Dr. Rocco Furferi
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Dr. Rocco Furferi

Associate Professor
University of Florence, Italy


Highest Degree
Ph.D. in Machine Design and Construction from University of Florence, Italy

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Biography

Rocco Furferi is currently working as an Lecturer for the courses ‘mechanical drafting’ and ‘computational graphics’ since 2008 at University of Florence. He received his PhD in Machine Design and Construction in 2005 from University of Florence, Italy. He graduated with an MSc in Mechanical Engineering from University of Florence. He also worked as a Post-doctoral Researcher at the Department of Mechanics and Industrial Technologies of the University of Florence. His main scientific interests include development of artificial vision systems for industrial and textile control, artificial neural networks, colorimetry, reverse engineering and rapid prototyping. He is author and co-author of many publications printed in journals and presented on international conferences. Some latest publications described methods for color assessment of textiles, algorithms for 3D reconstruction of objects from orthographic views and ANN-based systems for industrial process.

Area of Interest:

Engineering
100%
Mechanical Engineering
62%
Modelling and Simulation
90%
Construction Engineering
75%
Textile Engineering
55%

Research Publications in Numbers

Books
2
Chapters
38
Articles
109
Abstracts
0

Selected Publications

  1. Servi, M., R. Furferi, Y. Volpe, M. Ghionzoli and A. Messineo, 2020. Towards a Non-invasive Pectus Excavatum Severity Assessment Tool Using a Linear Discriminant Analysis on 3D Optical Data. In: Design, Simulation, Manufacturing: The Innovation Exchange ADM 2019: Design Tools and Methods in Industrial Engineering, Rizzi, C., A.O. Andrisano, F. Leali, F. Gherardini, F. Pini, A. Vergnano (Eds.)., Springer, Cham, ISBN: 978-3-030-31154-4, pp. 686-695.
  2. Puggelli, L., R. Furferi and L. Governi, 2020. Low Cost Device to Perform 3D Acquisitions Based on ChAruCo Markers. In: Design Tools and Methods in Industrial Engineering, Rizzi, C., A.O. Andrisano, F. Leali, F. Gherardini and F. Pini (Eds.)., Springer, Cham, ISBN: 978-3-030-31154-4, pp: 189-200.
  3. Frillici, F.S., L. Fiorineschi, R. Furferi and F. Rotini, 2020. Adoption of Additive Technologies by Florence Industries: Designing a Survey Session. In: Design, Simulation, Manufacturing: The Innovation Exchange ADM 2019: Design Tools and Methods in Industrial Engineering, Rizzi, C., A.O. Andrisano, F. Leali, F. Gherardini, F. Pini, A. Vergnano (Eds.)., Springer, Cham, ISBN: 978-3-030-31154-4, pp: 827-836.
  4. Buonamici, F., M. Carfagni, R. Furferi, S. Lazzeri, M. Servi, E. Talanti and Y. Volpe, 2020. Automatic CAD modeling of ventilation holes for 3D printed wrist orthoses. Comp. Aided Design Applic., 17: 325-336.
  5. Buonamici, F., M. Carfagni, R. Furferi, L. Governi and Y. Volpe, 2020. CAD Reconstruction: A Study on Reverse Modelling Strategies. In: Design, Simulation, Manufacturing: The Innovation Exchange ADM 2019: Design Tools and Methods in Industrial Engineering, Rizzi, C., A.O. Andrisano, F. Leali, F. Gherardini and F. Pini (Eds.)., Springer, Modena, ISBN: 978-3-030-31154-4, pp: 165-176.
  6. Servi, M., F. Buonamici, R. Furferi, L. Governi and F. Uccheddu et al., 2019. Pectus Carinatum: a non- invasive and objective measurement of severity. Med. Biol. Eng. Comp., 57: 1727-1735.
  7. Puggelli, L., F. Uccheddu, Y. Volpe, R. Furferi. and D. Feo, 2019. Accuracy Assessment of CT-Based 3D Bone Surface Reconstruction. In: Design Engineering and Manufacturing II. Lecture Notes in Mechanical Engineering, Cavas-Martínez, F., B. Eynard., F.F. Canavate, D.F. Pacheco, P. Morer and V. Nigrelli (Eds.). Springer, Cham, ISBN: 978-3-030-12346-8, pp: 487-496.
