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Andrés Redchuk, Federico Walas Mateo, Guadalupe Pascal and Julian Eloy Tornillo
Considering the novel concept of Industry 5.0 model, where sustainability is aimed together with integration in the value chain and centrality of people in the production environment, this article focuses on a case where energy efficiency is achieved. Th...
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Fahim Sufi
Algorithms have evolved from machine code to low-code-no-code (LCNC) in the past 20 years. Observing the growth of LCNC-based algorithm development, the CEO of GitHub mentioned that the future of coding is no coding at all. This paper systematically revi...
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Krishna Raj Raghavendran and Ahmed Elragal
In the context of developing machine learning models, until and unless we have the required data engineering and machine learning development competencies as well as the time to train and test different machine learning models and tune their hyperparamet...
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José Metrôlho, Fernando Ribeiro, Paula Graça, Ana Mourato, David Figueiredo and Hugo Vilarinho
Several approaches have been proposed to reduce the gap between software engineering education and the needs and practices of the software industry. Many of them aim to promote a more active learning attitude in students and provide them with more realis...
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Andrés Redchuk and Federico Walas Mateo
This article took the case of the adoption of a Machine Learning (ML) solution in a steel manufacturing process through a platform provided by a Canadian startup, Canvass Analytics. The content of the paper includes a study around the state of the art of...
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Mauro A. A. da Cruz, Heitor T. L. de Paula, Bruno P. G. Caputo, Samuel B. Mafra, Pascal Lorenz and Joel J. P. C. Rodrigues
Low-code is an emerging concept that transforms visual representations into functional software, allowing anyone to be a developer. However, building a low-code platform from scratch can be challenging concerning the scarce available literature about the...
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