Search results for "intel·ligència artificial"
showing 10 items of 21 documents
Decision support systems (DSS) for wastewater treatment plants - A review of the state of the art.
2019
The use of decision support systems (DSS) allows integrating all the issues related with sustainable development in view of providing a useful support to solve multi-scenario problems. In this work an extensive review on the DSSs applied to wastewater treatment plants (WWTPs) is presented. The main aim of the work is to provide an updated compendium on DSSs in view of supporting researchers and engineers on the selection of the most suitable method to address their management/operation/design problems. Results showed that DSSs were mostly used as a comprehensive tool that is capable of integrating several data and a multi-criteria perspective in order to provide more reliable results. Only …
Una aproximación general al desarrollo de los coches autónomos
2021
El propósito de este trabajo consiste en llevar a cabo una aproximación introductoria al ámbito de los coches autónomos. En primer lugar, se hace un breve repaso histórico para observar su evolución y posteriormente se destaca la importancia que posee la investigación en inteligencia artificial para el desarrollo de esta tecnología autónoma. Los coches autónomos suscitan un cambio cultural en la movilidad que viene acompañado de ventajas, oportunidades, riesgos y amenazas que deben ser sometidas a un juicio valorativo. Por ello resulta fundamental llevar a cabo una aproximación general al desarrollo de los coches autónomos como una novedad tecnológica que condicionará la vida del futuro en …
A Trajectory-Driven 3D Channel Model for Human Activity Recognition
2021
This paper concerns the design, analysis, and simulation of a 3D non-stationary channel model fed with inertial measurement unit (IMU) data. The work in this paper provides a framework for simulating the micro-Doppler signatures of indoor channels for human activity recognition by using radiofrequency-based sensing technologies. The major human body segments, such as wrists, ankles, torso, and head, are modelled as a cluster of moving point scatterers. We provide expressions for the time variant (TV) speed and TV angles of motion based on 3D trajectories of the moving person. Moreover, we present mathematical expressions for the TV Doppler shifts and TV path gains associated with each movin…
Humanismo tecnológico: fundamento para una inteligencia artificial responsable
2019
Los rápidos avances en el campo de la inteligencia artificial (IA) en las últimas décadas ponen de relieve la necesidad de incorporar criterios éticos de responsabilidad. Esa incorporación permitirá el planteamiento de una inteligencia artificial responsable (IAR) que tendrá que fundamentarse en la formulación de un nuevo humanismo. Se entiende que a partir de un humanismo tecnológico se podría impulsar la IAR en el contexto tecnológico actual. Los desafíos de la IA imponen el imperativo de plantear un humanismo de este tipo que asuma un compromiso con miras al futuro. En ese sentido, el humanismo tecnológico representa la exigencia de un tiempo de desafíos tecnológicos y a la vez una prem…
Ética para la inteligencia artificial sostenible
2022
Este artículo está sujeto a una licencia CC BY 4.0
Sustainable artificial intelligence and constructive ethical assessment
2022
Este artículo esta sujeto a una licencia CC BY 4.0
WiWeHAR: Multimodal Human Activity Recognition Using Wi-Fi and Wearable Sensing Modalities
2020
Robust and accurate human activity recognition (HAR) systems are essential to many human-centric services within active assisted living and healthcare facilities. Traditional HAR systems mostly leverage a single sensing modality (e.g., either wearable, vision, or radio frequency sensing) combined with machine learning techniques to recognize human activities. Such unimodal HAR systems do not cope well with real-time changes in the environment. To overcome this limitation, new HAR systems that incorporate multiple sensing modalities are needed. Multiple diverse sensors can provide more accurate and complete information resulting in better recognition of the performed activities. This article…
Comparative Study of Several Machine Learning Algorithms for Classification of Unifloral Honeys
2021
Unifloral honeys are highly demanded by honey consumers, especially in Europe. To ensure that a honey belongs to a very appreciated botanical class, the classical methodology is palynological analysis to identify and count pollen grains. Highly trained personnel are needed to perform this task, which complicates the characterization of honey botanical origins. Organoleptic assessment of honey by expert personnel helps to confirm such classification. In this study, the ability of different machine learning (ML) algorithms to correctly classify seven types of Spanish honeys of single botanical origins (rosemary, citrus, lavender, sunflower, eucalyptus, heather and forest honeydew) was investi…
Hermenéuticas de la intimidad: horizontes para educar en una sociedad hiperconectada
2022
La finalidad de este trabajo es doble: por un lado, agradecer la cordialidad y profundidad del magisterio filosófico de Juan Manuel Almarza, y por otro, explorar los cambios que se han producido en la educación hiperconectada mediante tres figuras o 'tipos' que contribuyan a facilitar un diagnóstico ético de la encrucijada cultural del profesorado. El peregrino, el turista y el juglar son tres figuras o 'tipos educativos' para interpretar las prácticas del profesorado. No son tipos para conocer las presiones externas a las que está sometido el profesorado, sino para descubrir una responsabilidad que no puede prescindir de categorías antropológicas básicas como las de intimidad y autenticida…
CHAIMELEON Project: Creation of a Pan-European Repository of Health Imaging Data for the Development of AI-Powered Cancer Management Tools
2022
[EN] The CHAIMELEON project aims to set up a pan-European repository of health imaging data, tools and methodologies, with the ambition to set a standard and provide resources for future AI experimentation for cancer management. The project is a 4 year long, EU-funded project tackling some of the most ambitious research in the fields of biomedical imaging, artificial intelligence and cancer treatment, addressing the four types of cancer that currently have the highest prevalence worldwide: lung, breast, prostate and colorectal. To allow this, clinical partners and external collaborators will populate the repository with multimodality (MR, CT, PET/CT) imaging and related clinical data. Subse…