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Estudo das aplicações de data science e machine learning na engenharia química
(Universidade Federal de São Carlos, 2022-09-13)
Today, with the advancement of technology and the ability of computers to store huge
amounts of data, companies and industries have sought out professionals trained to deal with
the challenge of organizing and extracting ...
Detecção de defeitos em tecidos através de redes neurais convolucionais
(Universidade Federal de São Carlos, 2022-05-03)
This work aims to apply transfer learning to a detector based on convolutional neural networks to identify defects and patterns through tissue images. With Industry 4.0, intelligent systems are increasingly being applied ...
Um estudo sobre a provisão de consórcio com séries temporais e machine learning
(Universidade Federal de São Carlos, 2022-04-07)
The consortium sector of a particular company works by dividing its customers into groups that start and finish at the same time the payment of installments of a combined amount to obtain their own vehicle. The acquisition ...
Modelo machine learning de um trocador de calor tipo placa via modelo gerado no Aspen
(Universidade Federal de São Carlos, 2022-09-12)
Mathematical optimization methods tend to be increasingly applied, both due to the greater capacity of computers, as well as the greater knowledge of the behavior of the systems and consequent knowledge of the variables ...
Utilização de métodos de aprendizado de máquina para estimação de escores de propensão
(Universidade Federal de São Carlos, 2022-04-18)
Increasingly larger and more complex databases can be easily obtained and appropriate technologies for modeling massive amounts of data become increasingly necessary in order to optimize results and predictions. Machine ...