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ORCIDDoriana Marilena D'Addona
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2020 – today
- 2024
[j15]Cristiano Soares Junior
, Paulo Roberto de Aguiar, Doriana Marilena D'Addona, Pedro O. Conceição Junior, Reinaldo Götz Oliveira Junior:
A Proposed Non-Destructive Method Based on Sphere Launching and Piezoelectric Diaphragm. Sensors 24(18): 5874 (2024)- [c4]Thiago Glissoi Lopes, Victoria Dutra Kennerly, Paulo Roberto de Aguiar, Cristiano Soares Junior, Paulo Monteiro De Carvalho Monson, Doriana Marilena D'Addona:
Detection and Classification of Defects in 3D Printing using a Novel Skewness and Kurtosis-based Parameter of Sound Signals and Machine Learning. ICCAD 2024: 1-5 - 2022
- [c3]Alessia Lazzaro, Doriana Marilena D'Addona, Massimo Merenda:
Comparison of Machine Learning Models for Predictive Maintenance Applications. SYSINT 2022: 657-666 - 2020
- [j14]Martin Antonio Aulestia Viera, Paulo Roberto de Aguiar, Pedro Oliveira Junior, Felipe A. Alexandre, Wenderson N. Lopes, Eduardo C. Bianchi, Rosemar Batista da Silva, Doriana Marilena D'Addona, André Luiz Andreoli:
Erratum: Aulestia Viera, M., et al. A Time-Frequency Acoustic Emission-Based Technique to Assess Workpiece Surface Quality in Ceramic Grinding with PZT Transducer. Sensors 2019, 19, 3913. Sensors 20(8): 2387 (2020)
2010 – 2019
- 2019
- [j13]Doriana Marilena D'Addona, Alessandro A. G. Bruzzone Dime:
Formal Tools for Management of Manufacturing Systems: A Multi Agents System Approach. Int. J. Autom. Technol. 13(5): 691-699 (2019) - [j12]Martin Antonio Aulestia Viera, Paulo Roberto de Aguiar, Pedro Oliveira Junior, Felipe A. Alexandre, Wenderson N. Lopes, Eduardo C. Bianchi, Rosemar Batista da Silva, Doriana D'Addona, André Luiz Andreoli:
A Time-Frequency Acoustic Emission-Based Technique to Assess Workpiece Surface Quality in Ceramic Grinding with PZT Transducer. Sensors 19(18): 3913 (2019) - [c2]Massimo Merenda, D. Laurendi, Demetrio Iero, Doriana Marilena D'Addona, Francesco Giuseppe Della Corte:
Wireless Sensors for Intraoral Force Monitoring. ApplePies 2019: 267-273 - 2018
- [j11]Pedro Oliveira Junior, Doriana Marilena D'Addona, Paulo Roberto de Aguiar, Roberto Teti:
Dressing Tool Condition Monitoring through Impedance-Based Sensors: Part 2 - Neural Networks and K-Nearest Neighbor Classifier Approach. Sensors 18(12): 4453 (2018) - [j10]Pedro Oliveira Junior, Doriana Marilena D'Addona, Paulo Roberto de Aguiar, Roberto Teti:
Dressing Tool Condition Monitoring through Impedance-Based Sensors: Part 1 - PZT Diaphragm Transducer Response and EMI Sensing Technique. Sensors 18(12): 4455 (2018) - 2017
- [j9]Doriana D'Addona, A. M. M. Sharif Ullah, Davide Matarazzo:
Tool-wear prediction and pattern-recognition using artificial neural network and DNA-based computing. J. Intell. Manuf. 28(6): 1285-1301 (2017) - [j8]Danilo M. S. Ribeiro, Paulo Roberto de Aguiar, Luiz F. G. Fabiano, Doriana D'Addona, Fabricio Guimaraes Baptista, Eduardo C. Bianchi:
Spectra Measurements Using Piezoelectric Diaphragms to Detect Burn in Grinding Process. IEEE Trans. Instrum. Meas. 66(11): 3052-3063 (2017) - [c1]Doriana Marilena D'Addona, Alessandro A. G. Bruzzone Dime:
Lego-like reconfigurable machining system: New perspecives to optimize production capacity. INDIN 2017: 212-217 - 2016
- [j7]A. M. M. Sharif Ullah, Doriana D'Addona, Khalifa H. Harib, Than Lin:
Fractals and Additive Manufacturing. Int. J. Autom. Technol. 10(2): 222-230 (2016) - 2015
- [j6]Mauricio Eiji Nakai, Paulo Roberto de Aguiar, Hildo Guillardi Jr., Eduardo Carlos Bianchi, Danilo Hernane Spatti, Doriana Marilena D'Addona:
Evaluation of neural models applied to the estimation of tool wear in the grinding of advanced ceramics. Expert Syst. Appl. 42(20): 7026-7035 (2015) - 2014
- [j5]A. M. M. Sharif Ullah, Doriana D'Addona, Nobuyuki Arai:
DNA based computing for understanding complex shapes. Biosyst. 117: 40-53 (2014) - 2013
- [j4]Tiziana Segreto, Alessandra Caggiano, Doriana Marilena D'Addona:
Assessment of laser-based reverse engineering systems for tangible cultural heritage conservation. Int. J. Comput. Integr. Manuf. 26(9): 857-865 (2013) - 2012
- [j3]Doriana D'Addona, Roberto Teti, G. Caprino:
Residual strength prediction of artificially damaged composite laminates based on neural networks. J. Intell. Fuzzy Syst. 23(5): 217-223 (2012) - 2011
- [j2]Doriana D'Addona, Roberto Teti:
Queuing network modelling techniques for response time enhancement in electronics assembly. Int. J. Comput. Aided Eng. Technol. 3(3/4): 399-414 (2011)
2000 – 2009
- 2006
- [j1]Roberto Teti, Doriana D'Addona:
Emergent synthesis in supply network tool management. Adv. Eng. Informatics 20(3): 233-246 (2006)
Coauthor Index
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