| In-process monitoring of selective laser melting: spatial detection of defects via image data analysis M Grasso, V Laguzza, Q Semeraro, BM Colosimo Journal of Manufacturing Science and Engineering 139 (5), 051001, 2017 | 246 | 2017 |
| Limitations of the inherent strain method in simulating powder bed fusion processes M Bugatti, Q Semeraro Additive Manufacturing 23, 329-346, 2018 | 162 | 2018 |
| Statistical process control for geometric specifications: on the monitoring of roundness profiles BM Colosimo, Q Semeraro, M Pacella Journal of quality technology 40 (1), 1-18, 2008 | 144 | 2008 |
| A genetic algorithm for the hybrid flow shop scheduling with unrelated machines and machine eligibility C Yu, Q Semeraro, A Matta Computers & Operations Research 100, 211-229, 2018 | 129 | 2018 |
| Optimization of processing parameters of a ball mill refiner for chocolate C Alamprese, L Datei, Q Semeraro Journal of Food Engineering 83 (4), 629-636, 2007 | 89 | 2007 |
| Using recurrent neural networks to detect changes in autocorrelated processes for quality monitoring M Pacella, Q Semeraro Computers & Industrial Engineering 52 (4), 502-520, 2007 | 86 | 2007 |
| Design of advanced manufacturing systems A Matta, Q Semeraro Springer, 2005 | 85 | 2005 |
| A review of different approaches to the FMS loading problem A Grieco, Q Semeraro, T Tolio International Journal of Flexible Manufacturing Systems 13, 361-384, 2001 | 84 | 2001 |
| Manufacturing quality control by means of a Fuzzy ART network trained on natural process data M Pacella, Q Semeraro, A Anglani Engineering Applications of Artificial Intelligence 17 (1), 83-96, 2004 | 75 | 2004 |
| The harmonic fitting method for the assessment of the substitute geometry estimate error. Part I: 2D and 3D theory E Capello, Q Semeraro International Journal of Machine Tools and Manufacture 41 (8), 1071-1102, 2001 | 62 | 2001 |
| Adaptive resonance theory-based neural algorithms for manufacturing process quality control M Pacella*, Q Semeraro, A Anglani International Journal of Production Research 42 (21), 4581-4607, 2004 | 59 | 2004 |
| A new method to cope with decision makers' uncertainty in the equipment selection process G Manassero, Q Semeraro, T Tolio CIRP Annals 53 (1), 389-392, 2004 | 56 | 2004 |
| Thin wall geometrical quality improvement in micromilling M Annoni, L Rebaioli, Q Semeraro The International Journal of Advanced Manufacturing Technology 79, 881-895, 2015 | 47 | 2015 |
| Densification mechanism for different types of stainless steel powders in selective laser melting S Cacace, AG Demir, Q Semeraro Procedia Cirp 62, 475-480, 2017 | 44 | 2017 |
| Simulation of tool and part flow in FMSs A Grieco, Q SEMERARO, T Tolio, S Toma THE INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 33 (3), 643-658, 1995 | 43 | 1995 |
| Modelling of back tempering in laser hardening L Giorleo, B Previtali, Q Semeraro The International Journal of Advanced Manufacturing Technology 54, 969-977, 2011 | 38 | 2011 |
| Monitoring roundness profiles based on an unsupervised neural network algorithm M Pacella, Q Semeraro Computers & Industrial Engineering 60 (4), 677-689, 2011 | 34 | 2011 |
| Geometric tolerance specification A Armillotta, Q Semeraro Geometric tolerances: impact on product design, quality inspection and …, 2011 | 31 | 2011 |
| The harmonic fitting method for the assessment of the substitute geometry estimate error. Part II: statistical approach, machining process analysis and inspection plan optimisation E Capello, Q Semeraro International Journal of Machine Tools and Manufacture 41 (8), 1103-1129, 2001 | 31 | 2001 |
| The effect of sampling in circular substitute geometries evaluation E Capello, Q Semeraro International Journal of Machine Tools and Manufacture 39 (1), 55-85, 1999 | 31 | 1999 |
