12-29)
The detection, identification, and control of the Fall Armyworm (Spodoptera frugperda) pest
into the maize culture (Zea mays) are greatly dependent on the human factor. Currently, such
control occurs mainly through the ...
Método para contagem de plantas de milho baseado no processamento digital de imagens multiespectrais utilizando Drones em ambiente de campo
(Universidade Federal de São Carlos, 2022-03-15)
The processing of multispectral images acquired with an embedded camera in unmanned aerial vehicles (Drones) has brought new opportunities for precision agriculture. In such a context, this work presents a method for ...
Quantificação da tortuosidade de vasos sanguíneos: definições e influência das etapas de realce e segmentação
(Universidade Federal de São Carlos, 2021-11-08)
Morphological features of blood vessels can be used as markers of several pathologies affecting the tissues of organisms. Among these features, tortuosity displays a vital role in the study and diagnostic of conditions ...
Classificação de retornos utilizando dados de alta frequência no mercado de bitcoins
(Universidade Federal de São Carlos, 2020-03-10)
In the cryptocurrency market, Bitcoin stands out as the most accepted traded in the world. However, due to its high volatility, the prediction of price behaviors, in special, the trend classification, becomes a challenge ...
Extração de características e aprendizado não-supervisionados em imagens hiperespectrais
(Universidade Federal de São Carlos, 2020-04-29)
Hyperspectral imagery have hundreds of bands and greater subtle differences discrimination capacity in compariosion with multispectral imagery, which benefits precision applications. However, inherent high spectral ...
Análise da predição da violência infantil por meio de árvores de decisão e regras de associação
(Universidade Federal de São Carlos, 2020-06-02)
According to the United Nations International Children's Emergency Fund (UNICEF), currently around 300 million children around the world suffer from various types of abuse, including: psychological, physical, sexual or ...
Classificação de imagens de ressonância magnética nas classes Normal, Comprometimento Cognitivo Leve e Alzheimer usando projeções PCA e Kernel PCA, e máquinas de vetores suporte
(Universidade Federal de São Carlos, 2020-06-24)
Given the aging of the population in Brazil and the world, with a possible inversion of the
age pyramid, moving towards an increasing number of older adults (≥ 60 years), projected
1.4 billion, 16.4% of the world population, ...
Uma álgebra ER para consultas em bancos de dados NoSQL: implementação de operadores adicionais e análise de desempenho
(Universidade Federal de São Carlos, 2020-04-09)
Databases and database systems are essential to modern life. In a scenario of increasing data handling arose the need to find newer ways to store and process data that are able to cope with the rapid evolution of society. ...