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Data-driven classification of the chemical composition of calcine in a ferronickel furnace oven using machine learning techniques
(Elsevier, 2023-06-01)
Article
Accés obertCalcines' chemical composition analysis is a key process in ferronickel smelting. These values allow for a clear understanding of the smelted product's expected quality, catering for any required chemical upgrading of the ... -
Data-driven cost analysis using sensors based time series-based data
(Universitat Politècnica de Catalunya, 2022-08)
Projecte Final de Màster Oficial
Accés restringit per decisió de l'autor
Realitzat a/amb: Cranfield UniversityGlobal warming has become a major issue over the last thirty years, with research being carried out to reduce the amount of pollution emitted by developing new ways of producing day-to-day needs. Vehicles, as daily transport ... -
Data-driven crowd simulation
(Barcelona Supercomputing Center, 2017-05-04)
Text en actes de congrés
Accés obertOur objective is to simulate entire cities with the most realistic possible scenario. This kind of systems require a lot of processing power, therefore we use hybrid computer clusters with graphics cards (GPUs). GPUs allow ... -
Data-driven decentralized algorithm for wind farm control with population-games assistance
(2019)
Article
Accés obertIn wind farms, the interaction between turbines that operate close by experience some problems in terms of their power generation. Wakes caused by upstream turbines are mainly responsible of these interactions, and the ... -
Data-driven demand flexibility estimation in a commercial buildings from air conditioning and lighting system
(2021)
Text en actes de congrés
Accés restringit per política de l'editorialRenewable and distributed energy sources, with photovoltaic in the first place, are leading the energy transition. However, they alone will hardly find the way to success in this challenge because of their intrinsic ... -
Data-driven dimensional analysis of heat transfer in irradiated particle-laden turbulent flow
(2020)
Article
Accés obertThe study of thermal radiation interacting with particle-laden turbulence is of great importance in a wide range of scientific and engineering applications. The fundamental and applied study of such systems is challenging ... -
Data-driven elicitation of quality requirements in agile companies
(Springer, 2019)
Text en actes de congrés
Accés obertQuality Requirements (QRs) are a key artifact to ensure the quality and success of a software system. Despite its importance, QRs have not reached the same degree of attention as its functional counterparts, especially in ... -
Data-driven elicitation, assessment and documentation of quality requirements in agile software development
(Springer, 2018)
Comunicació de congrés
Accés obertQuality Requirements (QRs) are difficult to manage in agile software development. Given the pressure to deploy fast, quality concerns are often sacrificed for the sake of richer functionality. Besides, artefacts as user ... -
Data-driven energy prediction modeling for both energy efficiency and maintenance in smart manufacturing systems
(Elsevier, 2022-01)
Article
Accés obertThe optimization and monitoring of the energy consumption of machinery lead to a sustainable and efficient industry. For this reason and following a digital twin strategy, an online data-driven energy modeling approach ... -
Data-driven estimation of flights’ hidden parameters
(Single European Sky ATM Research (SESAR), 2022)
Text en actes de congrés
Accés obertThis paper presents a data-driven methodology for the estimation of flights’ hidden parameters, combining mechanistic and AI/ML models. In the context of this methodology the paper studies several AI/ML methods and reports ... -
Data-driven evolutionary-game-based control for drinking-water networks
(Springer, 2017)
Capítol de llibre
Accés obertThis book presents a set of approaches for the real-time monitoring and control of drinking-water networks based on advanced information and communication technologies. It shows the reader how to achieve significant ... -
Data-driven fault diagnosis and robust control: Application to PEM fuel cell systems
(2017-04-07)
Article
Accés obertA data-driven methodology that includes the unfalsified control concept in the framework of fault diagnosis and isolation (FDI) and fault-tolerant control (FTC) is presented. The selection of the appropriate controller ... -
Data-driven identification of local structural dynamics in wind turbines under various aerodynamic & marine loads
(Universitat Politècnica de Catalunya, 2015-09-14)
Projecte Final de Màster Oficial
Accés restringit per decisió de l'autorThe power generation from wind turbines constitutes an example of highly complex engineering system especially in offshore applications where flow around the tower and nacelle coupled with inflow turbu- lence and rotation ... -
Data-driven identification of optimal substitutions in soccer
(Universitat Politècnica de Catalunya, 2023-05-25)
Treball Final de Grau
Accés obert
Realitzat a/amb: Katholieke Universiteit te LeuvenL'anàlisi basada en dades del futbol és un camp en auge, i els clubs dediquen cada vegada més recursos a obtenir un avantatge competitiu mitjançant tècniques basades en dades. Les substitucions són la principal eina de la ... -
Data-driven information-theoretic tools under a second-order statistics perspective
(Universitat Politècnica de Catalunya, 2023-07-03)
Tesi
Accés obert(English) A great deal is known about second-order statistics. For many years, most of the signal processing problems have been addressed under the perspective of the first and second-order moments of the data, known to ... -
Data-driven leak localization in water distribution networks via dictionary learning and graph-based interpolation
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Text en actes de congrés
Accés obertIn this paper, we propose a data-driven leak localization method for water distribution networks (WDNs) which combines two complementary approaches: graph-based interpolation and dictionary classification. The former ... -
Data-driven leak localization in WDN using pressure sensor and hydraulic information
(2022)
Article
Accés obertMaintaining a good quality of service under a wide range of operational management is challenging for water utilities. One of the significant challenges is the location of water leaks in the large-scale water distribution ... -
Data-driven methodologies for evaluation and recommendation of energy efficiency measures in buildings. Applications in a big data environment
(Universitat Politècnica de Catalunya, 2021-12-03)
Tesi
Accés obertIn order to reach the goal set in the Paris agreement of limiting the rise in global average temperature well below 2 ºC compared to pre-industrial levels, massive efforts to reduce global greenhouse gas emissions are ... -
Data-driven methodologies for structural damage detection based on machine learning applications
(2016-12)
Capítol de llibre
Accés restringit per política de l'editorialStructural health monitoring (SHM) is an important research area, which interest is the damage identification process. Different information about the state of the structure can be obtained in the process, among them, ... -
Data-driven methodology for uncertainty quantification of aircraft trajectory predictions
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
Text en actes de congrés
Accés obertThis work present a framework based on datadriven techniques for quantifying and chaos theory for propagating the uncertainty present in the aircraft trajectory prediction process when computing the expected trajectory ...