Quirico Semeraro - researchr alias

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Viewing Publication 1 - 20 from 20

2022

Process optimization via confidence region: a case study from micro-injection moldingGianluca Trotta, Stefania Cacace, Quirico Semeraro. jim, 33(7):2045-2057, 2022. [doi]

2020

Optimization of cutting conditions using an evolutive online procedureAntonio Del Prete, Rodolfo Franchi, Stefania Cacace, Quirico Semeraro. jim, 31(2):481-499, 2020. [doi]

Multi-objective scheduling in hybrid flow shop: Evolutionary algorithms using multi-decoding frameworkChunlong Yu, Pietro Andreotti, Quirico Semeraro. candie, 147:106570, 2020. [doi]

2018

A genetic algorithm for the hybrid flow shop scheduling with unrelated machines and machine eligibilityChunlong Yu, Quirico Semeraro, Andrea Matta. cor, 100:211-229, 2018. [doi]

2017

Optimal setup of a multihead weighing machineEnrique del Castillo, Alessia Beretta, Quirico Semeraro. eor, 259(1):384-393, 2017. [doi]

2015

On the Effectiveness of Profile Monitoring to Enhance Functional Performance of ParticleboardsBianca Maria Colosimo, Marcela Meneses, Quirico Semeraro. qre, 31(8):1665-1674, 2015. [doi]

A Comparison Study of Distribution-Free Multivariate SPC Methods for Multimode DataMarco Grasso, Bianca Maria Colosimo, Quirico Semeraro, Massimo Pacella. qre, 31(1):75-96, 2015. [doi]

2012

A Kriging-based algorithm to optimize production systems approximated by analytical modelsAndrea Matta, Matteo Pezzoni, Quirico Semeraro. jim, 23(3):587-597, 2012. [doi]

2011

Monitoring roundness profiles based on an unsupervised neural network algorithmMassimo Pacella, Quirico Semeraro. candie, 60(4):677-689, 2011. [doi]

2010

A Unified Approach to Kinematic and Tolerance Analysis of Locating FixturesAntonio Armillotta, Giovanni Moroni, Wilma Polini, Quirico Semeraro. jcise, 10(2), 2010. [doi]

Process Signature Modeling for Tolerance AnalysisR. Ascione, Wilma Polini, Quirico Semeraro. jcise, 10(2), 2010. [doi]

2007

FM for FMS: Lessons Learned While Applying Formal Methods to the Study of Flexible Manufacturing SystemsAndrea Matta, Matteo Rossi, Paola Spoletini, Dino Mandrioli, Quirico Semeraro, Tullio Tolio. ictac 2007: 366-380 [doi]

Using recurrent neural networks to detect changes in autocorrelated processes for quality monitoringMassimo Pacella, Quirico Semeraro. candie, 52(4):502-520, 2007. [doi]

2005

Understanding ART-based neural algorithms as statistical tools for manufacturing process quality controlMassimo Pacella, Quirico Semeraro. eaai, 18(6):645-662, 2005. [doi]

2004

Manufacturing quality control by means of a Fuzzy ART network trained on natural process dataMassimo Pacella, Quirico Semeraro, Alfredo Anglani. eaai, 17(1):83-96, 2004. [doi]

2003

Manufacturing process quality control by means of a Fuzzy ART neural network algorithmMassimo Pacella, Quirico Semeraro, Alfredo Anglani. icannga 2003: 74-79 [doi]

2000

1995

Performance of Genetic Algorithms in the Solution of Permutation Flowshop ProblemNicoletta Sangalli, Quirico Semeraro, Tullio Tolio. icannga 1995: 495-498 [doi]

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