  8. Mussi, E., R. Furferi, Y. Volpe, F. Facchini, K.S. McGreevy and F. Uccheddu, 2019. Ear reconstruction simulation: From handcrafting to 3D printing. Bioengineering, Vol. 6. 10.3390/bioengineering6010014 .
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  9. Meli, E., A. Rindi, A. Ridolfi, R. Furferi and F. Buonamici et al., 2019. Design and production of innovative turbomachinery components via topology optimization and additive manufacturing. Int. J. Rotating Mach., Vol. 2019. 10.1155/2019/9546831.
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  10. Marzola, A., L. Governi, L. Genitori, F. Mussa, Y. Volpe and R. Furferi, 2019. A semi-automatic hybrid approach for defective skulls reconstruction. Comput. Aided Des. Appl., 17: 190-204.
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  11. Leng, S., K. Bici, F. Facchini, Y. Volpe and F. Uccheddu et al., 2019. Customized cutting template to assist sternotomy in pectus arcuatum. Annal. Thor. Surg., 107: 1253-1258.
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  12. Furferi, R., L. Governi, L. Puggelli, M. Servi and Y. Volpe, 2019. Machine vision system for counting small metal parts in electro-deposition industry. Applied Sci., Vol. 9. 10.3390/app9122418.
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  13. Carfagni, M., R. Furferi, L. Governi, C. Santarelli, M. Servi, F. Uccheddu and Y. Volpe, 2019. Metrological and critical characterization of the intel D415 stereo depth camera. Sensors, Vol. 19. 10.3390/s19030489.
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  14. Carfagni, M., F. Facchini, R. Furferi, M. Ghionzoli and L. Governi et al., 2019. Towards a CAD-based automatic procedure for patient specific cutting guides to assist sternal osteotomies in pectus arcuatum surgical correction. J. Comput. Design Eng., 6: 118-127.
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  15. Buonamici, F., Y. Volpe, R. Furferi, M. Carfagni and G. Signorini et al., 2019. Bamboo’s Bio-inspired Material Design Through Additive Manufacturing Technologies. In: Digital Wood Design. Lecture Notes in Civil Engineering, Bianconi, F. and M. Filippucci (Eds.)., Springer, Cham, ISBN: 978-3-030-03676-8, pp: 809-826.
  16. Buonamici, F., R. Furferi, L. Governi, S. Lazzeri and K.S. McGreevy et al., 2019. A CAD-based procedure for designing 3D printable arm-wrist-hand cast. Comput.-Aided Des. Applic., 16: 25-34.
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  17. Boccini, E., R. Furferi, L. Governi, E. Meli, A. Ridolfi, A. Rindi and Y. Volpe, 2019. Toward the integration of lattice structure-based topology optimization and additive manufacturing for the design of turbomachinery components. Adv. Mech. Eng., 11: 1-4.
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  18. Volpe, Y., R. Furferi, L. Governi, F. Uccheddu and M. Carfagni et al., 2018. Surgery of complex craniofacial defects: A single-step AM-based methodology. Comput. Methods Programs Biomed., 165: 225-233.
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  19. Uccheddu, F., M. Ghionzoli, Y. Volpe, M. Servi and R. Furferi et al., 2018. A novel objective approach to the external measurement of pectus excavatum severity by means of an optical device. Ann. Thoracic Surg., 106: 221-227.
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  20. Uccheddu, F., M. Carfagni, L. Governi, R. Furferi, Y. Volpe and E. Nocerino, 2018. 3D printing of cardiac structures from medical images: An overview of methods and interactive tools. Int. J. Interact. Des. Manuf., 12: 597-609.
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  21. Goli, G., R. Curti, B. Marcon, A. Scippa, G. Campatelli, R. Furferi and L. Denaud, 2018. Specific cutting forces of isotropic and orthotropic engineered wood products by round shape machining. Materials, Vol. 11, No. 12. 10.3390/ma11122575.
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  22. Furferi, R., L. Governi, Y. Volpe, L. Puggelli and M. Carfagni, 2018. Original strategy for avoiding over-smoothing in SFS problem resolution. Int. J. Comput. Vision Rob., 8: 58-73.
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  23. Furferi, R., L. Governi, F. Uccheddu and Y. Volpe, 2018. Computer-aided design tool for GT ventilation system ductworks. Comput.-Aided Des. Applic., 15: 170-179.
