Listar por tema "Machine learning"

Mostrando ítems 1-13 de 13

    • closedAccess   A Data-centric Approach for a Day-ahead System Non-Synchronous Penetration Forecast 

      Cardo Miota, Javier; Trivedi, Rohit; Patra, Sandipan; Khadem, Shafi; Bahloul, Mohamed Institute of Electrical and Electronics Engineers Inc. (2024-02-02)
      This paper presents a novel data-centric approach to predict the day-ahead system non-synchronous penetration (SNSP) ratio in the Irish power system. The proposed method uses a deep learning algorithm, based on feedforward ...

    • openAccess   A radiosity-based method to avoid calibration for Indoor Positioning Systems 

      Belmonte-Fernández, Óscar; Montoliu Colás, Raul; Torres-Sospedra, Joaquín; Sansano-Sansano, Emilio; Chia-Aguilar, Daniel Elsevier (2018-09-01)
      Due to the widespread use of mobile devices, services based on the users current indoor location are growing in significance. Such services are developed in the Machine Learning and Experst Systems realm, and ranges from ...

    • openAccess   Beyond “sex prediction”: estimating and interpreting multivariate sex differences and similarities in the brain 

      Sanchis-Segura, Carla; Aguirre, Naiara; Cruz Gómez, Álvaro Javier; Félix-Esbrí, Sonia; Forn, Cristina Elsevier ScienceDirect (2022-05-30)
      Previous studies have shown that machine-learning (ML) algorithms can “predict” sex based on brain anatomical/ functional features. The high classification accuracy achieved by ML algorithms is often interpreted as revealing ...

    • openAccess   Cocaine-Induced Preference Conditioning: a Machine Vision Perspective 

      Traver Roig, Vicente Javier; Pla, Filiberto; MIQUEL, MARTA; Carbó Gas, María; Gil-Miravet, Isis; Guarque-Chabrera, Julian Springer (2018)
      Existing work on drug-induced synaptic changes has shown that the expression of perineuronal nets (PNNs) at the cerebellar cortex can be regulated by cocaine-related memory. However, these studies on animals have mostly ...

    • openAccess   Improving the understanding of web user behaviors through machine learning analysis of eye-tracking data 

      Castilla, Diana; Del Tejo, Omar; Pons, Patricia; Signol, François; Rey, Beatriz; Suso-Ribera, Carlos; Perez-Cortes, Juan-Carlos Springer (2023-07)
      Eye-tracking techniques are widely used to analyze user behavior. While eye-trackers collect valuable quantitative data, the results are often described in a qualitative manner due to the lack of a model that interprets ...

    • openAccess   Indoor Positioning for Monitoring Older Adults at Home: Wi-Fi and BLE Technologies in Real Scenarios 

      Montoliu Colás, Raul; Sansano-Sansano, Emilio; Gascó, Arturo; Belmonte-Fernández, Óscar; Caballer Miedes, Antonio MDPI (2020-04-28)
      This paper presents our experience on a real case of applying an indoor localization system formonitoringolderadultsintheirownhomes. Sincethesystemisdesignedtobeusedbyrealusers, therearemanysituationsthatcannotbecontroll ...

    • openAccess   Intrusive sensors for two-phase flow measurements 

      Monrós Andreu, Guillem Universitat Jaume I (2022-11-18)
      Electrical impedance techniques have been investigated and used for the measurement of two-phase flows, both theoretically and experimentally. A proprietary design of intrusive probes composed of four sensors has been used ...

    • closedAccess   Machine learning methods to forecast temperature in buildings 

      Mateo, Fernando; Carrasco, Juan José; Sellami, Abderrahim; Millán Giraldo, Mónica; Domínguez, Manuel; Soria Olivas, Emilio Elsevier (2013)
      Efficient management of energy in buildings saves a very important amount of resources (both economic and technological). As a consequence, there is a very active research in this field. One of the keys of energy management ...

    • openAccess   Machine learning-based prediction model for battery levels in IoT devices using meteorological variables 

      Zurita Macias, Juan Emilio; Trilles, Sergio Elsevier (2024-04-01)
      Efficient energy management is vital for the sustainability of IoT devices employing solar harvesting systems, particularly to circumvent battery depletion during periods of diminished solar incidence. Embracing the ...

    • openAccess   Machine learning-based techniques for indoor localization and human activity recognition through wearable devices 

      Sansano Sansano, Emilio Universitat Jaume I (2020-12-22)
      This thesis approaches the study of several machine learning techniques to improve the performance of indoor positioning systems, with a special focus on wearable and low-cost devices. It also presents some tools designed ...

    • openAccess   Making Biosignals Available 

      Alfaras Espinàs, Miquel Universitat Jaume I (2021-10-22)
      This thesis is an invitation to rethink how simplistic approaches to biosignal processing enrich the potential of personal sensing in line with the fast development of what have come to be undeniably ubiquitous technologies. ...

    • openAccess   Multidimensional Author Profling for Social Business Intelligence 

      Lanza Cruz, Indira Lázara; Berlanga Llavori, Rafael; Aramburu Cabo, María José Springer (2023)
      This paper presents a novel author profling method specially aimed at classifying social network users into the multidimensional perspectives for social business intelligence (SBI) applications. In this scenario, being the ...

    • openAccess   Study and Prediction of Air Quality in Smart Cities through Machine Learning Techniques Considering Spatiotemporal Components 

      Iskandaryan, Ditsuhi Universitat Jaume I (2023-03-07)
      Air quality is considered one of the top concerns. Information and knowledge about air quality can assist in effectively monitoring and controlling concentrations, reducing or preventing its harmful impacts and consequences. ...