Articles: Envíos recientes
Mostrando ítems 1-20 de 361
A massive data processing approach for effective trustworthiness in online learning groups
This paper proposes a trustworthiness-based approach for the design of secure learning activities in online learning groups. Although computer-supported collaborative learning has been widely adopted in many educational ...
Se busca geobibliotecario: los datos geográficos entran en la biblioteca
The increased proliferation and accessibility of geographic data are changing the landscape of services based on geographic information. From the analysis of recent job offers posted in American university libraries, we ...
Combining simulation with a GRASP metaheuristic for solving the permutation flow-shop problem with stochastic processing times
Greedy Randomized Adaptive Search Procedures (GRASP) are among the most popular metaheuristics for the solution of combinatorial optimization problems. While GRASP is a relatively simple and efficient framework to deal ...
JSONDiscoverer: Visualizing the schema lurking behind JSON documents
The so-called API economy is pushing more and more companies to provide open Web APIs to access their data, typically using the JavaScript Object Notation (JSON) as interchange data format. While JSON has been designed to ...
A survey on financial applications of metaheuristics
Modern heuristics or metaheuristics are optimization algorithms that have been increasingly used during the last decades to support complex decision-making in a number of fields, such as logistics and transportation, ...
LaCOLLA: Middleware for Self-Sufficient Online Collaboration
The LaCOLLA middleware makes it possible for collaborators to interact using their own resources without depending on centralized regimes. By contributing their own resources, group members can organize and communicate ...
Smart bound selection for the verification of UML/OCL class diagrams
info:eu-repo/semantics/submittedVersion
Lean sensing: exploiting contextual information for most energy-efficient sensing
Cyber-physical technologies enable event-driven applications, which monitor in real-time the occurrence of certain inherently stochastic incidents. Those technologies are being widely deployed in cities around the world ...
Sistemas de información geográfica para unidades de información
The aim of the paper is to serve as a gateway to the world of geographic information systems (GIS), seen as technologies to support decision-making services in libraries and information units. Through the review of various ...
Care in the (critical) making. Open prototyping, or the radicalisation of independent-living politics
In this paper we reflect empirically on some collective attempts at intervening the ways in which care for and by disabled people is being devised and carried out in Spain in austerity times. We highlight the novelties and ...
Operations research and simulation in master's degrees: a case study regarding different universities in Spain
This paper presents several experiences regarding Operations Research (OR) and Simulation education activities in three master programs, each of them offered at a different university. The paper discusses the importance ...
Dynamic programming of flights based on stochastic demands
The definition of the flights schedule is one of the major planning activities that are carried out in an airline. The result of the definition of this schedule has implications that transcend the operational sphere and ...
Detection of classifier inconsistencies in image steganalysis
In this paper, a methodology to detect inconsistencies in classification-based image steganalysis is presented. The proposed approach uses two classifiers: the usual one, trained with a set formed by cover and stego images, ...
Learnheuristics: Hybridizing metaheuristics with machine learning for optimization with dynamic inputs
This paper reviews the existing literature on the combination of metaheuristics with machine learning methods and then introduces the concept of learnheuristics, a novel type of hybrid algorithms. Learnheuristics can be ...
Combining distributed queuing with energy harvesting to enable perpetual distributed data collection applications
This paper presents, models, and evaluates energy harvesting¿aware distributed queuing (EH-DQ), a novel medium access control protocol that combines distributed queuing with energy harvesting (EH) to address data collection ...
Crisis, ciudad y tecnología ¿una solución inteligente?
En un escenario de recesión económica y austeridad están emergiendo nuevas estrategias que pretenden repensar la ciudad a través de un urbanismo mediado tecnológicamente. Estrategias como la ciudad inteligente (Smart City) ...
A statistical learning based approach for parameter fine-tuning of metaheuristics
Metaheuristics are approximation methods used to solve combinatorial optimization problems. Their performance usually depends on a set of parameters that need to be adjusted. The selectionof appropriate parameter values ...
