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Science Alert
 
    Publisher: Asian Network for Scientific Information
   
  Journal of Applied Sciences seeks to promote and disseminate the knowledge by publishing original research findings, review articles and short communications in the broad field of applied sciences. Scope of the journal includes: Biology, chemistry, physics, environmental, business and economics, finance, mathematics and statistics, geology, engineering, computer science, social sciences, natural and technological sciences, linguistics, medicine and architecture, food science, environmental science, agricultural engineering. Journal of Applied Sciences now accepting new submissions. Submit your best paper via online submission system.
  Editor-in-Chief:  Gazi Mahabubul Alam
 
 
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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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.
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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.
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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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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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Volpe, Y., L. Governi and R. Furferi, 2015. Computer-aided design of new service doors for recreational vehicles. Int. J. Mech., 9: 26-35.