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A multivariable modeling approach for the design of Power Electronics Based DC Distribution Systems in diesel-electric vessels
(IEEE, 2016)The benefits of using Power Electronics Based DC Distribution Systems in diesel-electric vessels are well known. However, some aspects must be deeply analyzed to guarantee a safe, robust and stable system by design. A ... -
Enhancing World Models with Specialized Prediction Networks for Reinforcement Learning
(Springer, 2025)Training robots in the real-world using reinforcement learning is both expensive and risky. World Models—a simulated environment that mirrors real-world conditions—have been proved to offer an alternative to real-world ... -
Reality Bites: Assessing the Realism of Driving Scenarios with Large Language Models
(ACM, 2024)Large Language Models (LLMs) are demonstrating outstanding potential for tasks such as text generation, summarization, and classification. Given that such models are trained on a humongous amount of online knowledge, we ... -
Robustness Evaluation of Energy Management Strategies for Hydrogen-Based Railway Vehicles
(IEEE, 2023)This paper presents a robustness analysis of different energy management strategies designed for hydrogen-based rail vehicles. From the analyzed 4 strategies, one is based on dynamic programming, two are rule-based strategies ... -
Performance Analysis of Pilot Patterns for Channel Estimation for OFDM Systems in High-Speed Trains Scenarios
(IEEE, 2019)In the last decade, different wireless technologies have been deployed in the railway infrastructure to support critical and non-critical services. Due to the tangible benefits that they have provided to both rail operators ... -
Image Enhancement using GANs for Monocular Visual Odometry
(IEEE, 2021)Drones, mobile robots, and autonomous vehicles use Visual Odometry (VO) to move around complex environments. ORB-SLAM or deep learning-based approaches like DF-VO are two of the state-of-the-art technics for monocular VO. ... -
Piecewise Modeling Based on Particle Swarm Optimization Algorithm Using Numerical Data
(IEEE, 2024)We propose a piecewise modeling method using numerical data. The shape of the piecewise model is a rectangular form into a state-space. The vertex values of the rectangular regions are determined using particle swarm ... -
Switching losses estimation for a push-pull converter based on analytical models considering parasitic elements
(IEEE, 2023)This paper presents a comparative study of two analytical models for estimating the switching losses of a power MOSFET, considering different levels of parasitics integration. The study focuses on high parasitic inductance ... -
Integrated Magnetic Design for High Power Density Converter
(IEEE, 2024)High power density and high efficiency are the trend of power converters. This paper focuses on two-stage DC/DC converters for datacenter applications and proposes a new magnetic integration method for two coupled inductors ... -
Exploration of Steinmetz Parameter Variability in High Frequency Transformer Design Spaces
(IEEE, 2025)This paper investigates the impact of high frequency effects in the design space of transformers for power converters. A holistic overview of the impact of winding losses has previously been studied in the literature, but ... -
Diegetic Graphical User Interfaces for Robot Control via Eye-gaze
(IEEE, 2025)Eye-gaze stands out as an intuitive interface for hands-free control of robotic devices due to its brief training time, fast calibration, low invasiveness, and reduced complexity and cost. However, current approaches are ... -
Performance Analysis of ITS-G5 for Smart Train Composition Coupling
(IEEE, 2018)In this paper we present first measurement results the use of ITS-G5 technology for Smart Train Composition Coupling. Intelligent Transport System (ITS-G5) communication link has been already use for Train-to-Train (T2T) ... -
Characterization of Time-Variant Wireless Channels in Railway Communication Scenarios
(IEEE, 2019)We present results from a train-to-infrastructure (T2I) and train-to-train (T2T) measurement campaign where we perform single-input-single-output channel sounding with a 150 MHz bandwidth, allowing us to resolve multi-path ... -
Experimental analysis of the substrate influence in tool life in slot milling of stainless steel
(Association of American Publishers, 2025)Stainless steels are widely known as difficult-to-cut materials, especially under hard machining conditions pushing the solid carbide end mill up to its breakage. This study examines the influence of different tool ... -
New Computationally Inexpensive Power Cancellation Concept for Magnetic Core Loss Measurement
(IEEE, 2025)Phase discrepancy is a major source of error in the measurements of core losses, so reactive cancellation techniques are used to improve the measurement accuracy. To do so, an air core transformer is introduced in the ... -
Bayesian Physics Informed Neural Networks for Reliable Transformer Prognostics
(Prognostics and Health Management Society, 2025) -
A Health Monitoring Framework for Thermal Degradation Mitigation in Solar Power Plants
(Prognostics and Health Management Society, 2025)
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