Time Series Mining Approaches for Malaria Vector Prediction on Mid-Infrared Spectroscopy Data Cover

Time Series Mining Approaches for Malaria Vector Prediction on Mid-Infrared Spectroscopy Data

Data Science Journal

Volume 23 (2024): Issue 1

By: Lucas G. M. Castro , Henrique V. Costa and Vinicius M. A. Souza

Open Access

|May 2024

Authors

Lucas G. M. Castro

l.castro2@pucpr.br

Graduate Program in Informatics, Pontifícia Universidade Católica do Paraná, Rua Imaculada Conceição 1155, Curitiba, PR

Henrique V. Costa

henrique.costa4@pucpr.br

Pontifícia Universidade Católica do Paraná, Rua Imaculada Conceição 1155, Curitiba, PR

Vinicius M. A. Souza

vinicius.mourao@pucpr.br

Graduate Program in Informatics, Pontifícia Universidade Católica do Paraná, Rua Imaculada Conceição 1155, Curitiba, PR

DOI: https://doi.org/10.5334/dsj-2024-025 | Journal eISSN: 1683-1470

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Language: English

Submitted on: Feb 17, 2024

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Accepted on: Apr 13, 2024

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Published on: May 1, 2024

Published by: Ubiquity Press

In partnership with: Paradigm Publishing Services

Publication frequency: 1 issue per year

Keywords:

time-series classification,

mid-infrared spectroscopy,

machine learning,

© 2024 Lucas G. M. Castro, Henrique V. Costa, Vinicius M. A. Souza, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.

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