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  24. Cavallo, F., R. Limosani, L. Fiorini, R. Esposito, R. Furferi, L. Governi and M. Carfagni, 2018. Design impact of acceptability and dependability in assisted living robotic applications. Int. J. Interact. Des. Manuf., 12: 1167-1178.
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  25. Carfagni, M., L. Fiorineschi, R. Furferi, L. Governi and F. Rotini, 2018. The role of additive technologies in the prototyping issues of design. Rapid Prototyping J., 24: 1101-1116.
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  26. Carfagni, M., F. Facchini, R. Furferi, M. Ghionzoli and L. Governi et al., 2018. A semi-automatic computer-aided method for personalized Vacuum Bell design. Comput.-Aided Des. Applic., 15: 247-255.
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  27. Buonamici, F., R. Furferi, L. Governi, S. Lazzeri and K.S. McGreevy et al., 2018. A practical methodology for computer-aided design of custom 3D printable casts for wrist fractures. Visual Comp., 10.1007/s00371-018-01624-z.
    CrossRef  |  Direct Link  |  
  28. Buonamici, F., R. Furferi, L. Governi, L. Puggelli and Y. Volpe, 2018. Tactile reproduction of paintings: The experience of the Department of Industrial Engineering of Florence. IOP Conf. Ser.: Mater. Sci. Eng., Vol. 364. 10.1088/1757-899X/364/1/012101.
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  29. Buonamici, F., R. Furferi, L. Genitori, L. Governi, A. Marzola, F. Mussa and Y. Volpe, 2018. Reverse engineering techniques for virtual reconstruction of defective skulls: An overview of existing approaches. Comput.-Aided Des. Applic., 16: 103-112.
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  30. Buonamici, F., M. Carfagni, R. Furferi, L. Governi, M. Saccardi and Y. Volpe, 2018. Optimizing fabrication outcome in low-cost FDM machines. Part 2-tests. Manuf. Technol., 18: 552-558.
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  31. Buonamici, F., M. Carfagni, R. Furferi, L. Governi, M. Saccardi and Y. Volpe, 2018. Optimizing fabrication outcome in low-cost FDM machines. Part 1-metrics. Manuf. Technol., 18: 372-378.
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  32. Buonamici, F., M. Carfagni, R. Furferi, L. Governi, A. Lapini and Y. Volpe, 2018. Reverse engineering of mechanical parts: A template-based approach. J. Comput. Des. Eng., 5: 145-159.
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  33. Buonamici, F., M. Carfagni, R. Furferi, L. Governi, A. Lapini and Y. Volpe, 2018. Reverse engineering modeling methods and tools: A survey. Comput.-Aided Des. Applic., 15: 443-464.
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  34. Bartalucci, C., R. Furferi, L. Governi and Y. Volpe, 2018. A survey of methods for symmetry detection on 3D high point density models in biomedicine. Symmetry, Vol. 10, No. 7. 10.3390/sym10070263.
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  35. Bartalucci, C., F. Borchi, M. Carfagni, R. Furferi and L. Governi et al., 2018. LIFE MONZA: Project description and actions' updating. Noise Mapping, 5: 60-70.
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  36. Markevicius, T., N. Olsson, R. Hegelbach, R. Furferi and H. Meyer et al., 2017. New Approaches to An Old Problem: Precision Mild Heat Transfer Method or Nuanced Treatment of Contemporary and Modern Art Works. In: ICOM-CC 18th Triennial Conference Preprints, Copenhagen, 4-8 September 2017, Bridgland, J. (Ed.)., International Council of Museums, France, pp: 1-9.
  37. Furferi, R., L. Governi, M.F. Uccheddu and Y. Volpe, 2017. A RGB-D Based Instant Body-Scanning Solution for Compact Box Installation. In: Advances on Mechanics, Design Engineering and Manufacturing, Eynard, B., V. Nigrelli, S.M. Oliveri, G. Peris-Fajarnes and S. Rizzuti (Eds.)., Springer International Publishing, New York, pp: 819-828.
  38. Furferi, R., L. Ganugi, S. Giurgola, L. Governi, L. Puggelli and Y. Volpe, 2017. Enhancing porcelain whiteware quality assessment by means of reverse engineering-based procedures. Procedia Manuf., 11: 1659-1666.
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  39. Carfagni, M., R. Furferi, L. Governi, M. Servi, F. Uccheddu, Y. Volpe and K. Mcgreevy, 2017. Fast and low cost acquisition and reconstruction system for human hand-wrist-arm anatomy. Procedia Manuf., 11: 1600-1608.
