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Now showing items 681-700 of 1086
Integrated machine learning and probabilistic degradation approach for vessel electric motor prognostics
(Elsevier, 2023)
In the transition towards more sustainable ships, electric motors (EM) are being used in ship propulsion systems to reduce emissions and increase efficiency. The safe operation of ships is crucial, and prognostics and ...
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 ...
A Generic Interface for x-in-the-Loop Simulations Based on Distributed Co-Simulation Protocol
(IEEE, 2023)
Co-simulation is a key step in the development of today’s complex cyber-physical systems (CPS), specially in the integration and validation activities. However, performing a co-simulation involving models developed in ...
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. ...
Analysis of thermophoresis for separation of polystyrene microparticles in microfluidic devices
(Elsevier, 2022)
We analysed the thermodiffusion phenomenon both numerically and experimentally for size-based separation of polystyrene microparticles. For model validation, we followed previously published numerical studies using ANSYS ...
A Scalable and Unified Multi-Control Framework for KUKA LBR iiwa Collaborative Robots
(IEEE, 2023)
The trend towards industrialization and digitalization has led more and more companies to deploy robots in their manufacturing facilities. In the field of collaborative robotics, the KUKA LBR iiwa is one of the benchmark ...
Cost-optimal Integration of Innovative Powertrain Technologies into Rail Vehicles
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2022)
Railway is an essential transportation mode in nowadays society, both for passengers and goods. Considering that the relation between the carried passenger activity and the derived pollutant emissions is lower than in road ...
Cybersecurity Evaluation Methodology based on Metrics for Industrial Embedded Systems
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2022)
During the last decades, Embedded Systems (ESs) have evolved from isolated systems into a fully connected devices. Today, due to the development of processing capabilities, ESs have the ability to control or manage a wide ...
Service design for digital servitization: Facilitating manufacturers' advanced services value proposition design in the context of Industry 4.0
(Elsevier, 2023)
Industry 4.0 provides increasing opportunities for manufacturing companies in servitization, which has led to the emergence of digital servitization. Several single case studies have suggested service design as a means to ...
Business Model Innovation in Established SMEs: A Configurational Approach
(MDPI, 2020)
Small and medium-sized enterprises (SMEs) are at the heart of a nation’s wealth creation, employment generation and economic development. To help SMEs stay competitive in a fast-changing environment, researchers have ...
Association Between Retinal Features From Multimodal Imaging and Schizophrenia
(JAMA Network, 2023)
Importance. The potential association of schizophrenia with distinct retinal changes is of clinical interest but has been challenging to investigate because of a lack of sufficiently large and detailed cohorts.
Objective. ...
A data-driven long-term metocean data forecasting approach for the design of marine renewable energy systems
(Elsevier, 2022)
The potential of Marine Renewable Energy (MRE) systems is usually evaluated based on recent metocean data and assuming the stationarity of the MRE resource. Yet, different studies in the literature have shown long-term ...