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Diversification, networks and the survival of exporting firms
(Universidad de los Andes, Facultad de Economía, CEDE, 2011)
There is abundant empirical evidence testing models where comparative advantage arises from firm heterogeneity. As of today it is relatively clear who exports and why a firm decides to export. But, what determines the ...
Mining multivariate time-series for anomaly detection in mobile networks on the usage of variational auto encoders and dilated convolutions
(ACM, 2022)
The automatic detection of anomalies in communication networks plays a central role in network management. Despite the many attempts and approaches for anomaly detection explored in the past, the detection of rare events ...
Hybrid model generation for superstructure optimization with Generalized Disjunctive Programming
(Pergamon-Elsevier Science Ltd, 2021-11)
We propose a novel iterative procedure to generate hybrid models (HMs) within an optimization framework to solve design problems. HMs are based on first principle and surrogate models (SMs) and they may represent potential ...
Efficient reduction in the annual investment costs in ac distribution networks via optimal integration of solar pv sources using the newton metaheuristic algorithm
(Cartagena de Indias, 2021-12-05)
This research addresses the problem of the optimal placement and sizing of (PV) sources
in medium voltage distribution grids through the application of the recently developed Newtonmetaheuristic optimization algorithm ...
Efficient Integration of PV Sources in Distribution Networks to Reduce Annual Investment and Operating Costs Using the Modified Arithmetic Optimization Algorithm
(Cartagena de Indias, 2022)
The optimal integration of photovoltaic generation systems is a challenge for distribution utilities since these devices have a direct impact on company finances due to the large amount of investment required at the beginning ...
Deep Boltzmann machines using adaptive temperatures
(2017-01-01)
Deep learning has been considered a hallmark in a number of applications recently. Among those techniques, the ones based on Restricted Boltzmann Machines have attracted a considerable attention, since they are energy-driven ...
Modelo de dados de uma base de conhecimento para Internet Early Warning Systems
(Universidade Federal de Santa MariaBRCiência da ComputaçãoUFSMPrograma de Pós-Graduação em Informática, 2013-03-04)
The popularization of the Internet has provided an increase in the number of web applications
that work with critical information. Parallel to this, attacks that exploit the vulnerabilities
of these applications has also ...
Development and use of a cytoscape app for GRNCOP2
(Elsevier Ireland, 2019-08-04)
Background and Objective: Gene regulatory networks (GRNs) are essential for understanding most molecular processes. In this context, the so-called model-free approaches have an advantage modeling the complex topologies ...
Emprendimiento Corporativo: Un Análisis desde el Emprendimiento Estratégico y su Efecto sobre la Innovación Organizacional
(Universidad Nacional de ColombiaManizales - Ingeniería y Arquitectura - Doctorado en Ingeniería - Industria y OrganizacionesFacultad de Ingeniería y ArquitecturaManizalesUniversidad Nacional de Colombia - Sede Manizales, 2020)
En la gerencia contemporánea, el emprendimiento corporativo, desde la perspectiva del emprendimiento estratégico, entendiéndose este último como el balance entre las competencias de exploración y de explotación, emerge ...
Analysis of insurance claims data based on networks
(Bogotá - Ciencias - Maestría en Ciencias - EstadísticaDepartamento de EstadísticaUniversidad Nacional de Colombia - Sede Bogotá, 2020-07-31)
Este trabajo propone una metodología estadística para el aprendizaje de codificaciones relacionales de variables influyentes de alta cardinalidad para clasificación binaria supervisada. La codificación clasifica las ...