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A benchmarking study on single image dehazing techniques for underwater autonomous vehicles
(IEEE, 2017-06)
Enhancing the underwater images is of utmost importance for autonomous underwater vehicles. This kind of robots usually have to deal with highly degraded images from which it is extremely difficult to accurately find, ...
Autonomous underwater grasping using multi-view laser reconstruction
(IEEE, 2017-06)
Autonomous manipulation in underwater scenarios is a highly complex task which is still poorly studied, but with a growing interest in the last years. Two of the main phases of this problem are the detection and characterization ...
Effects of behavioral risk factors and social-environmental factors on non-communicable diseases in South Korea: a national survey approach
(MDPI, 2021-01-12)
Non-communicable diseases (NCDs) are one of the major health threats in the world.
Thus, identifying the factors that influence NCDs is crucial to monitor and manage diseases. This
study investigates the effects of ...
Argobots: A Lightweight Low-Level Threading and Tasking Framework
(IEEE, 2017-10)
In the past few decades, a number of user-level threading and tasking models have been proposed in the literature to address the shortcomings of OS-level threads, primarily with respect to cost and flexibility. Current ...
Can AI be a content generator? Effects of content generators and information delivery methods on the psychology of content consumers
(Elsevier, 2020)
Considering the rapidly improving technologies in artificial intelligence (AI), researchers in masscommunication and journalism have paid attention to the use of AI technologies. However, thereare still notable concerns ...
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 ...
A framework for genomic sequencing on clusters of multicore and manycore processors
(Sage, 2016-06)
The advances in genomic sequencing during the past few years have motivated the development of fast and reliable software for DNA/RNA sequencing on current high performance architectures. Most of these efforts target ...
BestOf: an online implementation selector for the training and inference of deep neural networks
(Springer, 2022-05-20)
Tuning and optimising the operations executed in deep learning frameworks is a fundamental task in accelerating the processing of deep neural networks (DNNs). However, this optimisation usually requires extensive manual ...
Recovering Depth from Still Images for Underwater Dehazing Using Deep Learning
(MDPI, 2020)
Estimating depth from a single image is a challenging problem, but it is also interestingdue to the large amount of applications, such as underwater image dehazing. In this paper, a newperspective is provided; by taking ...
Vision for Robust Robot Manipulation
(MDPI, 2019)
Advances in Robotics are leading to a new generation of assistant robots working in
ordinary, domestic settings. This evolution raises new challenges in the tasks to be accomplished by
the robots. This is the case for ...