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Comparative assessment of synthetic time series generation approaches in healthcare: leveraging patient metadata for accurate data synthesis
(Springer Nature, 2024)
Background
Synthetic data is an emerging approach for addressing legal and regulatory concerns in biomedical research that deals with personal and clinical data, whether as a single tool or through its combination with ...
Unraveling the Technology behind the Frontrunner LIC ULTIMO to Serve as a Guideline for Optimum Lithium-Ion Capacitor Design, Assembly, and Characterization
(Wiley, 2021)
The fast growth experienced by the field of lithium-ion capacitors (LICs) in the last five years led to tremendous progress in this technology. However, the authors have observed some parallelism with its ultracapacitor ...
Machine learning model of acoustic signatures: Towards digitalised thermal spray manufacturing
(Elsevier, 2024)
Thermal spraying, an important industrial surface manufacturing process in sectors such as aerospace, energy and biomedical, remains a skill intensive process often involving multiple trial runs impacting the yield. The ...
Digital Twins: building your own virtual lab for enhanced vocational education training
(Tknika, 2023)
The emergence, in the context of Industry 4.0, of tools for developing Digital Twins of automated industrial systems brings about a paradigm shift in the development of control systems. Their virtual commissioning allows ...
A comprehensive analytical sizing methodology for transverse and radial flux machines
(IEEE, 2023)
Transverse flux machines have the potential to offer high torque density in direct-drive vehicle traction applications. Besides, sizing equations are a wide-spread technique for transverse flux machines design, as their ...
An Experimental Protocol for Human Stress Investigation in Manufacturing Contexts: Its Application in the NO-STRESS Project
(MDPI, 2023)
Stress is a critical concern in manufacturing environments, as it impacts the well-being and performance of workers. Accurate measurement of stress is essential for effective intervention and mitigation strategies. This ...
High Efficiency Converters Based on Modular Partial Power Processing for Fully Electric Maritime Applications
(MDPI, 2023)
This paper proposes an approach for analyzing the benefits that partial-power-processing-based converters can bring to fully electric maritime applications. With the aim of making the system modular and scalable to different ...
An experience in the implementation of the flipped classroom instructional model in the computer science degree
(Wiley, 2023)
In recent years, education has undergone a profound transformation process, having gone from relying only on the traditional lecture to making full use of digital formats. This gradual process, accelerated by the COVID-19 ...
Influence of Al addition on microstructure and electrochemical behaviour of CrMnFeCoNi high-entropy alloy
(Elsevier, 2024)
To develop new corrosion-resistant materials for structural applications, CrMnFeCoNiAlx high-entropy alloys (HEAs) are produced via semi-industrial induction casting. The study aimed to investigate the influence of Al ...
Improving Programming Learning in Engineering Students Through Discovery Learning
(IEEE, 2023)
Programming is basic to all engineering studies and a complicated subject for many first-year students. Many of the problems stem from the difficulty students have in finding the solution they need on the Internet, which ...