Academic literature on the topic 'Gestione feature'
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Journal articles on the topic "Gestione feature"
ARNÁEZ ARCE, Vega María. "Planificación participativa y actuación de las Administraciones Públicas." RVAP 99-100, no. 99-100 (December 30, 2014): 407–24. http://dx.doi.org/10.47623/ivap-rvap.99.100.2014.015.
Full textSonzini, Maria Soledad, Marcela Vegetti, and Horacio P. Leone. "Una ontología para la gestión de versiones de familias de producto." Revista Latino-Americana de Inovação e Engenharia de Produção 3, no. 4 (October 21, 2015): 171. http://dx.doi.org/10.5380/relainep.v3i4.43606.
Full textKadouri, Abdillah, and Anouar Ammi. "Proposition D’une Demarche De Gestion Pour Reduire Les Risques De Conduite Des Projets D’implementation Des ERP Logistique." European Scientific Journal, ESJ 12, no. 16 (June 28, 2016): 474. http://dx.doi.org/10.19044/esj.2016.v12n16p474.
Full textSeoane Nolasco, Antonio José, and Luis Antonio Hernández Ibáñez. "Integración de SIG con visualización 3D interactiva para la gestión y seguimiento de excavaciones arqueológicas." Virtual Archaeology Review 3, no. 5 (May 13, 2012): 58. http://dx.doi.org/10.4995/var.2012.4508.
Full textCobo Ortega, Angel, Rocio Rocha Blanco, and Yurlenis Alvarez Díaz. "Selección de atributos predictivos del rendimiento académico de estudiantes en un modelo de b-learning." Edutec. Revista Electrónica de Tecnología Educativa, no. 37 (September 20, 2011): a172. http://dx.doi.org/10.21556/edutec.2011.37.390.
Full textDeschamps, P., C. Hillaire-Marcel, J. L. Michelot, R. Doucelance, B. Ghaleb, and S. Buschaert. "<sup>234</sup>U/<sup>238</sup>U Disequilibrium along stylolitic discontinuities in deep Mesozoic limestone formations of the Eastern Paris basin: evidence for discrete uranium mobility over the last 1–2 million years." Hydrology and Earth System Sciences 8, no. 1 (February 29, 2004): 35–46. http://dx.doi.org/10.5194/hess-8-35-2004.
Full textRodriguez Bernal, Luis Leonardo, Víctor Hugo Medina García, Lillyana María Giraldo Marín, and Jose Fernado Lopez Quitero. "MODELO DE INVESTIGACIÓN EN INGENIERÍA APOYADO POR LA GESTIÓN DEL CONOCIMIENTO." Redes de Ingeniería 6, no. 2 (December 26, 2015): 17. http://dx.doi.org/10.14483/udistrital.jour.redes.2015.2.a02.
Full textAvalos, María Belén Bravo, Irene García Rondón, Santiago Patricio Bravo Avalos, and Zoe Luisa Rodríguez Cotilla Luisa Rodríguez Cotilla. "Sistema Integrado de Gestión de Calidad Ambiental Sustentable para la Zona Ecuatorian Andina." Revista Produção e Desenvolvimento 2, no. 2 (August 31, 2016): 26–38. http://dx.doi.org/10.32358/rpd.2016.v2.159.
Full textSabater Fernández, Carmen. "La mujer emprendedora: identidad profesionaly factores culturales de género = Female entrepreneurs: professional identity and cultural gender factors." FEMERIS: Revista Multidisciplinar de Estudios de Género 3, no. 2 (August 1, 2018): 55. http://dx.doi.org/10.20318/femeris.2018.4320.
Full textMENDOZA B., Martin Alfonso, Angélica NAVARRO-MARTÍNEZ, Carl W. MIZE, Gerson Daniel ALDUCIN CHÁVEZ, and Patricia NEGREROS-CASTILLO. "Tendencias minimalistas en la gestión de los bosques tropicales mexicanos: motivaciones y experiencias." BOIS & FORETS DES TROPIQUES 348 (June 22, 2021): 29–36. http://dx.doi.org/10.19182/bft2021.348.a31913.
