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Mostrando ítems 51-60 de 166
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A new big data triclustering approach for extracting three-dimensional patterns in precision agriculture
(Elsevier, 2022)
Precision agriculture focuses on the development of site-specific harvest considering the variability of each crop area. Vegetation indices allow the study and delineation of different characteristics of each field zone, ...
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Combining multiple granularity variability in a software product line approach for web engineering
(Elsevier, 2022)
Context: Web engineering involves managing a high diversity of artifacts implemented in different languages and with different levels of granularity. Technological companies usually implement variable artifacts of Software ...
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Data curation in the Internet of Things: A decision model approach
(Wiley, 2021)
Current Internet of Things (IoT) scenarios have to deal with many challenges especially when a large amount of heterogeneous data sources are integrated, that is, data curation. In this respect, the use of poor-quality ...
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TANDEM: A Taxonomy and a Dataset of Real-World Performance Bugs
(IEEE Computer Society, 2020)
The detection of performance bugs, like those causing an unexpected execution time, has gained much attention in the last years due to their potential impact in safety-critical and resource-constrained applications. Much ...
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Extrapolation of weight from smart scale data
(ScienceDirect, 2021)
In the area of human digital twins, the designed model should be as close as possible to the reality. The weight variable is one of the interested parameters of these mathematical models, as well as its interaction with ...
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gPROFIT: A Tool to Assist the Automatic Extraction of Business Knowledge From Legacy Information Systems
(IEEE Computer Society, 2021)
Business digitization is a crucial strategy for business growth in the 21st century. Its bene ts include improving business process automation, customer satisfaction, productivity, decision-making, turnover, and adaptation ...
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Asynchronous dual-pipeline deep learning framework for online data stream classification
(IOS Press, 2020)
Data streaming classification has become an essential task in many fields where real-time decisions have to be made based on incoming information. Neural networks are a particularly suitable technique for the streaming ...
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A cloud-based integration platform for enterprise application integration: A Model-Driven Engineering approach
(John Wiley & Sons, 2020-10)
This article addresses major information systems integration problems, approaches, technologies, and tools within the context of Model-Driven Software Engineering. The Guaraná integration platform is introduced as an ...
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Generative adversarial networks for anonymized healthcare of lung cancer patients
(MDPI, 2021)
The digital twin in health care is the dynamic digital representation of the patient’s anatomy and physiology through computational models which are continuously updated from clinical data. Furthermore, used in combination ...
Artículo
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Empirical software product line engineering: A systematic literature review
(Elsevier, 2020)
Context: The adoption of Software Product Line Engineering (SPLE) is usually only based on its theoretical benefits instead of empirical evidences. In fact, there is no work that synthesizes the empirical studies on SPLE. ...