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  40. Carfagni, M., R. Furferi, L. Governi, M. Servi, F. Uccheddu and Y. Volpe, 2017. On the performance of the Intel SR300 depth camera: Metrological and critical characterization. IEEE Sensors J., 17: 4508-4519.
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  41. Carfagni, M., R. Furferi, L. Governi and Y. Volpe, 2017. 3D geometry reconstruction from orthographic views: An improved method exploiting shading information. Comput. Indust., 92: 137-151.
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  42. Buonamici, F., R. Furferi, L. Governi and Y. Volpe, 2017. Designing the architecture of a preliminary system for assisting tactile exploration of bas-reliefs. J. Des. Res., 15: 110-127.
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  43. Furferi, R., R. Conti, E. Meli and A. Ridolfi, 2016. Optimization of potential field method parameters through networks for swarm cooperative manipulation tasks. Int. J. Adv. Robotic Syst., Vol. 13. 10.1177/1729881416657931.
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  44. Furferi, R., M. Carfagni, Y. Volpe and L. Governi, 2016. Nanomaterials-based heating devices for cultural heritage application: A patent survey. Micro Nanosyst., 8: 3-12.
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  45. Furferi, R., L. Governi, Y. Volpe and M. Carfagni, 2016. Carded tow real-time color assessment: A spectral camera-based system. Sensors, Vol. 16. 10.3390/s16091404.
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  46. Furferi, R., L. Governi and Y. Volpe, 2016. Color matching of fabric blends: Hybrid Kubelka-Munk + artificial neural network based method. J. Elect. Imag., Vol. 25. 10.1117/1.JEI.25.6.061402.
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  47. Carfagni, M., R. Furferi, L. Governi , L. Puggelli and Y. Volpe, 2016. Two simple yet effective strategies for avoiding over-smoothing in sfs problem. J. Comput. Sci., 12: 128-140.
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  48. Buonamici, F., M. Carfagni, R. Furferi, L. Governi and Y. Volpe, 2016. Are we ready to build a system for assisting blind people in tactile exploration of bas-reliefs? Sensors, Vol. 16. 10.3390/s16091361.
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  49. Volpe, Y., L. Governi and R. Furferi, 2015. Computer-aided design of new service doors for recreational vehicles. Int. J. Mech., 9: 26-35.
  50. Volpe, Y., L. Governi and R. Furferi, 2015. A computational model for early assessment of padded furniture comfort performance. Hum. Factors Ergon. Manuf., 25: 90-105.
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  51. Tomas, M., F. Rocco, O. Nina, M. Helmut and G. Lapo et al., 2015. Carbon Nanotubes based Intelligent Mobile Accurate Thermo-Electrical Mild Heating Device for Art Conservation. In: Comprehensive Guide for Nanocoatings Technology, Properties and Development, Aliofkhazraei, M. (Ed.)., Nova Science Publishers, Inc., USA., 200-222.
  52. Furferi, R., Y. Volpe and L. Governi, 2015. Machine vision-based pilling assessment: A review. J. Eng. Fibers Fabrics, 10: 79-93.
  53. Buonamici, F., R. Furferi, L. Governi and Y. Volpe, 2015. Making Blind People Autonomous in the Exploration of Tactile Models: A Feasibility Study. In: Universal Access in Human-Computer Interaction: Access to Interaction (Part II), Antona, M. and C. Stephanidis (Eds.)., Springer International Publishing, USA., pp: 82-93.
  54. Volpe, Y., R. Furferi and L. Governi, 2014. Computer-based methodologies for semi-automatic 3D model generation from paintings. Int. J. Computer Aided Eng. Technol., 6: 88-112.
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  55. Volpe, Y., R. Furferi and L. Governi, 2014. A computer-based system for dyeing leather patch edges. In. J. Comput. Aided Eng. Technol., 6: 139-158.
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  56. Rocco, F., G. Lapo, P. Luca and Y. Volpe, 2014. Improved interactive method for reco-vering 2.5D models from single images. J. Comp. Sci., 10: 2141-2154.
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  57. Markevicius, T., R. Furferi, N. Olsson, H. Meyer and L. Governi, 2014. Towards the development of a novel CNTs-based flexible mild heater for art conservation. Nanomater. Nanotechnol., 4: 1-13.