Full textDissertations / Theses on the topic "Gestione feature"
SAIBENE, AURORA. "A Flexible Pipeline for Electroencephalographic Signal Processing and Management." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2022. http://hdl.handle.net/10281/360550.
Full textThe electroencephalogram (EEG) provides the non-invasive recording of brain activities and functions as time-series, characterized by a temporal and spatial (sensor-dependent) resolution, and by brain condition-bounded frequency bands. Moreover, it presents some cost-effective device solutions. However, the resulting EEG signals are non-stationary, time-varying, and heterogeneous, being recorded from different subjects and being influenced by specific experimental paradigms, environmental conditions, and devices. Moreover, they are easily affected by noise and they can be recorded for a limited time, thus they provide a restricted number of brain conditions to work with. Therefore, in this thesis a flexible pipeline for signal processing and management is proposed to have a better understanding of the EEG signals and exploit them for a variety of applications. Moreover, the proposed flexible pipeline is divided in 4 modules concerning signal pre-processing, normalization, feature computation and management, and EEG data classification. The EEG signal pre-processing exploits the multivariate empirical mode decomposition (MEMD) to decompose the signal in oscillatory modes, called intrinsic mode functions (IMFs), and uses an entropy criterion to select the most relevant IMFs that should maintain the natural brain dynamics, while discarding uninformative components. The resulting relevant IMFs are then exploited for signal substitution and data augmentation. Even though MEMD is adapt to the EEG signal non-stationarity, further processing steps should be undertaken to mitigate these data heterogeneity. Therefore, a normalization step is introduced to obtain comparable data inter- and intra-subject and between different experimental conditions, allowing the extraction of general features in the time, frequency, and time-frequency domain for EEG signal characterization. Even though the use of a variety of feature types may provide new data patterns, they may also present some redundancies and increase the risk of incurring in classification problems like curse of dimensionality and overfitting. Therefore, a feature selection based on evolutionary algorithms is proposed to have a completely data-driven approach, exploiting both supervised and unsupervised learning models, and suggesting new stopping criteria for a modified genetic algorithm implementation. Moreover, the use of different learning models may affect the discrimination of different brain conditions. The introduction of deep learning models may provide a strategy to learn directly from the available data. By suggesting a proper input formulation it could be possible to maintain the EEG data time, frequency, and spatial information, while avoiding too complex architectures. Therefore, using different processing steps and approaches may provide general or experimental specific strategies to manage the EEG signal, while maintaining its natural characteristics.
Barak, Sasan. "Technical and Fundamental Features’ analysis for Stock Market Prediction with Data Mining Methods." Doctoral thesis, Università degli studi di Bergamo, 2019. http://hdl.handle.net/10446/128764.
Full textDi, Leo Jessica. "Costificazione delle matrici per estrusione mediante approccio "feature-based cost"." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amslaurea.unibo.it/8056/.
Full textDe, Angelis Matteo <1982>. "The effect of adding features on product attractiveness: the role of product perceived congruity." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2008. http://amsdottorato.unibo.it/1159/1/de_angelis_matteo_tesi.pdf.pdf.
Full textDe, Angelis Matteo <1982>. "The effect of adding features on product attractiveness: the role of product perceived congruity." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2008. http://amsdottorato.unibo.it/1159/.
Full textHijazi, Samah. "Semi-supervised Margin-based Feature Selection for Classification." Thesis, Littoral, 2019. http://www.theses.fr/2019DUNK0546.
