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A portable ECG for recording and flexible development of algorithms and stress detection
(ScienceDirect, 2020)
Cardiovascular diseases are directly or indirectly responsible for up to 38.5% of all deaths in Germany and thus represent the most frequent cause of death. At present, heart diseases are mainly discovered by chance during ...
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An Experimental Review on Deep Learning Architectures for Time Series Forecasting
(World Scientific, 2021)
In recent years, deep learning techniques have outperformed traditional models in many machine learning tasks. Deep neural networks have successfully been applied to address time series forecasting problems, which is a ...
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Lean requirements traceability automation enabled by model-driven engineering
(PeerJ, 2022)
Background: The benefits of requirements traceability, such as improvements in software product and process quality, early testing, and software maintenance, are widely described in the literature. Requirements traceability ...
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Hybridizing humans and robots: An RPA horizon envisaged from the trenches
(Elsevier, 2022)
After the initial hype on RPA, companies have more realistic expectations of this technology. Its current mature vision relegates the end-to-end robotic automation to a less suitable place and considers the human-robot ...
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ARTE: Automated Generation of Realistic Test Inputs for Web APIs
(IEEE Computer Society, 2022)
Automated test case generation for web APIs is a thriving research topic, where test cases are frequently derived from the API specification. However, this process is only partially automated since testers are usually ...
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Unleashing Constraint Optimisation Problem solving in Big Data environments
(Elsevier, 2020)
The application of the optimisation problems in the daily decisions of companies is able to be used for finding the best management according to the necessities of the organisations. However, optimisation problems imply ...
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Automated Validation of Compensable SLAs
(IEEE Computer Society, 2021)
A Service Level Agreement (SLA) regulates the provisioning of a service by defining a set of guarantees. Each guarantee sets a Service Level Objective (SLO) on some service metrics, and optionally a compensation that is ...
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Machine learning regression to boost scheduling performance in hyper-scale cloud-computing data centres
(Elsevier, 2022)
Data centres increase their size and complexity due to the increasing amount of heterogeneous work loads and patterns to be served. Such a mix of various purpose workloads makes the optimisation of resource management ...
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Autoencoded DNA methylation data to predict breast cancer recurrence: Machine learning models and gene-weight significance
(Elsevier, 2020)
Breast cancer is the most frequent cancer in women and the second most frequent overall after lung cancer. Although the 5-year survival rate of breast cancer is relatively high, recurrence is also common which often ...
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Known by Who We Follow: A Biclustering Application to Community Detection
(IEEE Computer Society, 2020)
The detection of communities in social networks is a task with multiple applications both in research and in sectors such as marketing and politics among others. In this paper, we address the task of detecting on-line ...