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A federated learning method for real-time emotion state classification from multi-modal streaming
(Elsevier, 2022-03-18)
Article
Restricted access - publisher's policyEmotional and physical health are strongly connected and should be taken care of simultaneously to ensure completely healthy persons. A person’s emotional health can be determined by detecting emotional states from various ... -
Large scale prediction of sick leave duration with nonlinear survival analysis algorithms
(2022-07-15)
Article
Restricted access - publisher's policyThe management of sick leaves is a critical task that public and private health systems carry out. This enables the good care of sick workers and guarantees a safe return to their jobs. Most health systems enforce regulations ... -
Heuri: a Scrabble© playing engine using a probability-based heuristic
(2022-02-16)
Article
Open AccessThe game of Scrabble has been successfully tackled by two engines: Quackle and Maven. They attain the state-of-the-art in Computer Scrabble. These engines use simulation techniques and precalculated values to achieve ... -
Bootstrap–CURE: A novel clustering approach for sensor data: an application to 3D printing industry
(2022-02-19)
Article
Open AccessThe agenda of Industry 4.0 highlights smart manufacturing by making machines smart enough to make data-driven decisions. Large-scale 3D printers, being one of the important pillars in Industry 4.0, are equipped with smart ... -
Operational modes detection in industrial gas turbines using an ensemble of clustering methods
(2021-12-01)
Article
Open AccessOperational modes of a process are described by a number of relevant features that are indicative of the state of the process. Hundreds of sensors continuously collect data in industrial systems, which shows how the ... -
Adaptive optics control with multi-agent model-free reinforcement learning
(2022-01-14)
Article
Open AccessWe present a novel formulation of closed-loop adaptive optics (AO) control as a multi-agent reinforcement learning (MARL) problem in which the controller is able to learn a non-linear policy and does not need a priori ... -
Machine-learning-based condition assessment of gas turbine: a review
(2021-12-15)
Article
Open AccessCondition monitoring, diagnostics, and prognostics are key factors in today’s competitive industrial sector. Equipment digitalisation has increased the amount of available data throughout the industrial process, and the ... -
Network neighbors of viral targets and differentially expressed genes in COVID-19 are drug target candidates
(Nature, 2021-09-23)
Article
Open AccessThe COVID-19 pandemic is raging. It revealed the importance of rapid scientific advancement towards understanding and treating new diseases. To address this challenge, we adapt an explainable artificial intelligence algorithm ... -
Linear functional organization of the omic embedding space
(2021-11-01)
Article
Open AccessMotivation: We are increasingly accumulating complex omics data that capture different aspects of cellular functioning. A key challenge is to untangle their complexity and effectively mine them for new biomedical information. ... -
Condition assessment of industrial gas turbine compressor using a drift soft sensor based in autoencoder
(Multidisciplinary Digital Publishing Institute (MDPI), 2021-04-12)
Article
Open AccessMaintenance is the process of preserving the good condition of a system to ensure its reliability and availability to perform specific operations. The way maintenance is nowadays performed in industry is changing thanks ... -
Size & shape matters: The need of HPC benchmarks of high resolution image training for deep learning
(2021-03)
Article
Open AccessOne of the purposes of HPC benchmarks is to identify limitations and bottlenecks in hardware. This functionality is particularly influential when assessing performance on emerging tasks, the nature and requirements of which ... -
The organisational structure of an agent-based model for the management of wastewater systems
(2021-04-30)
Article
Open AccessWater managers have to deal with complex problems due to the intertwined characteristics of processes, in particular those that occur in wastewater systems. Existing modelling approaches are usually centred in the physical, ...
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