Full textFeature selection is a preprocessing step crucial to the performance of machine learning algorithms. It allows reducing computational costs, improving classification performances and building simple and understandable models. Recently, using pairwise constraints, a cheaper kind of supervision information that does not need to reveal the class labels of data points, received a great deal of interest in the domain of feature selection. Accordingly, we first proposed a semi-supervised margin-based constrained feature selection algorithm called Relief-Sc. It is a modification of the well-known Relief algorithm from its optimization perspective. It utilizes cannot-link constraints only to solve a simple convex problem in a closed-form giving a unique solution. However, we noticed that in the literature these pairwise constraints are generally provided passively and generated randomly over multiple algorithmic runs by which the results are averaged. This leads to the need for a large number of constraints that might be redundant, unnecessary, and under some circumstances even inimical to the algorithm’s performance. It also masks the individual effect of each constraint set and introduces a human labor-cost burden. Therefore, we suggested a framework for actively selecting and then propagating constraints for feature selection. For that, we made use of the similarity matrix based on Laplacian graph. We assumed that when a small perturbation of the similarity value between a data couple leads to a more well-separated cluster indicator based on the second eigenvector of the graph Laplacian, this couple is expected to be a pairwise query of higher and more significant impact. Constraints propagation, on the other side, ensures increasing supervision information while decreasing the cost of human labor. Besides, for the sake of handling feature redundancy, we proposed extending Relief- Sc to a feature selection approach that combines feature clustering and hypothesis margin maximization. This approach is able to deal with the two core aspects of feature selection i.e. maximizing relevancy while minimizing redundancy (maximizing diversity) among features. Eventually, we experimentally validate our proposed algorithms in comparison to other known feature selection methods on multiple well-known UCI benchmark datasets which proved to be prominent. Only with little supervision information, the proposed algorithms proved to be comparable to supervised feature selection algorithms and were superior to the unsupervised ones
Sorel, Anthony. "Gestion de la variabilité morphologique pour la reconnaissance de gestes naturels à partir de données 3D." Phd thesis, Université Rennes 2, 2012. http://tel.archives-ouvertes.fr/tel-00763619.
Full textSanzani, Matteo. "La costruzione di un indicatore di salute per la manutenzione predittiva attraverso la programmazione genetica mono-obiettivo." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.
Find full textKurien, Anish Mathew. "Approches pour la classification du trafic et l’optimisation des ressources radio dans les réseaux cellulaires : application à l’Afrique du Sud." Thesis, Paris Est, 2012. http://www.theses.fr/2012PEST1090/document.
Full textThe growth in the number of cellular mobile subscribers worldwide has far outpaced expected rates of growth with worldwide mobile subscriptions reaching 6 Billion subscribers in 2011 according to the International Telecommunication Union (ITU). More than 75% of this figure is in developing countries. With this rate of growth, greater pressure is placed on radio resources in mobile networks which impacts on the quality and grade of service (GOS) in the network. With varying demands that are generated from different subscriber classes in a network, the ability to distinguish between subscriber types in a network is vital to optimise infrastructure and resources in a mobile network. In this study, a new approach for subscriber classification in mobile cellular networks is proposed. In the proposed approach, traffic data extracted from two network providers in South Africa is considered. The traffic data is first decomposed using traditional feature extraction approaches such as the Empirical Mode Decomposition (EMD) and the Discrete Wavelet Packet Transform (DWPT) approach. The results are then compared with the Difference Histogram approach which considers the number of segments of increase in the time series. Based on the features extracted, classification is then achieved by making use of a Fuzzy C-means algorithm. It is shown from the results obtained that a clear separation between subscriber classes based on inputted traffic signals is possible through the proposed approach. Further, based on the subscriber classes extracted, a novel two-level hybrid channel allocation approach is proposed that makes use of a Mixed Integer Linear Programming (MILP) model to consider the optimisation of radio resources in a mobile network. In the proposed model, two levels of channel allocation are considered: the first considers defining a fixed threshold of channels allocated to each cell in the network. The second level considers a dynamic channel allocation model to account for the variations in traffic experienced in each traffic class identified. Using the optimisation solver, CPLEX, it is shown that an optimal solution can be achieved with the proposed two-level hybrid allocation model
Nguyen, Trung Kiên. "Seafloor classification with a multi-swath multi-beam echo sounder." Thesis, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2017. http://www.theses.fr/2017IMTA0035/document.
