scispace - formally typeset
J

Jose Barata

Researcher at University of Lisbon

Publications -  326
Citations -  4741

Jose Barata is an academic researcher from University of Lisbon. The author has contributed to research in topics: Multi-agent system & Context (language use). The author has an hindex of 32, co-authored 309 publications receiving 3978 citations. Previous affiliations of Jose Barata include Universidade Nova de Lisboa & Nova Southeastern University.

Papers
More filters
Journal ArticleDOI

Industrial Artificial Intelligence in Industry 4.0 - Systematic Review, Challenges and Outlook

TL;DR: In this article, a systematic review of current Industrial Artificial Intelligence literature is presented, focusing on its application in real manufacturing environments to identify the main enabling technologies and core design principles, along with a set of key challenges and opportunities to be addressed by future research efforts.
Journal ArticleDOI

Service-Oriented Infrastructure to Support the Deployment of Evolvable Production Systems

TL;DR: The present work exploits the association of EPS and SOA paradigms in the pursuit of a common architectural solution to support the different phases of the device lifecycle to form a modular, adaptive and open infrastructure forming a complete SOA ecosystem.
Journal ArticleDOI

The IDEAS project: plug & produce at shop‐floor level

TL;DR: In this article, current major roadmapping efforts have all clearly underlined that true industrial sustainability will require far higher levels of systems' autonomy and adaptability, in accordance with...
Journal ArticleDOI

IDARTS – Towards intelligent data analysis and real-time supervision for industry 4.0

TL;DR: The proposed Intelligent Data Analysis and Real-Time Supervision (IDARTS) framework presents the guidelines for the implementation of scalable, flexible and pluggable data analysis and real-time supervision systems for manufacturing environments.
Journal ArticleDOI

Digital transformation of manufacturing through cloud services and resource virtualization

TL;DR: How the digital transformation of manufacturing is speeded up by two important drivers: cloud services and resource virtualization is analyzed, which are vital for implementing the main building blocks - Cyber Physical Production Systems and Industrial Internet of Things - in the “Industry of the future” framework.