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SERVICES

DIHGIGAL, Support and/or implementation of feature selection techniques

TYPE
Data, AI & Technology, Proof-of-Concept (PoC) Research & Development
REGION
Spain, Galicia
LANGUAGE
Temporal lags

In complex manufacturing process that are candidates for moleding using Deep Learning techniques, a key step is to select the most important variables to make such a model. This service will advice or collaborate with SMEs to identify such variables.

SERVICE DESCRIPTION

The service will help SMEs to identify the most important monitored variables of their processes for building Deep Learning techniques or identify key parameters. This is an important step when thre is no enough knowledge about the manufacturing processes, or there are a large number of variables to analyse and there exists the need of reducing them. The service will use the most modern techniques, taking into account temporal lags when are needed.

SPECIAL ACCESS CONDITIONS

English, Spanish, Galician

PREREQUISITES

SME must have enough data for the analysis, and/or the capability of measuring the key parameters.

SERVICE CAN BE COMBINED WITH

Support in the deployment of the data strategy and policy. Identification of data challenges, priorization and planification.

LINKS

N/A

SERVICE OFFERED BY

MEMBER
DIHGIGAL
TYPE
DIH
COUNTRY
Spain

MORE INFORMATION ABOUT THIS SERVICE

Data Controller: INSTITUTO TECNOLÓGICO DE INFORMÁTICA (G96278734)
Purposes and legal basis: We will use your personal data to contact you back and answer your inquiries and provide you with information regarding our activity and in connection with our developments, research and services.
Data recipients: Your personal data will only be shared with the DIH your inquiry or information request may concern.
Rights: Regarding your personal data you have the right to access, rectify, erase, data portability, restrict processing , object, consent withdrawal and to file a complaint before the Supervisory Authority. More info
Exercise of rights: You can exercise the aforementioned rights by sending an e-mail to the e-mail address: dpo@iti.es or by sending a letter to the address Camino de Vera s/n, CPI Edif. 8, Acceso B, 46022 Valencia (Spain).