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.CrossRef | Direct Link |
Carfagni, M. and R. Furferi, 2007. The colorimetric measurement of melange woollen yarns: A new optical tool. J. Eng. Applied Sci., 2: 877-881.CrossRef | Direct Link |
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.CrossRef | Direct Link |
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.CrossRef | Direct Link |
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.CrossRef | Direct Link |
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.Direct Link |
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.CrossRef | Direct Link |
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.CrossRef | Direct Link |
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.CrossRef |
Furferi, R. and M. Carfagni, 2010. An as-short-as-possible mathematical assessment of spectrophotometric color matching. J. Applied Sci., 10: 2108-2114.CrossRef | Direct Link |
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.CrossRef |
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.CrossRef | Direct Link |
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.CrossRef |
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. .Direct Link |
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.CrossRef | Direct Link |
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, .Direct Link |
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.
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.Direct Link |
Furferi, R., Y. Volpe and L. Governi, 2015. Machine vision-based pilling assessment: A review. J. Eng. Fibers Fabrics, 10: 79-93.
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.
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.Direct Link |
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.Direct Link |
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.CrossRef | Direct Link |
Volpe, Y., L. Governi and R. Furferi, 2015. Computer-aided design of new service doors for recreational vehicles. Int. J. Mech., 9: 26-35.