Fernando Barbosa

发表

Classification of geographic origin of rice by data mining and inductively coupled plasma mass spectrometry

Rommel M. Barbosa, Camila Maione, Bruno Lemos Batista, 2016, Comput. Electron. Agric..

Establishing chemical profiling for ecstasy tablets based on trace element levels and support vector machine

Rommel M. Barbosa, Camila Maione, Andres Dobal Campiglia, 2018, Neural Computing and Applications.

Predicting the botanical and geographical origin of honey with multivariate data analysis and machine learning techniques: A review

Rommel M. Barbosa, Camila Maione, Fernando Barbosa, 2019, Comput. Electron. Agric..

The Aldeias Footbridge at Gouveia: Design, Construction and Dynamic Behavior

Rui Alves, Elsa Caetano, Fernando Barbosa, 2008 .

The rough set theory applied to the steady-state contingency classification

J.A.D. Pinto, C.I.F. Agreira, C.M.M. Ferreira, 2004, 39th International Universities Power Engineering Conference, 2004. UPEC 2004..

Comparative study of data mining techniques for the authentication of organic grape juice based on ICP-MS analysis

Rommel M. Barbosa, Camila Maione, Bruno Lemos Batista, 2016, Expert Syst. Appl..

Toxicology of metals and metalloids: Promising issues for future studies in environmental health and toxicology

Fernando Barbosa, F. Barbosa, 2017, Journal of toxicology and environmental health. Part A.

Recent developments on occupational and environmental toxicology

João Paulo Teixeira, Solange Costa, Fernando Barbosa, 2017, Journal of toxicology and environmental health. Part A.

Contingency screening and ranking algorithm using two different sets of security performance indices

J.A.D. Pinto, C.I.F. Agreira, C.M.M. Ferreira, 2003, 2003 IEEE Bologna Power Tech Conference Proceedings,.

Speciation of arsenic in rice and estimation of daily intake of different arsenic species by Brazilians through rice consumption.

Fernando Barbosa, F. Barbosa, Bruno L Batista, 2011, Journal of hazardous materials.

Monitoring the authenticity of organic rice via chemometric analysis of elemental data

Bruno Lemos Batista, Fernando Barbosa, F. Barbosa, 2015 .

The use of inductively coupled plasma mass spectrometry (ICP-MS) for the determination of toxic and essential elements in different types of food samples

Fernando Barbosa, F. Barbosa, Luciano Tormen, 2009 .

The use of decision trees and naïve Bayes algorithms and trace element patterns for controlling the authenticity of free-range-pastured hens' eggs.

Bruno Lemos Batista, Fernando Barbosa, Rommel Melgaço Barbosa, 2014, Journal of food science.

A fast ultrasound-assisted extraction procedure for trace elements determination in hair samples by ICP-MS for forensic analysis.

Bruno Lemos Batista, Fernando Barbosa, F. Barbosa, 2009, Forensic science international.

A fast and environment-friendly method for determination of chemical oxygen demand by using the heterogeneous Fenton-like process (H2O2/Fe(3-x)Co(x)O4 nanoparticles) as an oxidant.

Fernando Barbosa, F. Barbosa, Luiz C A Oliveira, 2015, Talanta.

Arsenic removal from contaminated water by ultrafine δ-FeOOH adsorbents

Fernando Barbosa, Cleide Aparecida Bomfeti, Luiz C.A. Oliveira, 2014 .

Multi-element determination in Brazilian honey samples by inductively coupled plasma mass spectrometry and estimation of geographic origin with data mining techniques

Tibérius O. Bonates, Rommel M. Barbosa, Bruno Lemos Batista, 2012 .

Determination of lead, cadmium and mercury in blood for assessment of environmental exposure: A comparison between inductively coupled plasma–mass spectrometry and atomic absorption spectrometry

Fernando Barbosa, Patrick J. Parsons, Ciaran Geraghty, 2006 .

A simple and practical control of the authenticity of organic sugarcane samples based on the use of machine-learning algorithms and trace elements determination by inductively coupled plasma mass spectrometry.

Fernando Barbosa, Andres D Campiglia, F. Barbosa, 2015, Food chemistry.

Recognition of organic rice samples based on trace elements and support vector machines

Rommel M. Barbosa, Bruno Lemos Batista, Fernando Barbosa, 2016 .

Finding the Most Significant Elements for the Classification of Organic Orange Leaves: A Data Mining Approach

Rommel M. Barbosa, Elisabete A. De Nadai Fernandes, Márcio Arruda Bacchi, 2017 .