Cicero R. Cena
Campo Grande, MS, Brazil
Last Updated: 09/26/2026
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Found 23 publications
UV spectroscopy associated with machine learning as a complementary tool for the diagnosis of Ehrlichia canis in dogs.
Journal: Photodiagnosis and photodynamic therapy
Published: March 20, 2026
Potential use of saliva infrared spectra and machine learning for a minimally invasive screening test for congenital syphilis in infants.
Journal: Scientific reports
Published: January 27, 2025
Diagnosis of Cutaneous Leishmaniasis Using FTIR Spectroscopy and Machine Learning: An Animal Model Study.
Journal: ACS infectious diseases
Published: January 08, 2024
Making wood inspection easier: FTIR spectroscopy and machine learning for Brazilian native commercial wood species identification.
Journal: RSC advances
Published: January 07, 2024
Multi-resistant diarrheagenic Escherichia coli identified by FTIR and machine learning: a feasible strategy to improve the group classification.
Journal: RSC advances
Published: May 25, 2023
Turning chaotic sample group clusterization into organized ones by feature selection: Application on photodiagnosis of Brucella abortus serological test.
Journal: Journal of photochemistry and photobiology. B, Biology
Published: May 19, 2023
Evaluation of Piezoresistive and Electrical Properties of Conductive Nanocomposite Based on Castor-Oil Polyurethane Filled with MWCNT and Carbon Black.
Journal: Materials (Basel, Switzerland)
Published: February 23, 2023
Canine visceral leishmaniasis diagnosis by UV spectroscopy of blood serum and machine learning algorithms.
Journal: Photodiagnosis and photodynamic therapy
Published: February 02, 2023
Preparation and Phytotoxicity Evaluation of Cellulose Acetate Nanoparticles.
Journal: Polymers
Published: September 30, 2022
Last Updated: 09/26/2026