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  58. Lapo, G., F. Rocco, P. Luca and V. Yary, 2014. A practical approach based on shape from shading and fast marching for 3D geometry recovery under oblique illumination. Applied Mech. Mater., 472: 503-509.
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  59. Lapo, G., C. Monica, F. Rocco, P. Luca and V. Yary, 2014. Digital bas-relief design: A novel shape from shading-based method. Comput. Aided Des. Appl., 11: 153-164.
  60. Furferi, R., M. Carfagni, L. Governi, Y. Volpe and P. Bogani, 2014. Towards automated and objective assessment of fabric pilling. Int. J. Adv. Rob. Syst., Vol. 11. 10.5772/59026.
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  61. Furferi, R., L. Governi, Y. Volpe, L. Puggelli, N. Vanni and M. Carfagni, 2014. From 2D to 2.5D i.e. from painting to tactile model. Graphical Models 76: 706-723.
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  62. Furferi, R., L. Governi, N. Vann and Y. Volpe, 2014. Tactile 3D bas-relief from single-point perspective paintings: A computer based method. J. Inf. Comput. Sci., 11: 5667-5680.
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  63. Meyer, H., K. SAborowski, T. Markevicius, N. Olsson, R. Furferi and M. Carfagni, 2013. Carbon nanotubes in art conservation. Int. J. Conserv. Sci., 5: 633-646.
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  64. Lapo, G., F. Rocco, P. Luca and V. Yary, 2013. Detecting intersection zones in thread-like 3D voxel clouds: A novel algorithm based on neighbourhood tracing. J. Inf. Comput. Sci., 10: 2187-2197.
  65. Governi, L., R. Furferi,M. Palai and Y. Volpe, 2013. 3D geometry reconstruction from orthographic views: A method based on 3D image processing and data fitting. Comput. Ind., 64: 1290-1300.
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  66. Governi, L., R. Furferi, L. Puggelli and Y. Volpe, 2013. Improving surface reconstruction in shape from shading using easy-to-set boundary conditions. Int. J. Comput. Vision Rob., 3: 225-247.
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  67. Furferi, R., L. Governi, Y. Volpe and M. Carfagni, 2013. Design and assessment of a machine vision system for automatic vehicle wheel alignment. Int. J. Adv. Rob. Syst., Vol. 10. 10.5772/55928.
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  68. Furferi, R., L. Governi and Y. Volpe, 2013. Image processing-based method for glass tiles colour matching. Imaging Sci. J., 61: 183-194.
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  69. Carfagni, M., R. Furferi, L. Governi and Y. Volpe, 2013. A vane-motor automatic design procedure. Int. J. Interact. Des. Manufact., 7: 147-157.
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  70. Markevicius, T., N. Olsson, R. Furferi and H. Meyer, 2012. Flexible mild heaters in structural conservation of paintings: state of the art and conceptual design of a new carbon nanotubes-based heater. J. Applied Sci., 12: 211-220.
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  71. Governi, L., R. Furferi and Y. Volpe, 2012. A genetic algorithms-based procedure for automatic tolerance allocation integrated in a commercial variation analysis software. J. Artif. Intell., 5: 99-112.
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  72. Furferi, R., L. Governi and Y. Volpe, 2012. Modelling and simulation of an innovative fabric coating process using artificial neural networks. Textile Res. J., 82: 1282-1294.
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  73. Furferi, R., L. Governi and Y. Volpe, 2012. A novel method for ring spinning performance evaluation based on computer aided analysis of yarn geometry. Int. J. Mech., 6: 212-221.
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  74. Rocco, F., 2011. Technical textiles based on regenerated wool: Process and test of a new generation of fabrics. Asian J. Text., 1: 42-49.
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  75. Furferi, R., L. Governi, M. Palai and Y. Volpe, 2011. The reconstruction problem: Integrating different approaches into a systematic procedure for pseudo wireframe retrieval. J. Geometry Graph., 15: 79-91.
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  76. Furferi, R., L. Governi, M. Palai and Y. Volpe, 2011. Multiple Incident Splines (MISs) algorithm for topological reconstruction of 2D unordered point clouds. Int. J. Math. Comput. Simul., 5: 171-179.
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  77. Furferi, R., L. Governi, M. Palai and Y. Volpe, 2011. 3D model retrieval from mechanical drawings analysis. Int. J. Mech., 5: 91-99.
