Examinar Artículos, Comunicaciones, Libros por departamento (eus.) "Konputazio zientziak eta adimen artifiziala"
Now showing items 1-20 of 162
-
3D Convolutional Neural Networks Initialized from Pretrained 2D Convolutional Neural Networks for Classification of Industrial Parts
(MDPI, 2021-02-04)Abstract Deep learning methods have been successfully applied to image processing, mainly using 2D vision sensors. Recently, the rise of depth cameras and other similar 3D sensors has opened the field for new perception ... -
A Comparative Analysis of Human Behavior Prediction Approaches in Intelligent Environments
(MDPI, 2022-01-18)Behavior modeling has multiple applications in the intelligent environment domain. It has been used in different tasks, such as the stratification of different pathologies, prediction of the user actions and activities, ... -
A Computational Analysis of Protein-Protein Interaction Networks in Neurodegenerative Diseases
(Biomed Central, 2008-06-20)Background: Recent developments have meant that network theory is making an important contribution to the topological study of biological networks, such as protein-protein interaction (PPI) networks. The identification of ... -
A Featureless Approach to 3D Polyhedral Building Modeling from Aerial Images
(MDPI, 2011)This paper presents a model-based approach for reconstructing 3D polyhedral building models from aerial images. The proposed approach exploits some geometric and photometric properties resulting from the perspective ... -
A hierarchical architecture for recognising intentionality in mental tasks on a brain-computer interface
(Public Library Science, 2019-06-18)A brain-computer interface (BCI), based on motor imagery EEG, uses information extracted from the electroencephalography signals generated by a person who intends to perform any action. One of the most important issues of ... -
A Hybrid Control Approach for the Swing Free Transportation of a Double Pendulum with a Quadrotor
(MDPI, 2021-06-13)In this article, a control strategy approach is proposed for a system consisting of a quadrotor transporting a double pendulum. In our case, we attempt to achieve a swing free transportation of the pendulum, while the ... -
A mathematical analysis of EDAs with distance-based exponential models
(Springer, 2022)Estimation of Distribution Algorithms have been successfully used to solve permutation-based Combinatorial Optimization Problems. In this case, the algorithms use probabilistic models specifically designed for codifying ... -
A Multi-Disciplinary Approach to Remote Sensing through Low-Cost UAVs
(MDPI, 2017-06)The use of Unmanned Aerial Vehicles (UAVs) based on remote sensing has generated low cost monitoring, since the data can be acquired quickly and easily. This paper reports the experience related to agave crop analysis with ... -
A Real Application of an Autonomous Industrial Mobile Manipulator within Industrial Context
(MDPI, 2021-05-27)In modern industry there are still a large number of low added-value processes that can be automated or semi-automated with safe cooperation between robot and human operators. The European SHERLOCK project aims to integrate ... -
A Review of Estimation of Distribution Algorithms in Bioinformatics
(Biomed Central, 2008-09-11)Evolutionary search algorithms have become an essential asset in the algorithmic toolbox for solving high-dimensional optimization problems in across a broad range of bioinformatics problems. Genetic algorithms, the most ... -
A revisited branch-and-cut algorithm for large-scale orienteering problems
(Elsevier, 2024-02)The orienteering problem is a route optimization problem which consists of finding a simple cycle that maximizes the total collected profit subject to a maximum distance limitation. In the last few decades, the occurrence ... -
A secure data publishing and access service for sensitive data from Living Labs: enabling collaboration with external researchers via shareable data
(MDPI, 2024-05-28)Intending to enable a broader collaboration with the scientific community while maintaining privacy of the data stored and generated in Living Labs, this paper presents the Shareable Data Publishing and Access Service for ... -
Above-ground biomass estimation from LiDAR data using random forest algorithms
(Elsevier, 2022-02)Random forest (RF) models were developed to estimate the biomass for the Pinus radiata species in a region of the Basque Autonomous Community where this species has high cover, using the National Forest Inventory, allometric ... -
Active Mapping and Robot Exploration: A Survey
(MDPI, 2021-04-02)Simultaneous localization and mapping responds to the problem of building a map of the environment without any prior information and based on the data obtained from one or more sensors. In most situations, the robot is ... -
Actor-critic continuous state reinforcement learning for wind-turbine control robust optimization
(Elsevier, 2022-04)[EN] The control of Variable-Speed Wind-Turbines (VSWT) extracting electrical power from the wind kinetic energy are composed of subsystems that need to be controlled jointly, namely the blade pitch and the generator torque ... -
Affordance-Based Grasping Point Detection Using Graph Convolutional Networks for Industrial Bin-Picking Applications
(MDPI, 2021-01-26)Grasping point detection has traditionally been a core robotic and computer vision problem. In recent years, deep learning based methods have been widely used to predict grasping points, and have shown strong generalization ... -
An Agave Counting Methodology Based on Mathematical Morphology and Images Acquired through Unmanned Aerial Vehicles
(MDPI, 2020-11-02)Blue agave is an important commercial crop in Mexico, and it is the main source of the traditional mexican beverage known as tequila. The variety of blue agave crop known as Tequilana Weber is a crucial element for tequila ... -
An ongoing review of speech emotion recognition
(Elsevier, 2023-04)User emotional status recognition is becoming a key feature in advanced Human Computer Interfaces (HCI). A key source of emotional information is the spoken expression, which may be part of the interaction between the human ... -
Analysis of dominant classes in universal adversarial perturbations
(Elsevier, 2022-01)The reasons why Deep Neural Networks are susceptible to being fooled by adversarial examples remains an open discussion. Indeed, many different strategies can be employed to efficiently generate adversarial attacks, some ... -
Analysis of the Sensitivity of the End-Of-Turn Detection Task to Errors Generated by the Automatic Speech Recognition Process
(Elsevier, 2021-04)An End-Of-Turn Detection Module (EOTD-M) is an essential component of automatic Spoken Dialogue Systems. The capability of correctly detecting whether a user?s utterance has ended or not improves the accuracy in interpreting ...