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Anomaly detection in gas turbines using outlet energy analysis with cluster-based matrix profile
(2024-01-30)
Article
Accés obertGas turbines play a key role in generating power. It is really important that they work efficiently, safely, and reliably. However, their performance can be adversely affected by factors such as component wear, vibrations, ... -
AI lifecycle zero-touch orchestration within the edge-to-cloud continuum for industry 5.0
(Multidisciplinary Digital Publishing Institute (MDPI), 2024-02-02)
Article
Accés obertThe advancements in human-centered artificial intelligence (HCAI) systems for Industry 5.0 is a new phase of industrialization that places the worker at the center of the production process and uses new technologies to ... -
Explaining the behaviour of reinforcement learning agents in a multi-agent cooperative environment using policy graphs
(2024-01-31)
Article
Accés obertThe adoption of algorithms based on Artificial Intelligence (AI) has been rapidly increasing during the last few years. However, some aspects of AI techniques are under heavy scrutiny. For instance, in many use cases, it ... -
Advances in the use of deep learning for the analysis of magnetic resonance image in neuro-oncology
(Multidisciplinary Digital Publishing Institute (MDPI), 2024-01-10)
Article
Accés obertMachine Learning is entering a phase of maturity, but its medical applications still lag behind in terms of practical use. The field of oncological radiology (and neuro-oncology in particular) is at the forefront of these ... -
Ad-RuLer: A novel rule-driven data synthesis technique for imbalanced classification
(Multidisciplinary Digital Publishing Institute, 2023-11-23)
Article
Accés obertWhen classifiers face imbalanced class distributions, they often misclassify minority class samples, consequently diminishing the predictive performance of machine learning models. Existing oversampling techniques predominantly ... -
GPCR molecular dynamics forecasting using recurrent neural networks
(Springer Nature, 2023)
Article
Accés obertG protein-coupled receptors (GPCRs) are a large superfamily of cell membrane proteins that play an important physiological role as transmitters of extracellular signals. Signal transmission through the cell membrane depends ... -
Assessing biases through visual contexts
(2023-07)
Article
Accés obertBias detection in the computer vision field is a necessary task, to achieve fair models. These biases are usually due to undesirable correlations present in the data and learned by the model. Although explainability can ... -
A multi-omics integrative approach unravels novel genes and pathways associated with senescence escape after targeted therapy in NRAS mutant melanoma
(2023-07-07)
Article
Accés obertTherapy Induced Senescence (TIS) leads to sustained growth arrest of cancer cells. The associated cytostasis has been shown to be reversible and cells escaping senescence further enhance the aggressiveness of cancers. ... -
AI-based glioma grading for a trustworthy diagnosis: an analytical pipeline for improved reliability
(2023-06-27)
Article
Accés obertGlioma is the most common type of tumor in humans originating in the brain. According to the World Health Organization, gliomas can be graded on a four-stage scale, ranging from the most benign to the most malignant. The ... -
A Docker-based federated learning framework design and deployment for multi-modal data stream classification
(2023-05-11)
Article
Accés restringit per política de l'editorialIn the high-performance computing (HPC) domain, federated learning has gained immense popularity. Especially in emotional and physical health analytics and experimental facilities. Federated learning is one of the most ... -
Analysis of gas turbine compressor performance after a major maintenance operation using an autoencoder architecture
(Multidisciplinary Digital Publishing Institute (MDPI), 2023-01-21)
Article
Accés obertMachine learning algorithms and the increasing availability of data have radically changed the way how decisions are made in today’s Industry. A wide range of algorithms are being used to monitor industrial processes and ... -
Intelligent weed management based on object detection neural networks in tomato crops
(Multidisciplinary Digital Publishing Institute (MDPI), 2022-11-24)
Article
Accés obertAs the tomato (Solanum lycopersicum L.) is one of the most important crops worldwide, and the conventional approach for weed control compromises its potential productivity. Thus, the automatic detection of the most aggressive ...
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