Now showing items 81-100 of 181

    Editorial: Innovative technologies for reducing structural vibrations due to natural events and human activities 

    Caterino, Nicola; Georgakis, Christos T.; Luo, Ningsu; Monsalve, Julian Londono (Publication date: 2016-01-01)

    The need for effective structural control systems able to improve the performance of new and existing structures against service and extreme loads is ever growing. Indeed, over the last few decades the reduction of unwanted ...

    Long-Term Glucose Forecasting Using a Physiological Model and Deconvolution of the Continuous Glucose Monitoring Signal 

    Liu, Chengyuan; Vehí, Josep; Avari, Parizad; Reddy, Monika; Oliver, Nick; Georgiou, Pantelis; Herrero i Viñas, Pau (Publication date: 2019-10-08)

    Blood glucose forecasting in type 1 diabetes (T1D) management is a maturing field with numerous algorithms being published and a few of them having reached the commercialisation stage. However, accurate long-term glucose ...

    EXiTCDSS: A framework for a workflow-based CBR for interventional clinical decision support systems and its application to TAVI 

    El-Fakdi Sencianes, Andrés; Gamero Argüello, Francisco Ignacio; Meléndez i Frigola, Joaquim; Auffret, Vincent; Haigron, Pascal (Publication date: info:eu-re)

    Clinical Decision Support System (CDSSs) should form an important part of the field of clinical knowledge management technologies through their capacity to support the clinical process and use of knowledge, including ...

    CauRuler: Causal irredundant association rule miner for complex patient trajectory modelling 

    Hernández Guillamet, Guillem; López Seguí, Francesc; Vidal-Alaball, Josep; López Ibáñez, Beatriz (Publication date: 2023-03)

    Background and Objectives. Discovering causal associations between variables is one of the main goals of clinical trials, with the ultimate aim of identifying the causes of specific health status. Prior knowledge of causal ...

    Validation of an FBA model for Pichia pastoris in chemostat cultures 

    Morales Pérez, Yeimy Liceth; Tortajada, Marta; Picó i Marco, Jesús; Vehí, Josep; Llaneras Estrada, Francisco (Publication date: 2014-12-24)

    Constraint-based metabolic models and flux balance analysis (FBA) have been extensively used in the last years to investigate the behavior of cells and also as basis for different industrial applications. In this ...

    Decision support framework for space-use efficiency and arrangement of public services 

    Rusek, Robert; Meléndez i Frigola, Joaquim; Colomer Llinàs, Joan (Publication date: 2020-03-01)

    This article focuses on the issue of a sustainable space-use in public facilities and beneficial arrangement of services. Uncorrelated facility planning and service programming as well as environmental factors cause ...

    A comparison study on space-use analysis techniques and proposal of a novel method for determining space needs in public facilities 

    Rusek, Robert; Colomer Llinàs, Joan; Meléndez i Frigola, Joaquim (Publication date: 2018-05-01)

    This paper deals with inefficient space management of public real estate resulting in discrepancy between the amount of space required for provision of public services and the amount of space that is available. This situation ...

    A linear matrix inequality approach to robust fault detection filter design of linear systems with mixed time-varying delays and nonlinear perturbations 

    Karimi, Hamid Reza; Zapateiro de la Hoz, Mauricio Fabián; Luo, Ningsu (Publication date: 2010-08-01)

    In this paper, the problem of robust fault detection filter (RFDF) design for a class of linear systems with some nonlinear perturbations and mixed neutral and discrete time-varying delays is investigated. By using a ...

    Fault diagnosis by refining the parameter uncertainty space of nonlinear dynamic systems 

    Gelso, Esteban Reinaldo; Castillo, Sandra M.; Armengol Llobet, Joaquim (Publication date: 2008)

    This paper deals with fault detection and isolation problems for nonlinear dynamic systems. Both problems are stated as constraint satisfaction problems (CSP) and solved using consistency techniques. The main contribution ...

