Jorge Marx Gómez
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View article: Geolocated Lightning Network topology snapshots: A dataset covering 2019–2023
Geolocated Lightning Network topology snapshots: A dataset covering 2019–2023 Open
The Lightning Network (LN) is the most widely adopted second-layer solution for Bitcoin, enabling fast, low-cost transactions through a decentralized payment channel network. Despite its growing importance and the increasing interest from …
View article: Recent Advances in Global Payment Channel Networks: A Systematic Literature Review
Recent Advances in Global Payment Channel Networks: A Systematic Literature Review Open
Payment Channel Networks (PCNs) are foundational to scaling blockchain-based transactions by enabling fast, low-cost, and off-chain micropayments. This systematic literature review presents a comprehensive analysis of the PCN research land…
View article: Outperforming Dijkstra on Sparse Graphs: The Lightning Network Use Case
Outperforming Dijkstra on Sparse Graphs: The Lightning Network Use Case Open
Efficient routing is critical for payment channel networks (PCNs) such as the Lightning Network (LN), where most clients currently rely on Dijkstra-based algorithms for payment pathfinding. While Dijkstra's algorithm has long been regarded…
View article: Intelligent vital sign alerts based on context awareness
Intelligent vital sign alerts based on context awareness Open
Within the framework of this research, a system that integrates IoT (Internet of Things) technology and a contextual awareness model has been developed. The purpose of the system is to collect vital signs thanks to healthypi and generate i…
View article: AI-Driven Transformation of Cybersecurity Insurance
AI-Driven Transformation of Cybersecurity Insurance Open
This chapter explores how artificial intelligence can change cybersecurity insurance by dealing with the main issues in risk assessment, pricing, and claims processing. It presents the Cyber Risk Intelligence Platform, an AI-driven system …
View article: AI for All: Bridging Accessibility and Usability Through User-Centered AI Design
AI for All: Bridging Accessibility and Usability Through User-Centered AI Design Open
Artificial Intelligence (AI) technologies are promised to improve digital services and automate tasks. However, there are still significant barriers to ensuring that AI technologies are accessible and usable by a broad range of users. As A…
View article: Usability Heuristics for Metaverse
Usability Heuristics for Metaverse Open
The inclusion of usability heuristics into the metaverse is aimed at solving the unique issues raised by virtual reality (VR), augmented reality (AR), and mixed reality (MR) environments. This research points out the usability challenges o…
View article: Estimating Power, Performance, and Area for On-Sensor Deployment of AR/VR Workloads Using an Analytical Framework
Estimating Power, Performance, and Area for On-Sensor Deployment of AR/VR Workloads Using an Analytical Framework Open
Augmented Reality and Virtual Reality have emerged as the next frontier of intelligent image sensors and computer systems. In these systems, 3D die stacking stands out as a compelling solution, enabling in situ processing capability of the…
View article: Extraction of Geolocations from Site Maps in the Context of Traffic Counting
Extraction of Geolocations from Site Maps in the Context of Traffic Counting Open
The further promotion of cycling is a key component for each city to reach its sustainability goals. To make decisions to improve comfort or safety for cyclists, the amount of motorized traffic should be taken into account. Therefore, traf…
View article: A Cnn Model for Improved Image Denoising With an Attention Guided Feature Selection
A Cnn Model for Improved Image Denoising With an Attention Guided Feature Selection Open
Deep Convolutional Neural Networks, or DCNNs, have undergone numerous modifications to enhance their capabilities in image processing, including image restoration, but there is still room for improvement. They have been improved in a numbe…
View article: Multimodal Transformer for Risk Classification: Analyzing the Impact of Different Data Modalities
Multimodal Transformer for Risk Classification: Analyzing the Impact of Different Data Modalities Open
Risk classification plays a critical role in domains such as finance, insurance, and healthcare. However, identifying risks can be a challenging task when dealing with different types of data. In this paper, we present a novel approach usi…
View article: Visualization of Attention Distraction Points obtained by Modelling and Analysis of an Intelligent Bicycle Assistant System
Visualization of Attention Distraction Points obtained by Modelling and Analysis of an Intelligent Bicycle Assistant System Open
Multimodal data based attention analysis, evaluation and visualization is currently predominant in various domains. The SmartHelm Project aims to present results from new kinds of data such as distraction from cargo bike riders in regular …
View article: Online Collective Demand Forecasting for Bike Sharing Services
Online Collective Demand Forecasting for Bike Sharing Services Open
We introduce a general time-series forecasting method that extends classical seasonal autoregressive models to incorporate exogenous and relational information in an online setting. Our approach is implemented using the probabilistic progr…
View article: 2047. Meningococcal burden of disease in Argentina: 10 years epidemiologic review
2047. Meningococcal burden of disease in Argentina: 10 years epidemiologic review Open
Background Reduction of Invasive meningococcal disease (IMD) burden is one of the public health main priorities in Argentina. Since 2017, MenACWY vaccination was implemented for infants (3-5 and 15 months) and adolescents (11 years). Howev…
View article: NextComp 2022 Cover Page
NextComp 2022 Cover Page Open
Rapid Prototyping of the SmartAR Augmented Reality Control Platform for multiple use
View article: Beyond Numerical – MIXATON for outlier explanation on mixed-type data (ADPBD)
Beyond Numerical – MIXATON for outlier explanation on mixed-type data (ADPBD) Open
Outlier explanation approaches are employed to support analysts in investigating outliers, especially those detected by methods which are not intuitively interpretable such as deep learning or ensemble approaches.There have been several st…
View article: Distributed On-Sensor Compute System for AR/VR Devices: A Semi-Analytical Simulation Framework for Power Estimation
Distributed On-Sensor Compute System for AR/VR Devices: A Semi-Analytical Simulation Framework for Power Estimation Open
Augmented Reality/Virtual Reality (AR/VR) glasses are widely foreseen as the next generation computing platform. AR/VR glasses are a complex "system of systems" which must satisfy stringent form factor, computing-, power- and thermal- requ…
View article: The BITS Project – Making cycling data available and comparable on a European scale
The BITS Project – Making cycling data available and comparable on a European scale Open
Intelligent Transport Systems (ITS) could be the basis for new data driven approaches and mobility applications, as many examples from motorized means of traffic have shown. However, ITS can also contribute to an improvement of the bicycle…
View article: Introducing a new Workflow for Pig Posture Classification based on a combination of YOLO and EfficientNet
Introducing a new Workflow for Pig Posture Classification based on a combination of YOLO and EfficientNet Open
This paper introduces a pipeline for image-based pig posture classification by applying YOLOv5 for pig detection and EfficientNet for subsequent pig posture classification into 'lying' and 'notLying'. A high-quality dataset consisting of 5…