Artículos: Recent submissions
Now showing items 161-180 of 15840
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Human Cervical Intervertebral Disc Pressure Response During Non-Injurious Quasistatic Motion: A Feasibility Study
(2025-06-01)The human neck is highly vulnerable in motor vehicle crashes, and cervical spine response data are essential to improve injury prediction tools (e.g., crash test dummies, human body models). This feasibility study aimed ... -
Flaw classification in bonded joints using multivariate statistical analysis and artificial intelligence
(2025-06-01)Adhesives play an important role in multiple industries, offering versatile bonding solutions for diverse applications. However, their incorporation in structures where safety is critical has been met with hesitation due ... -
Optimal planning and operation of energy community DERs considering local energy trading and uncertainties
(2025-06-01)Local energy trading between customers in energy communities (ECs) received significant interest from academia and industry as a promising approach for managing a large number of distributed energy resources (DERs) and ... -
Analyzing the impact of heating electrification and prosumaging on the future distribution grid costs
(2025-06-01)The electrification of households’ heating systems will lead to an increase in the electricity demand, which will necessitate additional investments in the grid infrastructure. The interaction with other technologies, ... -
Ensemble-Based Biometric Verification: Defending Against Multi-Strategy Deepfake Image Generation
(2025-06-01)Deepfake images, synthetic images created using digital software, continue to present a serious threat to online platforms. This is especially relevant for biometric verification systems, as deepfakes that attempt to bypass ... -
Short and longer-term effects of European regional policy
(2025-06-01)We quantify the system-wide impact of the European Structural Funds 2014–20 using a large-scale spatial general equilibrium model, calibrated for 89 regions in the EU and the UK. We find that policies that stimulate private ... -
Clonable key fobs: Analyzing and breaking RKE protocols
(2025-06-01)The automotive industry has been a target for cyber criminals for decades. New regulations have come into force in the automotive industry and manufacturers must take cybersecurity into account. One of the most interesting ... -
Robustness: The Missing Ingredient in Generation Scheduling
(2025-06-01)This article highlights robustness as an essential factor to cope with the ever-increasing levels of uncertainty in generation scheduling under significant renewable energy penetration, as is the case in Brazil and Spain. ... -
Exploring the Role of Artificial Intelligence in Precision Photonics: A Case Study on Deep Neural Network-Based fs Laser Pulsed Parameter Estimation for MoOx Formation
(2025-06-01)Ultrafast pulsed laser technology presents unique challenges and opportunities in material processing and characterization for precision photonics. Herein, an experiment is conducted involving the use of an ultrafast pulsed ... -
The resilient power of CSR: Sustained risk reduction despite widespread ESG adoption
(2025-06-01)This paper explores the role of CSR in risk mitigation within an increasingly ESG-focused environment. Using monthly data from 2016 to 2023, we employ several risk measures representing systematic, idiosyncratic and downside ... -
Flexible robust optimization for Renewable-only VPP bidding on electricity markets with economic risk analysis
(2025-06-01)This paper investigates the joint participation of Renewable-only Virtual Power Plants (RVPPs) in the energy and reserve markets while considering the imbalance costs in the balancing market. Existing research on robust ... -
Efficient hydropower modeling for medium-term hydrothermal planning using data-driven approaches
(2025-06-01)The continuous rise of renewable energy in the global energy mix highlights the need to analyze and enhance traditional energy plants’ flexibility to support integration. Hydropower, with its rapid response capabilities ... -
Bridging the Energy Poverty Gap: Evaluating the Impact of Shallow Renovations and Micro-Efficiency in Spain
(2025-06-02)Low-income households face severe energy affordability issues due to poor housing quality. To fight this problem, Spanish public administrations and NGOs have collaborated with the Naturgy Foundation’s Energy Rehabilitation ... -
Artificial Intelligence Adoption in SMEs: Survey Based on TOE–DOI Framework, Primary Methodology and Challenges
(2025-06-02)Despite the transformative potential of artificial intelligence (AI), small and medium-sized enterprises (SMEs) continue to face significant challenges in its effective adoption. While prior studies have emphasized strategic ... -
Energy Poverty and Vulnerability Trends in Southern and Western Europe during Crisis Years
(2025-06-02)The recent COVID-19 and energy crises have intensified energy poverty (EP) in Europe, driven by skyrocketing energy prices and worsening financial pressures. This paper measures the different EP dimensions in three different ... -
Synchronous Compensators Considering Reactive Power for PLL Stability Improvement and Short-Circuit Ratio Evaluation
(2025-06-09)This paper examines the impact of Synchronous Compensators (SC) on the stability of grid-following Inverter-Based Resources (IBRs), with a particular focus on the role of reactive power. Full-order simulation models of a ... -
Smart imputation, better recommendations: improving traditional Point-of-Interest recommendation through data augmentation
(2025-06-10)Data sparsity is a persistent challenge in recommender systems, specially in specific domains like Point-of-Interest (POI) recommendation, where it significantly impacts model performance. While classical recommender systems ... -
Debunking the speed-fidelity trade-off: Speeding-up large-scale energy models while keeping fidelity
(2025-07-01)Energy system models are essential for planning and supporting the energy transition. However, increasing temporal, spatial, and sectoral resolutions have led to large-scale linear programming (LP) models that are often ... -
Boosting Deep Reinforcement Learning with Semantic Knowledge for Robotic Manipulators
(2025-07-01)Deep Reinforcement Learning (DRL) is a powerful framework for solving complex sequential decision-making problems, particularly in robotic control. However, its practical deployment is often hindered by the substantial ...