Hi, I am Rocco Furferi, My LiveDNA is 39.363
 
   
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Dr. Rocco Furferi
 
Highest Degree: Ph.D. in Machine Design and Construction from University of Florence, Italy
 
Institute: University of Florence, Italy
 
Area of Interest: Engineering
  •   Mechanical Engineering
  •   Modelling
  •   Simulation and Modeling
  •   Textile Engineering
 
URL: http://livedna.org/39.363
 
My SELECTED Publications
1:   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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2:   Carfagni, M., R. Furferi and L. Governi, 2005. A real-time machine-vision system for monitoring the textile raising process. Comput. Ind., 56: 831-842.
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3:   Furferi, R. and L. Governi, 2006. Development of an artificial vision inspection system for real-time defect detection and classification on circular knitting machines. Wseas Trans. Comput., 5: 1186-1194.
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4:   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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5:   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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6:   Furferi, R. and L. Governi, 2010. Prediction of the spectrophotometric response of a carded fibre composed by different kind of differently coloured raw materials: An artificial neural network based approach. Color Res. Appl., DOI: 10.1002/col.20623.
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7:   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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8:   Furferi, R. and M. Carfagni, 2010. Prediction of the colour and of the colour solidity of a jigger dyed cellulose based fabric: A cascade neural network approach. Textile Res. J., DOI: 10.1177/0040517510365952.
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9:   Furferi, R., L. Governi and Y. Volpe, 2010. ANN-based method for olive ripening index automatic prediction J. Food Eng., DOI: 10.1016/j.jfoodeng.2010.07.016.
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10:   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. .
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11:   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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12:   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.
13:   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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14:   Furferi, R., Y. Volpe and L. Governi, 2015. Machine vision-based pilling assessment: A review. J. Eng. Fibers Fabrics, 10: 79-93.
15:   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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16:   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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17:   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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18:   Volpe, Y., L. Governi and R. Furferi, 2015. Computer-aided design of new service doors for recreational vehicles. Int. J. Mech., 9: 26-35.