Browsing by Author "Nebot Castells, M. Àngela"
Now showing items 21-40 of 70
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CÀLCUL DIFERENCIAL I INTEGRAL (2n quadrimestre)
(Universitat Politècnica de Catalunya, 2010-06-04)
Exam
Restricted access to the UPC academic community -
CÀLCUL DIFERENCIAL I INTEGRAL (2n quadrimestre)
(Universitat Politècnica de Catalunya, 2010-06-04)
Exam
Restricted access to the UPC academic community -
Charting perceptual spaces with fuzzy rules
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Conference lecture
Open AccessAlgorithmic music nowadays performs domain specific tasks for which classical algorithms do not offer optimal solutions or require user's expertise. Among these tasks is the extraction of models from data that offer an ... -
Classifying and generalizing successful parameter combinations for sound design
(IOS Press, 2018)
Part of book or chapter of book
Open AccessOperating parametric systems in the context of sound design imposes cognitive and practical challenges. The present contribution applies rule extraction to analyze and to generalize a set of parameter combinations, which ... -
Comparison between composite index solution surfaces with fuzzy composite index decision surfaces
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Conference lecture
Open AccessComposite indices are used in many of the traditional approaches to measure risk to natural hazards. However, such indices are often built assuming linear interdependencies between the aggregated components, comprising in ... -
Customer continuity management as a foundation for churn data mining
(2007-01)
Research report
Open AccessThis report lays the first theoretical foundations for a research program on analytical churn management. In the current hypercompetitive business scenario, firms have to bend over backwards in their strategies both to ... -
Detecció de fallades en un sistema de piles de combustible
(2010-02-15)
Research report
Open AccessIn this work a fault diagnosis system for non-linear plants based on fuzzy logic, called VisualBlock-FIR, is presented and applied to an energy generation system based on fuel cells. VisualBlock-FIR runs under the Simulink ... -
Detecció i identificació de falles en una xarxa de distribució d'aigües
(2001-04)
Research report
Open AccessThis technical report deals with two of the main tasks of Fault Monitoring Systems (FMS): fault detection and fault identification. During fault detection, the FMS should recognize that the plant behavior is abnormal, ... -
Energy performance forecasting of residential buildings using fuzzy approaches
(2020-01-20)
Article
Open AccessThe energy consumption used for domestic purposes in Europe is, to a considerable extent, due to heating and cooling. This energy is produced mostly by burning fossil fuels, which has a high negative environmental impact. ... -
Enhanced equal frequency partition method for the identification of a water demand system
(Sarjoughian,H.S.; Cellier, F.E.; Marefat, M.M.; Rozenblit, J.W. (eds.) Institute of Electrical and Electronics Engineers, 2000)
Conference report
Open AccessThis paper deals with unsupervised partitioning. A first goal of this paper is to present an enhancement to the Equal Frequency Partition (EFP) method that allows to reduce, to some extent, the main drawback of this classical ... -
Evolution of the participation of women in university computer science studies in Spain and in Europe
(Institute of Electrical and Electronics Engineers (IEEE), 2023)
Conference report
Open AccessThis paper presents a comprehensive examination of the current state of underrepresentation of women in computer science (CS) degrees in Spain. It offers an overview of the situation across autonomous communities in Spain, ... -
Fault detection and identification in a fuel cell system
(IOS Press, 2009)
Conference report
Restricted access - publisher's policyIn this work a fault diagnosis system for non-linear plants based on fuzzy logic, called VisualBlock-FIR, is presented and applied to an energy generation system based on fuel cells. VisualBlock-FIR runs under the Simulink ... -
Feature selection algorithms: a survey and experimental evaluation
(Institute of Electrical and Electronics Engineers (IEEE), 2002)
Conference report
Open AccessIn view of the substantial number of existing feature selection algorithms, the need arises to count on criteria that enables to adequately decide which algorithm to use in certain situations. This work assesses the ... -
Feature selection algorithms: a survey and experimental evaluation
(2003-02)
Research report
Open AccessIn view of the substantial number of existing feature selection algorithms, the need arises to count on criteria that enables to adequately decide which algorithm to use in certain situations. This work reviews several ... -
Forest fire forecasting using fuzzy logic models
(2021-07-29)
Article
Open AccessIn this study, we explored hybrid fuzzy logic modelling techniques to predict the burned area of forest fires. Fast detection is crucial for successful firefighting, and a model with an accurate prediction ability is ... -
Fuzzy inductive reasoning forecasting strategies able to cope with missing data: A smart grid application
(2017-02)
Article
Open AccessDealing with missing data is of great practical and theoretical interest in forecasting applications. In this study, we deal with the problem of forecasting with missing data in smart grid and BEMS applications, where the ... -
Fuzzy inductive reasoning forecasting strategies able to cope withmissing data: A smart grid application
(2017-02)
Article
Open AccessDealing with missing data is of great practical and theoretical interest in forecasting applications. In this study, we deal with the problem of forecasting with missing data in smart grid and BEMS applications, where the ... -
Fuzzy inductive reasoning: a consolidated approach to data-driven construction of complex dynamical systems
(2012)
Article
Restricted access - publisher's policyFuzzy inductive reasoning (FIR) is a modelling and simulation methodology derived from the General Systems Problem Solver. It compares favourably with other soft computing methodologies, such as neural networks, genetic ... -
Fuzzy models: Easier to understand and an easier way to handle uncertainties in climate change research
(2014)
Part of book or chapter of book
Restricted access - publisher's policyGreenhouse gas emission scenarios (through 2100) developed by the Intergovernmental Panel on Climate Change when converted to concentrations and atmospheric temperatures through the use of climate models result in a wide ... -
Helping decision-makers manage resilience under different climate change scenarios: global vs local
(2021-02-18)
Article
Open AccessThe Intergovernmental Panel on Climate Change (IPCC) fifth assessment report states that warming of the climate system is unequivocal and notes that each of the last three decades has been successively warmer at the Earth’s ...
