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Mostrando ítems 141-150 de 164
Artículo
The RALph miner for automated discovery and verification of resource-aware processmodels
(Springer, 2020)
Automated process discovery is a technique that extractsmodels of executed processes from event logs. Logs typically include information about the activities performed, their timestamps and the resources that were involved ...
Artículo
Non-obtrusive system for overnight respiration and heartbeat tracking
(ScienceDirect, 2020)
Polysomnography is a gold standard for a sleep study, and it provides very accurate results, but its cost (both personnel and material) are quite high. Therefore, the development of a low-cost system for overnight breathing ...
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Artículo
An MDA Proposal To Integrate the Measurement Lifecycle Into the Process Lifecycle
(River Publishers, 2021-10-22)
Measuring the Software Development Process (SDP) supports organizations in their endeavor to understand, manage, and improve their development processes and projects. In the last decades, the SDP has evolved to meet the ...
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Model Transformation Testing and Debugging: A Survey
(ACM Digital Library, 2022-11-21)
Model transformations are the key technique in Model-Driven Engineering (MDE) to manipulate and construct models. As a consequence, the correctness of software systems built with MDE approaches relies mainly on the correctness ...
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Robotic Process Automation: A Scientific and Industrial Systematic Mapping Study
(IEEE Computer Society, 2020)
The automation of robotic processes has been experiencing an increasing trend of interest in recent times. However, most of literature describes only theoretical foundations on RPA or industrial results after implementing ...
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A unified model representation of machine learning knowledge
(Rinton Press, 2020)
Nowadays, Machine Learning (ML) algorithms are being widely applied in virtually all possible scenarios. However, developing a ML project entails the effort of many ML experts who have to select and configure the appropriate ...
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DirectDebug: A software package for the automated testing and debugging of feature models
(Elsevier, 2021)
Complex and large-scale feature models can become faulty, i.e., do not represent the expected variability properties of the underlying software artifact. In this paper, we propose the DirectDebug algorithm that supports ...
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Data streams classification using deep learning under different speeds and drifts
(Oxford University Press, 2022)
Processing data streams arriving at high speed requires the development of models that can provide fast and accurate predictions. Although deep neural networks are the state-of-the-art for many machine learning tasks, ...
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When business processes meet complex events in logistics: A systematic mapping study
(Elsevier, 2022)
Logistics processes are attracting growing attention because of the globalisation of the market. Its growing complexity and the need for reducing costs have provoked the seek of new solutions based on the processing of the ...