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Increasing underwater manipulation autonomy using segmentation and visual tracking
(IEEE, 2017-06)
The present research in underwater robotics aims to increase the autonomy of manipulation operations in fields such as archaeology or biology, that cannot afford costly underwater interventions using traditional Remote ...
Aprendizaje de redes de computadores mediante el uso de proyectos en una titulación de videojuegos
(Servicio de Publicaciones Universidad de Zaragoza, 2017-10)
En este trabajo se presenta una experiencia docente que
utiliza metodología de aprendizaje basada en proyectos desarrollada
en la asignatura “Redes y Sistemas Multijugador” de tercer curso del
Grado de Diseño y Desarrollo ...
Efficient and portable GEMM-based convolution operators for deep neural network training on multicore processors
(ElsevierAcademic Press, 2022-05-30)
Convolutional Neural Networks (CNNs) play a crucial role in many image recognition and classification tasks, recommender systems, brain-computer interfaces, etc. As a consequence, there is a notable interest in developing ...
Predicting the internal model of a robotic system from its morphology
(Elsevier, 2018)
The estimation of the internal model of a robotic system results from the interaction of its morphology, sensors and
actuators, with a particular environment. Model learning techniques, based on supervised machine learning, ...
Design and Implementation of Acoustic Source Localization on a Low-Cost IoT Edge Platform
(Institute of Electrical and Electronics Engineers, 2020-04-08)
The implementation of algorithms for acoustic
source localization on edge platforms for the Internet of Things
(IoT) is gaining momentum. Applications based on acoustic monitoring can greatly benefit from efficient ...
Toward a modular precision ecosystem for high-performance computing
(Sage, 2019-05)
With the memory bandwidth of current computer architectures being significantly slower than the (floating point) arithmetic performance, many scientific computations only leverage a fraction of the computational power in ...
Biosensing and Actuation—Platforms Coupling Body Input-Output Modalities for Affective Technologies
(MDPI, 2020)
Research in the use of ubiquitous technologies, tracking systems and wearables within
mental health domains is on the rise. In recent years, affective technologies have gained
traction and garnered the interest of ...
Creating, Interpreting and Rating Harmonic Colour Palettes Using a Cognitively Inspired Model
(Springer, 2018)
his paper presents a cognitively inspired qualitative theory, QCharm, which defines five operators for colour combination based on the qualitative colour descriptor (QCD) and applies these operators to recommend palettes ...
Using machine learning to model the training scalability of convolutional neural networks on clusters of GPUs
(Springer, 2021-08-30)
In this work, we build a general piece-wise model to analyze data-parallel (DP) training costs of convolutional neural networks (CNNs) on clusters of GPUs. This general model is based on i) multi-layer perceptrons (MLPs) ...
A distributed architecture for enabling autonomous underwater intervention missions
(IEEE, 2010)
This work introduces the main aspects related with a
new architecture defined for an ongoing research project named
RAUVI (i.e. Reconfigurable AUV for Intervention Missions). Two
initially independent architectures for ...