Articles publicats Departament d'Arquitectura i Tecnologia de Computadors: Enviaments recents
Ara mostrant els elements 1-20 de 409
Topology-aware multiclass segmentation of the Circle of Willis from MRA and CTA images
The Circle of Willis (CoW) is an essential network of arteries that ensures blood flow throughout the brain. From a clinical perspective, evaluating the vessels of the CoW is highly relevant as its angioarchitecture and ...
Addressing the generalization of 3D registration methods with a featureless baseline and an unbiased benchmark
Recent 3D registration methods are mostly learning-based that either find correspondences in feature space and match them, or directly estimate the registration transformation from the given point cloud features. Therefore, ...
Motiv-ARCHE: an augmented reality application to co-create cultural heritage resources with teenagers
Traditionally, the primary objective of a museum was to gather, study and preserve collections, and to put them on (do-not-touch) display for the public. Museums nowadays, however, are more concerned about how to make their ...
Motiv-ARCHE: co-creation of augmented reality educational content to motivate cultural and natural heritage learning
In the past, sites such as museums or archaeological sites focused primarily on the preservation, maintenance, and conservation of heritage elements for present and future generations. However, they now face a new challenge, ...
Resilient backup controller placement in distributed SDN under critical targeted attacks
Today, telecommunication networks are crucial infrastructures, as has, for example, been demonstrated by the COVID-19 crisis. Thus, protecting such infrastructures, including software-defined based networks (SDN), is of ...
Optimal design of water reuse networks in cities through decision support tool development and testing
Water scarcity and droughts are an increasing issue in many parts of the world. In the context of urban water systems, the transition to circularity may imply wastewater treatment and reuse. Planning and assessment of water ...
Global and Regional Deep Learning Models for Multiple Sclerosis Stratification From MRI
Background: The combination of anatomical MRI and deep learning-based methods such as convolutional neural networks (CNNs) is a promising strategy to build predictive models of multiple sclerosis (MS) prognosis. However, ...
Large-scale web tracking and cookie compliance: Evaluating one million websites under GDPR with AI categorization
With the increasing prevalence of web-tracking technologies, including tracking cookies, pixel tracking, and browser fingerprinting techniques, there is a pressing need to analyze their impact on user privacy. Despite the ...
Evaluation of Motiv-ARCHE in the Santa Clara Museum
Currently, heritage sites, such as museums, have focused on the preservation and conservation of heritage elements for present and future generations. However, when displaying their content, they often do not consider ...
Network congestion control algorithm for image transmission hri and visual light communications of an autonomous underwater vehicle for intervention
In this study, the challenge of teleoperating robots in harsh environments such as underwater or in tunnels is addressed. In these environments, wireless communication networks are prone to congestion, leading to potential ...
On Lie group IMU and linear velocity preintegration for autonomous navigation considering the Earth rotation compensation
Robot localization is a fundamental task in achieving true autonomy. Recently, many graph-based navigators have been proposed that combine an inertial measurement unit (IMU) with an exteroceptive sensor applying IMU ...
Predicting network performance using GNNs: generalization to larger unseen networks
Autonomous Fifth Generation (5G) and Beyond 5G (B5G) networks require modelling tools to predict the impact on the performance when new configurations and features are applied in the network. Modeling modern networks through ...
GNNetSlice: A GNN-based performance model to support network slicing in B5G networks
Network slicing is gaining traction in Fifth Generation (5G) deployments and Beyond 5G (B5G) designs. In a nutshell, network slicing virtualizes a single physical network into multiple virtual networks or slices, so that ...
Low time complexity algorithms for path computation in Cayley Graphs
We study the problem of path computation in Cayley Graphs (CG) from an approach of word processing in groups. This approach consists in encoding the topological structure of CG in an automaton called Diff, then techniques ...
Going Smaller: Attention-based models for automated melanoma diagnosis
Computational approaches offer a valuable tool to aid with the early diagnosis of melanoma by increasing both the speed and accuracy of doctors’ decisions. The latest and best-performing approaches often rely on large ...
Autonomous Underwater Vehicle Docking Under Realistic Assumptions Using Deep Reinforcement Learning
This paper addresses the challenge of docking an Autonomous Underwater Vehicle (AUV) under realistic conditions. Traditional model-based controllers are often constrained by the complexity and variability of the ocean ...
Improving brain atrophy quantification with deep learning from automated labels using tissue similarity priors
Brain atrophy measurements derived from magnetic resonance imaging (MRI) are a promising marker for the diagnosis and prognosis of neurodegenerative pathologies such as Alzheimer’s disease or multiple sclerosis. However, ...
RETRACTED: Nobel et al. Modern Subtype Classification and Outlier Detection Using the Attention Embedder to Transform Ovarian Cancer Diagnosis. Tomography 2024, 10, 105-132
This retracts the article "RETRACTED: Modern Subtype Classification and Outlier Detection Using the Attention Embedder to Transform Ovarian Cancer Diagnosis" on page 105
SegX-Net: A novel image segmentation approach for contrail detection using deep learning
Contrails are line-shaped clouds formed in the exhaust of aircraft engines that significantly contribute to global warming. This paper confidently proposes integrating advanced image segmentation techniques to identify and ...
Sparus Docking Station: A current aware docking station system for a non-holonomic AUV
This paper presents the design and development of a funnel-shaped Sparus Docking Station intended for the non-holonomic torpedo-shaped Sparus II Autonomous Underwater Vehicle. The Sparus Docking Station is equipped with ...
