Downloads provided by UsageCounts
TALENT (Research in Machine Learning techniques applied for open issues within the Industrial Manufacturing sector) is a project funded by the Valencian Institute for Business Competitiveness (IVACE) and the European Union through the European Regional Development Fund (FEDER). The general objective of this project is to advance in the design, implementation and industrialization of contact-free and occlusions-free automated inspection systems, introducing Machine Learning techniques. This will enable companies of the Valencia Region to increase product quality guarantees and thus strengthen their market position. This document contains a summary of the achieved results after the execution of a project in the line of research of applying machine learning techniques to solve different challenges proposed in the industrial sector in order to assess quality of parts manufactured in production lines.
TALENT. Project funded by the Valencian Institute of Business Competitiveness (IVACE) and European Union through the European Regional Development Fund (ERDF), within the public grant program adressed to Technological Institutes of the Valencian Community for the development of non-economic R&D projects carried out in cooperation with companies during 2017 with 199.670,64€. File number: IMDEEA/2017/90
industry, 2017, web app, video, demo, TALENT, machine learning, metrology, quality control, defect detention, 3D
industry, 2017, web app, video, demo, TALENT, machine learning, metrology, quality control, defect detention, 3D
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 4 | |
| downloads | 1 |

Views provided by UsageCounts
Downloads provided by UsageCounts