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Exploring the effectiveness of using internal CNC system signals for chatter detection in milling process
(Elsevier, 2023)
Chatter is a harmful self-excited vibration that commonly occurs during milling processes. Data-driven chatter detection and prediction is critical to achieve high surface quality and process efficiency. Most existing ...
Real-Time, Model-Agnostic and User-Driven Counterfactual Explanations Using Autoencoders
(MDPI, 2023)
Explainable Artificial Intelligence (XAI) has gained significant attention in recent years due to concerns over the lack of interpretability of Deep Learning models, which hinders their decision-making processes. To address ...
Long term EIT based compliance monitoring in COVID-19 patients
(De Gruyter, 2021)
The COVID-19 is a viral infection that causes respiratory complications. Infected lungs often present ground glass opacities, thus suggesting that medical imaging technologies could provide useful information for the disease ...
El comportamiento financiero de las cooperativas de trabajo asociado de MONDRAGON
(Mondragon Unibertsitatea. Enpresagintza Fakultatea, 2022)
Esta tesis estudia el comportamiento financiero de las sociedades cooperativas de trabajo
asociado (CTA) a través de una investigación con metodología mixta, cualitativa y
cuantitativa. Tradicionalmente la literatura ha ...
Synthetic Tabular Data Evaluation in the Health Domain Covering Resemblance, Utility, and Privacy Dimensions
(Thieme, 2023)
Background. Synthetic tabular data generation is a potentially valuable technology with great promise for data augmentation and privacy preservation. However, prior to adoption, an empirical assessment of generated synthetic ...
Tool remaining useful life prediction using bidirectional recurrent neural networks (BRNN)
(Springer, 2023)
Nowadays, new challenges around increasing production quality and productivity, and decreasing energy consumption, are growing in the manufacturing industry. In order to tackle these challenges, it is of vital importance ...
Effect of voids on the impact properties of Non-Crimp fabric carbon/epoxy laminates manufactured by liquid composite Moulding
(Elsevier, 2022)
A great effort has been made to quantify the detrimental effect of voids on CFRP, nevertheless, the effect on impact properties has been barely studied and when it has been considered, it has always been for prepeg materials ...
Effect of the crucible composition on the Inconel 718 vacuum induction melting process efficiency
(Elsevier, 2023)
Nickel-based superalloys are widely employed to manufacture aero-engine turbines due to their high mechanical strength and resistance to corrosion and creep. Vacuum Induction Melting (VIM) is a suitable manufacturing ...
Modelling the Non-linear fibre and matrix dominated compressive behaviour in unidirectional Fibre-reinforced composites
(Elsevier, 2023)
The mechanical behaviour of unidirectional fibre-reinforced composites is typically assumed to be linear elastic before failure. However, these materials exhibit nonlinear responses while being loaded in the matrix and ...
Shielded Reinforcement Learning: A review of reactive methods for safe learning
(IEEE, 2023)
Reinforcement Learning (RL) algorithms are showing promising results in simulated environments, but their replication in real physical applications, even more so in safety-critical applications, is not yet guaranteed. ...