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Development of artificial intelligence models for the enrichment and exploitation of geospatial data in the built environment
(2022-12-23)
Geospatial data treatment is an important task since it is a big part of big data. Nowadays, geospatial data exploitation is lacking in terms of artificial intelligence. In this work, we focus on the usage of a machine ...
Mitigación autónoma de intrusiones en redes SDN utilizando agentes inteligentes basados en MuZero
(2022-12-23)
El paradigma de las redes definidas por software (SDN) permite desarrollar sistemas que monitorizan y controlan el tráfico de una red de forma centralizada, facilitando la implementación de sistemas basados en el aprendizaje ...
Trenen trakzio profilen optimizazioa energia kontsumoa minimizatuz
(2022-12-23)
[EU] Proiektu hau CAF-Signalling enpresak dituen beharrei erantzun bat emateko burutu da.
Gaur egun energia kontsumoaren minimizazioa enpresa guztiek mahai gainean jarri behar
duten gai bat da, eta bide horretan, tren ...
A tableau method for the realizability and synthesis of reactive safety specifications
(2022-12-23)
Reactive systems are systems that continuously interact with the environment. In general, as they are critical systems, a failure or malfunction can result in serious consequences, such as loss of human lives or large ...
Comparación entre modelos Shallow y Deep para la detección de anomalías
(2022-12-23)
Este documento recoge el proceso seguido para la realización del Trabajo de Fin de Máster, el cual consiste en aprender diferentes modelos de One Class Classification para la clasificación de fallos del eje de una grúa. ...
Evaluation and development of deep neural networks for super-resolution of microscopy and astrophysics images
(2022-12-23)
Due to physical constrains of an Electron Microscope, capturing high-resolution scans of a subject takes a very long time. On the other hand, running a Gravitational N-body simulation of hundreds of millions of particles, ...
Understanding the elementary landscape decomposition of the QAP and its effects on local search based algorithms
(2022-12-23)
Elementary landscapes are a special type of combinatorial landscapes that have some properties that make them particularly suitable for working with meta-heuristic algorithms, specially local search based methods. In most ...
Lithium-ion battery remaining useful life prediction
(2022-12-23)
Lithium-Ion Battery Remaining Useful Life Prediction work consists of an initial approach to battery life prediction using Severson dataset and data-driven LSTM-based RUL predictive methods.
Although the memory is ...