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Vicente Ferreira de Lucena

Researcher at Federal University of Amazonas

Publications -  93
Citations -  647

Vicente Ferreira de Lucena is an academic researcher from Federal University of Amazonas. The author has contributed to research in topics: Computer science & Digital television. The author has an hindex of 11, co-authored 83 publications receiving 442 citations. Previous affiliations of Vicente Ferreira de Lucena include University of Stuttgart & Universidade Federal de Minas Gerais.

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Proceedings ArticleDOI

A Digital Twin Architecture Based on the Industrial Internet of Things Technologies

TL;DR: This work proposes guidelines to design a Digital Twin architecture using Industrial Internet of Things and the integration of current technologies, applying these aspects in an experimental application.
Journal ArticleDOI

A Review of Technologies and Techniques for Indoor Navigation Systems for the Visually Impaired.

TL;DR: This paper presents an expansion of the range of technologies and methodologies for assisting the visually impaired, providing readers and researchers with a more recent version of what was done and the advantages and disadvantages of each approach to guide reviews and discussions about these topics.
Proceedings ArticleDOI

Strategies for Agile Software Testing Automation: An Industrial Experience

TL;DR: Three testing automation strategies applied to three different software projects adopting Scrum agile methodology indicated positive agile practices to be considered when adopting testing automation strategy, such as team collaboration, task distribution, testing tools, knowledge managements.
Proceedings ArticleDOI

Software test automation practices in agile development environment: an industry experience report

TL;DR: Empirical observations and the challenges of a test team new to agile practices and Test Automation using open source testing tools integrated in software projects that use the Scrum methodology are presented.
Journal ArticleDOI

Fall Detection System by Machine Learning Framework for Public Health

TL;DR: This paper proposes a low cost and more accessible system for fall detection using inertial sensors, which will advise any person around the elder about the fall and has potential to be used to detect falls.