CV Lattes
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Universidade Estadual Paulista (UNESP). Campus de Botucatu. Faculdade de Ciências Agronômicas (FCA) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Graduating in Forestry Engineering at the São Paulo State University "Júlio de Mesquita Filho" (UNESP). She was Legal and Financial Advisor from 2019 to 2020, Legal and Financial Director from 2020 to 2021 and Vice President Director from 2021 to 2022 at Conflor Jr. - Junior Forest Consulting Company. Academic monitor at UNESP in 2021. Member of the Communication board of the Casa da Natureza Network - Collaborative Action of Socio-environmental Projects in the Botucatu Region, from 2021 to 2022. Conducted research with the Scientific Initiation Program, with a grant from the National Council for Scientific and Technological Development (CNPq), during the period from 2020 to 2022. She is currently developing research with the Scientific Initiation Program, with a grant from the São Paulo Research Foundation (FAPESP). It is dedicated to themes related to Machine Learning, Artificial Intelligence, Wood Harvesting, Forestry Logistics, Forestry Economy and Occupational Ergonomics. (Source: Lattes Curriculum)
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The application of machine learning techniques allows making predictions based on data, which can generate a better predictive result in estimating the maintenance of self-propelled forest machines, contributing significantly to the rationalization of resources. That said, the objective is to analyze the performance of machine learning algorithms, through regression analysis, as predictor…
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