Articles publicats Departament d'Arquitectura i Tecnologia de Computadors: Recent submissions
Now showing items 81-100 of 409
Hybrid coordination of reinforcement learning-based behaviors for AUV control
This paper proposes a hybrid coordination method for behavior-based control architectures. The hybrid method takes advantages of the robustness and modularity in competitive approaches as well as optimized trajectories in ...
Autonomous underwater navigation and optical mapping in unknown natural environments
We present an approach for navigating in unknown environments while, simultaneously, gathering information for inspecting underwater structures using an autonomous underwater vehicle (AUV). To accomplish this, we first use ...
Pose-based SLAM with probabilistic scan matching algorithm using a mechanical scanned imaging sonar
This paper proposes a pose-based algorithm to solve the full SLAM problem for an autonomous underwater vehicle (AUV), navigating in an unknown and possibly unstructured environment. The technique incorporate probabilistic ...
Scan matching SLAM in underwater environments
This paper proposes a pose-based algorithm to solve the full simultaneous localization and mapping problem for autonomous underwater vehicle (AUV) navigating in unknown and possibly unstructured environments. The proposed ...
Algorithm for Automatic Forced Spirometry Quality Assessment: Technological Developments
We hypothesized that the implementation of automatic real-time assessment of quality of forced spirometry (FS) may significantly enhance the potential for extensive deployment of a FS program in the community. Recent studies ...
A Case-based reasoning approach to validate grammatical gender and number agreement in Spanish language
Across Latin America 420 indigenous languages are spoken. Spanish is considered a second language in indigenous communities and is progressively introduced in education. However, most of the tools to support teaching ...
Modeling and Classifying Breast Tissue Density in Mammograms
We present a new approach to model and classify breast parenchymal tissue. Given a mammogram, first, we will discover the distribution of the different tissue densities in an unsupervised manner, and second, we will use ...
Policy gradient based Reinforcement Learning for real autonomous underwater cable tracking
This paper proposes a field application of a high-level reinforcement learning (RL) control system for solving the action selection problem of an autonomous robot in cable tracking task. The learning system is characterized ...
Aplicación de una FPGA: Módulo de Grabación/reproducción de mensajes
El desarrollo de una aplicación específica por parte de una empresa pionera en el diseño, fabricación y comercialización de equipos de audio, hizo patente la necesidad de utilización de tecnologies de lògica programable ...
A technological infrastructure to create, publish and recommend accessible open educational resources
Open Educational Resources (OERs) should provide equal access for all people, independent of their particular needs or preferences. If an OER that does not comply with web accessibility guidelines, it will hardly address ...
A supervised framework with intensity subtraction and deformation field features for the detection of new T2-w lesions in multiple sclerosis
Longitudinal magnetic resonance imaging (MRI) analysis has an important role in multiple sclerosis diagnosis and follow-up. The presence of new T2-w lesions on brain MRI scans is considered a prognostic and predictive ...
Automated detection of breast cancer in false-negative screening MRI studies from women at increased risk
Purpose To evaluate the performance of an automated computer-aided detection (CAD) system to detect breast cancers that were overlooked or misinterpreted in a breast MRI screening program for women at increased risk. Methods ...
An End-to-End Deep Learning Framework for Predicting Hematoma Expansion in Hemorrhagic Stroke Patients from CT Images
Hematoma expansion (HE) occurs in 20% of patients with hemorrhagic stroke within 24 h of onset, and it is associated with a poorer patient outcome. From a clinical point of view, predicting HE from the initial patient ...
Cluster-based localisation method for dense WSN: A distributed balance between accuracy and complexity fixed by cluster size
Localisation is a fundamental requirement for a monitoring and tracking system based on wireless sensor networks (WSN). In order to build an accurate set of measurements, sensor nodes must have information regarding their ...
Realidad aumentada, videojuegos y cambio climático
In this paper, Augmented Reality (AR) and Videogames are presented as two technologies suitable to be applied (independently and mixed) to Climate Change issues. The article is centered on teaching-learning, sensitization ...
A system to evaluate the accuracy of a visual mosaicking methodology
When underwater vehicles navigate close to the ocean floor, computer vision techniques can be applied to obtain motion estimates. A complete system to create visual mosaics of the seabed is described in this paper. ...
MSISpIC: A Probabilistic Scan Matching Algorithm Using a Mechanical Scanned Imaging Sonar
This paper compares two well known scan matching algorithms: the MbICP and the pIC. As a result of the study, it is proposed the MSISpIC, a probabilistic scan matching algorithm for the localization of an Autonomous ...
One-shot domain adaptation in multiple sclerosis lesion segmentation using convolutional neural networks
In recent years, several convolutional neural network (CNN) methods have been proposed for the automated white matter lesion segmentation of multiple sclerosis (MS) patient images, due to their superior performance compared ...
Semi-automatic tool for motion annotation on complex video sequences
Ground truth annotation on motion segmentation (MS) datasets of arbitrary real-life videos is a difficult and challenging task. The research community lacks a standard annotation tool for such datasets, which makes it an ...
Recovering Euclidean deformable models from stereo-motion
In this paper we present a novel structure from motion (SfM) approach able to infer 3D deformable models from uncalibrated stereo images. Using a stereo setup dramatically improves the 3D model estimation when the observed ...