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  78. Furferi, R., L. Governi and Y. Volpe, 2011. Neural Network based classification of car seat fabrics. Int. J. Math. Models Methods Applied Sci., 5: 696-703.
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  79. Furferi, R., 2011. Colour classification method for recycled melange fabrics. J. Applied Sci., 11: 236-246.
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  80. Furferi, R. and M. Carfagni, 2011. A Machine Vision System for Real-Time and Automatic Assessment of Olives Colour and Surface Defects. In: Computer Systems, Support and Technology, Mastorakis, N.E. (Ed.). Nova Science Publisher, Hauppauge, NY., USA., ISBN: 978-1-61122-759-8, pp: 237-254.
  81. Furferi, R. and L. Governi, 2011. Prediction of the spectrophotometric response of a carded fiber composed by different kinds of coloured raw materials: An artificial neural network-based approach. Color Res. Applic., 36: 179-191.
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  82. Carfagni, M., R. Furferi, E. Cini, M. Migliorini, M. Daou, C. Cherubini and P. Boncinelli, 2011. Computers and Electronics in Innovative Olive Oil Mill Production Chain: Development of Integrated Hardware+Software Systems for Control, Simulation, Estimation and Enhancement of Olive Oil Quality. In: Agriculture Research and Technology, Bundgaard, K. and L. Isaksen (Eds.). Chapter 1, Nova Science Publishers Inc., Hauppauge, NY., USA., ISBN: 9781607418504, pp: 1-82.
  83. Rocco, F. and G. Maurizio, 2010. Copper and cashmere: A winning combination for the textile sector? J. Text. Eng., 56: 159-161.
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  84. Furferi, R., L. Governi, M. Palai and Y. Volpe, 2010. From 2D orthographic views to 3D Pseudo-wireframe: An automatic procedure. Int. J. Comput. Applic., 5: 18-24.
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  85. Furferi, R., L. Governi and Y. Volpe, 2010. ANN-based method for olive Ripening Index automatic prediction. J. Food Eng., 101: 318-328.
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  86. Furferi, R. and M. Gelli, 2010. Yarn strength prediction: A practical model based on artificial neural networks. Adv. Mechan. Eng., Vol. 2. 10.1155/2010/640103.
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  87. Furferi, R. and M. Carfagni, 2010. Prediction of the color and of the color solidity of a jigger-dyed cellulose-based fabric: A cascade neural network approach. Text. Res. J., 80: 1682-1696.
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  88. Furferi, R. and M. Carfagni, 2010. Colour mixing modelling and simulation: Optimization of colour recipe for carded fibres. Modell. Simul. Eng., Vol. 2010. 10.1155/2010/487678.
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  89. Furferi, R. and M. Carfagni, 2010. An as-short-as-possible mathematical assessment of spectrophotometric color matching. J. Applied Sci., 10: 2108-2114.
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  90. Carfagni, M. and R. Furferi, 2009. A machine vision system for real-time and automatic assessment of olives colour and surface defects. Int. J. Comput. Res., 17: 303-320.
  91. Furferi, R., M. Carfagni and M. Daou, 2008. Real-time estimation of peroxides and acidity level of extra-virgin olive oil: An integrated approach. Int. J. Math. Comput. Simulat., 2: 206-214.
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  92. Furferi, R. and L. Governi, 2008. The recycling of wool clothes: An artificial neural network colour classification tool. Int. J. Adv. Manufacturing Technol., 37: 722-731.
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  93. Furferi, R. and L. Governi, 2008. Machine vision tool for real-time detection of defects on textile raw fabrics. J. Text. Inst., 99: 57-66.
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  94. Furferi, R., M. Carfagni and M. Daou, 2007. Artificial neural network software for real-time estimation of olive oil qualitative parameters during continuous extraction. Comput. Electronics Agric., 56: 830-842.
  95. Daou, M., R. Furferi, L. Recchia and E. Cini, 2007. A modelling approach to extra virgin olive oil extraction. J. Agric. Eng., 38: 11-20.
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  96. Carfagni, M. and R. Furferi, 2007. The colorimetric measurement of melange woollen yarns: A new optical tool. J. Eng. Applied Sci., 2: 877-881.
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  98. Furferi, R., M. Carfagni and F. Miniati, 2005. Design and optimization of a new range of low sound emission generating set. Electronic J. Tech. Acoustic, .
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  99. Furferi, R. and A. Galasso, 2005. Measuring pile depth in real time. Tinctoria, 3: 40-46.
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