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Anthropometric data of Chilean male workers

By Castellucci, H.I.; Viviani, C.A.; Molenbroek, J.F.M.; Arezes, P.M.; Mart&bso

Advances in Intelligent Systems and Computing

2019

Abstract

No abstract available.

ALGORITMI Members

Pedro Miguel Ferreira Martins Arezes
Hector Ignacio Castellucci
Sara Tatiana de Almeida Bragança de Miranda e Lopes

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Latest news / Últimas notícias:

Best Poster Award na IEEE IROS 2019

O trabalho "A dynamic neural model for endowing intelligent cars with the ability to learn driver routines: where to go, when [+]

Filomena Soares oradora convidada no 2019 Women in IES Forum in Europe

A Professora Filomena Soares, investigadora do grupo IE/CAR do Centro ALGORITMI foi uma das oradoras convidadas no 2019 [+]

Sandro Pinto membro do grupo IE/ESRG em destaque no 2019 RISC-V Summit

Dr. Sandro Pinto, Investigador do Embedded Systems Research Group (ESRG) do Centro ALGORITMI/Universidade do Minho será um dos [+]

Colaborador do Grupo IEM recebe prémio de melhor apresentação de doutoramento com o paper “Rediscovering Quality in unstable and complex business environments”

André Mendes de Carvalho, aluno de doutoramento do Programa MIT Portugal, recebeu a semana passada em Lisboa, no [+]

Prémio de melhor artigo da 49th International Conference on Computers & Industrial Engineering atribuído a investigadores do grupo IEM

O artigo “Quality Control Strategy Based on Quality Cost Models with Uncertain Parameters”, dos autores Sérgio Sousa e [+]

Colaboradores do grupo Industrial Electronics (Lab Control, Automation and Robotics) premiados na ICCBC 2019

Os colaboradores de investigação do grupo Industrial Electronics (Lab Control, Automation and Robotics),  Weronika Wojtak, Flora Ferreira e Paulo [+]

José Valença, primeiro Diretor do ALGORITMI, deu a última aula na última sexta-feira.

José Manuel Esgalhado Valença, primeiro Diretor do Centro ALGORITMI, deu a última aula na última sexta-feira.     Foto: [+]

António Vieira, membro do Lab SLOTS, finaliza doutoramento

Tema da tese: Real-Time Simulation of Supply Chain Processes Supported by Big Data in an Industry 4.0 Context Autor: António Amaro [+]

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Website Credits

Universidade do Minho Compete QREN European Union FCT

This work has been supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT – Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2013.

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