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Gotham Testbed: A Reproducible IoT Testbed for Security Experiments and Dataset Generation
(IEEE, 2023)
The growing adoption of the Internet of Things (IoT) has brought a significant increase in attacks targeting those devices. Machine learning (ML) methods have shown promising results for intrusion detection; however, the ...
Big Data Life Cycle in Shop-floor. Trends and Challenges
(IEEE, 2023)
Big data is defined as a large set of data that could be structured or unstructured. In manufacturing shop-floor, big data incorporates data collected at every stage of the production process. This includes data from ...
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. ...
Advanced direct extrusion process with real-time controllable extrusion parameters for microstructure optimization of magnesium alloys
(Springer, 2023)
The extrusion speed and deformation temperature are important factors affecting the microstructure development during the deformation. Microstructure development plays a crucial role in the performance of the mechanical ...
Low-Cost Maximum Power Point Tracking Strategy and Protection Circuit Applied to an Ayanz Wind Turbine with Screw Blades
(MDPI, 2023)
This paper provides three different research contributions applied to a Wind Turbine patented in 1606 by the inventor Jerónimo de Ayanz y Beaumont. The windmill under study is the Ayanz Wind Turbine with screw blades. The ...
Retinal Optical Coherence Tomography Features Associated With Incident and Prevalent Parkinson Disease
(American Journal of Analogy, 2023)
Background and Objectives
Cadaveric studies have shown disease-related neurodegeneration and other morphological abnormalities in the retina of individuals with Parkinson disease (PD); however, it remains unclear whether ...
State of charge estimation combining physics-based and artificial intelligence models for Lithium-ion batteries
(Elsevier, 2023)
This paper presents a sequential model based on Physic Based Models (PBM) and Artificial Intelligence Models (AI) focused on the estimation of the State of Charge (SoC). The PBM can provide interesting information about ...
The combined effect of contact interface size and spin on lubricated traction in rolling-sliding point contacts
(Elsevier, 2023)
Traction in lubricated rolling and sliding contacts plays an important role in the performance of several machine elements. Many of such elements are subject to spin motion, which can affect their performance. Recent studies ...
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 ...
Performance Improvement of a Silicon Partial Power Converter over a Silicon Carbide Full Power Converter
(IEEE, 2023)
This article studies the new benefits that partial power processing brings to Silicon (Si) devices compared to wide-bandgap technologies. To prove this, the proposed case study consists of an on-board charger (OBC) application ...