    HTE 3.0: Knowledge-based systems in cascade for familial hypercholesterolemia detection and dyslipidemia treatment 

    López Ibáñez, Beatriz; Torrent-Fontbona, Ferran; Masana Marín, Lluís; Zamora Cervantes, Alberto (Publication date: 2022-01-01)

    HTE 3.0 aims to support clinicians in the detection of patients with dyslipidemia, especially patients with familial hypercholesterolemia (FH), and in the recommendation of personalized lipid-lowering treatments. The core ...

    Artificial Intelligence for Diabetes Management and Decision Support: Literature Review 

    Contreras, Ivan; Vehí, Josep (Publication date: 2018-05)

    Artificial intelligence methods in combination with the latest technologies, including medical devices, mobile computing, and sensor technologies, have the potential to enable the creation and delivery of better management ...

    Multi-dimensional fairness for auction-based resource allocation 

    Pla Planas, Albert; López Ibáñez, Beatriz; Murillo Espinar, Javier (Publication date: 2015-01)

    Multi-attribute resource allocation problems involve the allocation of resources on the basis of several attributes, therefore, the definition of a fairness method for this kind of auctions should be formulated from a ...

    Informed recommender: basing recommendations on consumer product reviews 

    Aciar, Silvana Vanesa; Zhang, Debbie; Simoff, Simeon; Debenham, John (Publication date: 2007)

    Recommender systems attempt to predict items in which a user might be interested, given some information about the user's and items' profiles. Most existing recommender systems use content-based or collaborative filtering ...

    An Interval Intelligent-based Approach for Fault Detection and Modelling 

    Khosravi, Abbas; Armengol Llobet, Joaquim; Gelso, Esteban Reinaldo (Publication date: 2007)

    Not considered in the analytical model of the plant, uncertainties always dramatically decrease the performance of the fault detection task in the practice. To cope better with this prevalent problem, in this paper we ...

    Visual management of sags and incidents gathered in distribution substations for power quality management 

    Macaya, Daniel; Meléndez i Frigola, Joaquim; Sánchez, Jorge; Castro, M. (Publication date: 2007)

    Monitor a distribution network implies working with a huge amount of data coining from the different elements that interact in the network. This paper presents a visualization tool that simplifies the task of searching the ...

    Generative deep learning for the development of a type 1 diabetes simulator 

    Mujahid, Omer; Contreras, Ivan; Beneyto Tantiña, Aleix; Vehí, Josep (Publication date: 2024-03-16)

    Background: Type 1 diabetes (T1D) simulators, crucial for advancing diabetes treatments, often fall short of capturing the entire complexity of the glucose-insulin system due to the imprecise approximation of the physiological ...

    Case base maintenance of a personalized insulin dose recommender system for Type 1 Diabetes Mellitus 

    Torrent-Fontbona, Ferran; Massana i Raurich, Joaquim; López Ibáñez, Beatriz (Publication date: 2018)

    Comunicació presentada al First Joint Workshop on AI in Health (AIH 2018), Stockholm, Sweden, July 13-14, 2018

    Identifying services for short-term load forecasting using data driven models in a Smart City platform 

    Massana i Raurich, Joaquim; Pous i Sabadí, Carles; Burgas Nadal, Llorenç; Meléndez i Frigola, Joaquim; Colomer Llinàs, Joan (Publication date: info:eu-re)

    The paper describes an ongoing work to embed several services in a Smart City architecture with the aim of achieving a sustainable city. In particular, the main goal is to identify services required in such framework to ...

    Monitoring of low voltage grids with multilayer principal component analysis 

    Souto, Laiz; Meléndez i Frigola, Joaquim; Herraiz Jaramillo, Sergio (Publication date: 2021-02)

    This article presents a monitoring strategy based on multilayer principal component analysis (PCA) to detect and diagnose power system disturbances in large amounts of data collected by intelligent electronic devices in ...

    Spottier Targets Are Less Attractive to Tabanid Flies: On the Tabanid-Repellency of Spotty Fur Patterns 

    Blaho, Miklos; Egri, Adam; Bahidszki, Lea; Kriska, Gyorgy; Hegedüs, Ramon; Åkesson, Susanne; Horváth, Gábor (Publication date: 2012-08)

    During blood-sucking, female members of the family Tabanidae transmit pathogens of serious diseases and annoy their host animals so strongly that they cannot graze, thus the health of the hosts is drastically reduced. ...