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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 ...
Creating a Robust SoC Estimation Algorithm Based on LSTM Units and Trained with Synthetic Data
(MDPI, 2023)
Creating SoC algorithms for Li-ion batteries based on neural networks requires a large amount of training data, since it is necessary to test the batteries under different conditions so that the algorithm learns the ...
Deobfuscating leetspeak with deep learning to improve spam filtering
(UNIR - Universidad Internacional de La Rioja, 2023)
The evolution of anti-spam filters has forced spammers to make greater efforts to bypass filters in order to distribute content over networks. The distribution of content encoded in images or the use of Leetspeak are ...
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 ...
Predicting Hospital Ward Admission from the Emergency Department: A Systematic Review
(MDPI, 2023)
Background: The emergency department (ED) is often overburdened, due to the high influx of patients and limited availability of attending physicians. This situation highlights the need for improvement in the management of, ...
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 ...
Development of a new set of Heuristics for the evaluation of Human-Robot Interaction in industrial settings: Heuristics Robots Experience (HEUROBOX)
(Frontiers, 2023)
Humans and robots will increasingly have to work together in the new industrial context. Therefore, it is necessary to improve the User Experience, Technology Acceptance, and overall wellbeing to achieve a smoother and ...
Dielectric Flow and Tab-Based Battery Thermal Management System For EV High Performance Application
(Elsevier, 2023)
From the perspectives of security, durability, and proper operation, effective temperature control via thermal management systems (TMSs) on lithium-ion batteries is crucial for electric vehicle use. In this regard, a novel ...
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 ...
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 ...
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 ...
Classification of Industrial Sectors Based on Their Profiles of Greenhouse Gas Emissions and Policy Implications
(OmniaScience, 2023)
Purpose: This article reports on a study of greenhouse gases emitted by industrial manufacturing sectors and gives insights into the appropriate orientation of emission reduction public programmes for better efficiency.
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Derrigorrezko Bigarren Hezkuntza etapako irakasleen pertzepzioa STEM hezkuntza-ereduarekiko
(Udako Euskal Unibertsitatea (UEU), 2023)
Gero eta garapen zientifiko eta teknologiko konplexuagora moldatu beharko den gizartean, egungo ikasleek pentsamendu kritikoa garatu beharko dute eta, arazo-egoera ezberdinen aurrean, irtenbide aproposenak bilatu. Horretarako, ...
Irakaslearen konpetentzia digitalaren azterketa: autopertzepziotik ebaluaziora
(Udako Euskal Unibertsitatea (UEU), 2023)
Ikerketa honen helburua, Mondragon Unibertsitateko Derrigorrezko Bigarren Hezkuntzan, Batxilergoan, Lanbide Heziketan eta hizkuntzen irakaskuntzan irakasle gisa aritzeko gaitzen duen unibertsitate masterreko ikasleen ...
Number-phase uncertainty relations and bipartite entanglement detection in spin ensembles
(Quantum, 2023)
We present a method to detect bipartite entanglement based on number-phase-like uncertainty relations in split spin ensembles. First, we derive an uncertainty relation that plays the role of a number-phase uncertainty for ...
(Re)Conceptualizando la Renovación Pedagógica en España. Una Revisión Sistemática: Uma revisão sistemática
(Universidad Autónoma de Madrid, 2023)
Fruto de los cambios y movimientos políticos y sociales de los últimos años, y para dar respuesta a los retos de la sociedad actual, los centros escolares se han encontrado con la necesidad de renovar sus prácticas educativas ...
La Renovación Pedagógica Hoy: Transformación y Defensa de lo Público y el Bien Común
(Universidad Autónoma de Madrid, 2023)
El trabajo de investigación que aquí se presenta es un intento por caracterizar el complejo concepto de la renovación pedagógica en el periodo actual. Tratando simultáneamente de delimitar este ...
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 ...