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Publications

Publications by CRIIS

2022

Robotics for Sustainable Future

Authors
Chugo, D; Tokhi, MO; Silva, MF; Nakamura, T; Goher, K;

Publication
Lecture Notes in Networks and Systems

Abstract

2022

TEACHING EMBEDDED/IOT TO ALL ENGINEERS

Authors
Ferreira, P; Malheiro, B; Silva, M; Borges Guedes, P; Justo, J; Ribeiro, C; Duarte, A;

Publication
EDULEARN Proceedings - EDULEARN22 Proceedings

Abstract

2022

THE EPS@ISEP PROGRAMME: A GLOBALISATION AND INTERNATIONALISATION EXPERIENCE

Authors
Ferreira, P; Malheiro, B; Silva, M; Borges Guedes, P; Justo, J; Ribeiro, C; Duarte, A;

Publication
EDULEARN Proceedings - EDULEARN22 Proceedings

Abstract

2022

The Latest Advances on AI and Robotics Applications

Authors
Silva, M;

Publication
Journal of Artificial Intelligence and Technology

Abstract
[No abstract available]

2022

Integrating Computer Vision, Robotics, and Artificial Intelligence for Healthcare

Authors
Costa, T; Coelho, L; Silva, MF;

Publication
Advances in Medical Technologies and Clinical Practice

Abstract
Technological evolution has allowed that tasks, usually performed by humans, can now be performed accurately by automated systems, often with superior performance. The healthcare area has been paradigmatic in the automation of processes, as the need to optimize costs, ensuring the provision of quality care, is crucial for the success of organizations. Diabetes, whose prevalence has increased significantly in the last decade, could be a case of application of several technologies that facilitate diagnosis, tracking and monitoring. Such tasks demand a great effort from health systems, requiring the allocation of material, human and financial resources, under penalty of worsening symptoms and emergence of serious complications. In this chapter the authors will present and explore how different technologies can be integrated to provide better healthcare, ensuring quality and safety standards, with reference to the case of diabetes.

2022

On the development and deployment of an IIoT Infrastructure for the Fish Canning Industry

Authors
Teixeira, S; Arrais, R; Dias, R; Veiga, G;

Publication
Procedia Computer Science

Abstract

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