Exploració per tema "Clustering"
Ara es mostren els items 1-20 de 120
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A complexity-effective simultaneous multithreading architecture
(Institute of Electrical and Electronics Engineers (IEEE), 2005)
Text en actes de congrés
Accés obertDifferent applications may exhibit radically different behaviors and thus have very different requirements in terms of hardware support. In simultaneous multithreading (SMT) architectures, the hardware is shared among ... -
A fuzzy learning method to segment visitors of a tourist attraction
(2018)
Text en actes de congrés
Accés restringit per política de l'editorialWe propose in this paper a method which segments demographic and contextual attributes of tourists when visiting an attraction. Clustering patterns based on categorical attributes can be challenging as it is difficult to ... -
A fuzzy-based cluster-head selection system for WSNs: a comparison study for static and mobile sensors
(IEEE Press. Institute of Electrical and Electronics Engineers, 2012)
Text en actes de congrés
Accés restringit per política de l'editorial -
A method for clustering and cooperation in wireless multimedia sensor networks
(2010-04)
Article
Accés obertWireless multimedia sensor nodes sense areas that are uncorrelated to the areas covered by radio neighbouring sensors. Thus, node clustering for coordinating multimedia sensing and processing cannot be based on classical ... -
A methodology for maintaining consistency between conceptual interpretations of nested partitions
(IOSPress, 2016-10)
Capítol de llibre
Accés restringit per política de l'editorialThe relationship between interpretations of nested partitions is analyzed in this work, since there are multiple situations where a refinement of the original partition arises. As a result, a new methodology NCI-IMS is ... -
A Methodology of knowledge discovery in serial measurement applied to a psychiatric domain
(2001-11)
Report de recerca
Accés obertThe paper introduces a methodology of Knowledge Discovery in Serial Measurement (KDSM) for analyzing repeated very short time series with a blocking factor in ill-structured domains. This proposal focuses on results ... -
A novel clustering method for breaking down the symmetric multiple traveling salesman problem
(OmniaScience, 2021-04)
Article
Accés obertPurpose: This study proposes a new two-stage clustering method to break down the symmetric multiple traveling salesman problem (mTSP) into several single standard traveling salesman problems, each of which can then be ... -
A one-pass clustering based sketch method for network monitoring
(Institute of Electrical and Electronics Engineers (IEEE), 2023-12)
Article
Accés obertNetwork monitoring solutions need to cope with increasing network traffic volumes, as a result, sketch-based monitoring methods have been extensively studied to trade accuracy for memory scalability and storage reduction. ... -
A qualitative multi-attribute model for the selection of the private hydropower plant investments in Turkey: by foundation of the search results clustering engine (Carrot2), hydropower plant clustering, DEXi and DEXiTree
(OmniaScience, 2016-04)
Article
Accés obertPurpose: The electricity demand in Turkey has been increasing for a while. Hydropower is one of the major electricity generation types to compensate this electricity demand in Turkey. Private investors (domestic and ... -
A sampling-based approach for automatic generation of microbenchmarks with a representative memory state
(Universitat Politècnica de Catalunya, 2021-06-28)
Treball Final de Grau
Accés obertA mesura que els processadors han esdevingut més complexos, i així ho ha fet també la tecnologia en què es fabriquen, el temps de simulació del processador físic ha incrementat considerablement. Per reduir el temps de ... -
Advances in clustering and visualization of time series using GTM through time
(2008-09)
Article
Accés restringit per política de l'editorialMost of the existing research on multivariate time series concerns supervised forecasting problems. In comparison, little research has been devoted to their exploration through unsupervised clustering and visualization. ... -
Allocation of applications to Fog resources via semantic clustering techniques: with scenarios from intelligent transportation systems
(Springer Nature, 2021-03)
Article
Accés obertThe fast development in IoT and Cloud technologies has propelled the emergence of a variety of computing paradigms, among which Fog and Edge computing are salient computing technologies. Such new paradigms are opening up ... -
An algorithm for the microaggregation problem using column generation
(2022-08-01)
Article
Accés obertThe field of statistical disclosure control aims to reduce the risk of re-identifying an individual from disseminated data, a major concern among national statistical agencies. Operations Research (OR) techniques have been ... -
An algorithm for the microaggregation problem using column generation
(2020-06)
Report de recerca
Accés obertThe field of Statistical Disclosure Control aims at reducing the risk of re-identification of an individualwhen disseminating data, and it is one of the main concerns of national statistical agencies. OperationsResearch ... -
Anàlisi, disseny i implementació d’un quadre de comandament (dashboard) interactiu a la web basat en R-Shiny per l’anàlisi i explotació de la Base de Dades del Mapa Hidrogeològic de Catalunya
(Universitat Politècnica de Catalunya, 2023-06)
Projecte Final de Màster Oficial
Accés obert
Realitzat a/amb: Institut Cartogràfic i Geològic de CatalunyaAquesta memòria presenta la implementació d’una eina visual i intuïtiva utilitzant diferents paquets de R com shiny, shinydashboard i leaflet. Aplicant models de classificació no supervisats per la classificació de punts ... -
Análisis de medidas repetidas mediante el uso de la curva media como síntesis
(2003-09-04)
Report de recerca
Accés obertThis technical report presents the obtained results from the application of KDSM methodology and Summary Measures method to repeated and very short serial measures with blocking factor on psychiatry ill-structured domain -
Anomaly detection model selection using minimum description length
(Universitat Politècnica de Catalunya, 2020-07)
Projecte Final de Màster Oficial
Accés restringit per acord de confidencialitat
Realitzat a/amb: University of Edinburgh. School of InformaticsDetecting objects that deviate significantly from the rest of a dataset is a complex process which requires advanced techniques. A great variety of algorithms to detect anomalies have been presented over the last years, ... -
Aplicación de algoritmos de clustering desarrollados en el entorno FIR a la predicción de la concentración de ozono
(2002-06-06)
Report de recerca
Accés obertEl presente trabajo tiene como objetivo estudiar la aplicación de diferentes al-goritmos de clustering desarrollados en el entorno de la metodología FIR al problema de la predicción a largo plazo de las concentraciones ... -
Aplicación de KDSM en un dominio específico donde se presentan medidas seriadas muy cortas y repetidas con factor de bloque measures with a blocking factor are present
(2002-07-02)
Report de recerca
Accés obertThe present document reports an application process of the Knowledge Discovery in Serial Measurement (KDSM) methodology, the results obtained with it, KDSM is a methodology for the analysis of very short and repeated ... -
Atles: Mapa de relacions entre àrees de coneixement de la UPC
(Universitat Politècnica de Catalunya, 2020-09-28)
Treball Final de Grau
Accés obertUna tasca que pren molt de temps, no sempre és acurada i no s'aprofita al màxim és l'etiquetat de les publicacions dels investigadors. En aquest projecte es desenvoluparà procés que ho automatitzi, i a més a més generi un ...