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Kayo Henrique de Carvalho Monteiro

Showing results (1-10 of 5) with videos related to

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Sensors (Basel, Switzerland)|April 10, 2019
Accelerometer-Based Human Fall Detection Using Convolutional Neural NetworksGuto Leoni Santos, Patricia Takako Endo, Kayo Henrique de Carvalho Monteiro, et al.
Malaria Journal|October 31, 2021
Malaria Trigram: improving the visualization of recurrence data for malaria eliminationCleber Matos de Morais, Kayo Henrique de Carvalho Monteiro, Jose Diego Brito-Sousa, et al.
BMC Infectious Diseases|June 8, 2025
Integrating machine learning and spatial clustering for malaria case prediction in Brazil's Legal AmazonKayo Henrique de Carvalho Monteiro, Élisson da Silva Rocha, Luis Augusto Morais, et al.
Revista Da Sociedade Brasileira De Medicina Tropical|July 2, 2020
#StayHome: Monitoring and benchmarking social isolation trends in Caruaru and the Região Metropolitana do Recife during the COVID-19 pandemicPatricia Takako Endo, Ivanovitch Silva, Luciana Lima, et al.
Revista Da Sociedade Brasileira De Medicina Tropical|August 10, 2022
Prediction of malaria using deep learning models: A case study on city clusters in the state of Amazonas, Brazil, from 2003 to 2018Matheus Félix Xavier Barboza, Kayo Henrique de Carvalho Monteiro, Iago Richard Rodrigues, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Sensors (Basel, Switzerland)|April 10, 2019
Accelerometer-Based Human Fall Detection Using Convolutional Neural NetworksGuto Leoni Santos, Patricia Takako Endo, Kayo Henrique de Carvalho Monteiro, et al.
Malaria Journal|October 31, 2021
Malaria Trigram: improving the visualization of recurrence data for malaria eliminationCleber Matos de Morais, Kayo Henrique de Carvalho Monteiro, Jose Diego Brito-Sousa, et al.
BMC Infectious Diseases|June 8, 2025
Integrating machine learning and spatial clustering for malaria case prediction in Brazil's Legal AmazonKayo Henrique de Carvalho Monteiro, Élisson da Silva Rocha, Luis Augusto Morais, et al.
Revista Da Sociedade Brasileira De Medicina Tropical|July 2, 2020
#StayHome: Monitoring and benchmarking social isolation trends in Caruaru and the Região Metropolitana do Recife during the COVID-19 pandemicPatricia Takako Endo, Ivanovitch Silva, Luciana Lima, et al.
Revista Da Sociedade Brasileira De Medicina Tropical|August 10, 2022
Prediction of malaria using deep learning models: A case study on city clusters in the state of Amazonas, Brazil, from 2003 to 2018Matheus Félix Xavier Barboza, Kayo Henrique de Carvalho Monteiro, Iago Richard Rodrigues, et al.
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