Full textThis thesis, co-directed by Jean-Marc Boucher and Ronan Fablet (IMT Atlantique) and co-supervised by Didier Charlot (iXBlue), Gilles Le Chenadec and Michel Legris (ENSTA Bretagne), was realized in the context of a convention CIFRE with the company iXBlue.iXblue develops and commercializes a multibeam echosounder (MBES) SEAPIX primarily dedicated to the fishery market. The system is optimized to offer the best compromise between performances capabilities and cost. In addition to the classical characteristics of an MBES, it offers the unique feature of scanning the seafloor (and the water column volume) by electronical beamform multiple the emission swaths from port to starboard, as well as from forward to backward. The objective of the thesis is to study the contribution of these new multi-swath capacities in the analysis and classification of the seafloor.The first part of the work consisted in carrying out a detailed analysis of the measurement chain. This study evaluated the consistency in acquiring the backscattering strength from different insonification modes. The second part investigated the discriminant characteristics of the backscattered signal while taking into account the acquisition geometry of each insonification mode. The last stage of the work involved to methods of fusing the acquired data. This study was carried out in two approaches; the first considers data from the same insonification mode (intra-mode) and the second from different modes (inter-mode), for the seafloor classification. The obtained experimental results highlight the interest of the proposed processing chain and a multi-mode architecture on the real datasets
Books on the topic "Gestione feature"
Web Content Management: Systems, Features, and Best Practices. O'Reilly Media, 2016.
Find full textBarker, Deane. Web Content Management: Systems, Features, and Best Practices. O'Reilly Media, Incorporated, 2016.
Find full text(Editor), Huan Liu, and Hiroshi Motoda (Editor), eds. Computational Methods of Feature Selection (Chapman & Hall/Crc Data Mining and Knowledge Discovery Series). Chapman & Hall/CRC, 2007.
Find full textLi, Patrick. JIRA Essentials - Third Edition: Use the Features of JIRA to Manage Projects and Effectively Handle Bugs and Software Issues. Packt Publishing, Limited, 2015.
Find full textMicrosoft Power BI Complete Reference: Bring your data to life with the powerful features of Microsoft Power BI. Packt Publishing, 2018.
Find full textBook chapters on the topic "Gestione feature"
Chistyakova, Guzel, Lyudmila Ustyantseva, Irina Remizova, Vladislav Ryumin, and Svetlana Bychkova. "CHARACTERISTICS OF CONNECTED AND ADAPTIVE IMMUNITY OF CHILDREN WITH EXTREMELY LOW BODY WEIGHT OF DIFFERENT GESTIONAL AGE." In CHILDREN WITH EXTREMELY LOW BODY WEIGHT: CLINICAL CHARACTERISTICS, FUNCTIONAL STATE OF THE IMMUNE SYSTEM, PATHOGENETIC MECHANISMS OF THE FORMATION OF NEONATAL PATHOLOGY, 47–77. au: AUS PUBLISHERS, 2022. http://dx.doi.org/10.26526/chapter_62061e70deca75.92242970.
Full textConference papers on the topic "Gestione feature"
Cabrera, Juan E., and Jacques Teller. "Agua, poder y territorio: estrategias locales de gestión urbana." In Seminario Internacional de Investigación en Urbanismo. Barcelona: Instituto de Arte Americano. Universidad de Buenos Aires, 2013. http://dx.doi.org/10.5821/siiu.5943.
Full textArizaga, Ximena. "Santiago de Chile, renovación urbana 1910-2010: como la emergencia de ambientes da cuenta de este siglo." In Seminario Internacional de Investigación en Urbanismo. Barcelona: Instituto de Arte Americano. Universidad de Buenos Aires, 2013. http://dx.doi.org/10.5821/siiu.5941.
Full textMartínez de San Vicente, Isabel, Mirta Soijet, Ana Cicchini, and Graciela Baglione. "Patrimonio rural y paisaje: los espacios de transición urbano-rural, un llamado de atención." In Seminario Internacional de Investigación en Urbanismo. Barcelona: Facultad de Arquitectura. Universidad de la República, 2015. http://dx.doi.org/10.5821/siiu.6180.
Full textArnaiz Eguren, Ignacio. "Planeamiento digital, la primera pieza de una ciudad virtual de mantenimiento distribuido." In International Conference Virtual City and Territory. Barcelona: Centre de Política de Sòl i Valoracions, 2009. http://dx.doi.org/10.5821/ctv.7581.
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