0000000000811020

AUTHOR

Francisco Verdejo

0000-0003-4624-1478

showing 4 related works from this author

Optimizing the level of service quality of a bike-sharing system

2016

Public bike-sharing programs have been deployed in hundreds of cities worldwide, improving mobility in a socially equitable and environmentally sustainable way. However, the quality of the service is drastically affected by imbalances in the distribution of bicycles among stations. We address this problem in two stages. First, we estimate the unsatisfied demand (lack of free lockers or lack of bicycles) at each station for a given time period in the future and for each possible number of bicycles at the beginning of the period. In a second stage, we use these estimates to guide our redistribution algorithms. Computational results using real data from the bike-sharing system in Palma de Mall…

Information Systems and ManagementOperations researchStrategy and Managementmedia_common.quotation_subject0211 other engineering and technologiesDistribution (economics)02 engineering and technologyManagement Science and Operations Researchhttp://aims.fao.org/aos/agrovoc/c_63329Transport engineeringhttp://aims.fao.org/aos/agrovoc/c_3041http://aims.fao.org/aos/agrovoc/c_7524http://aims.fao.org/aos/agrovoc/c_353320502 economics and businessserviceQuality (business)media_common050210 logistics & transportation021103 operations researchU10 - Informatique mathématiques et statistiquesLevel of servicebusiness.industry05 social sciencesRedistribution (cultural anthropology)Demand forecastingtechnique de prévisionhttp://aims.fao.org/aos/agrovoc/c_9000074BicyclettesOffre et demandehttp://aims.fao.org/aos/agrovoc/c_dda00d10Développement durableService (economics)http://aims.fao.org/aos/agrovoc/c_6989http://aims.fao.org/aos/agrovoc/c_7273Bike sharingapproches communautairesBusinessHeuristicsOmega
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FluDetWeb: an interactive web-based system for the early detection of the onset of influenza epidemics

2009

Abstract Background The early identification of influenza outbreaks has became a priority in public health practice. A large variety of statistical algorithms for the automated monitoring of influenza surveillance have been proposed, but most of them require not only a lot of computational effort but also operation of sometimes not-so-friendly software. Results In this paper, we introduce FluDetWeb, an implementation of a prospective influenza surveillance methodology based on a client-server architecture with a thin (web-based) client application design. Users can introduce and edit their own data consisting of a series of weekly influenza incidence rates. The system returns the probabilit…

Web serverComputer sciencePosterior probabilityHealth Informaticscomputer.software_genrelcsh:Computer applications to medicine. Medical informaticsHealth informaticsDisease OutbreaksWorld Wide WebUser-Computer InterfaceSoftwareComputer SystemsInfluenza HumanHumansWeb applicationInternetbusiness.industryHealth PolicyUsabilityUnited StatesComputer Science ApplicationsIdentification (information)Population Surveillancelcsh:R858-859.7The InternetSoftware engineeringbusinesscomputerSoftwareBMC Medical Informatics and Decision Making
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A probabilistic expert system for predicting the risk of Legionella in evaporative installations

2011

Research highlights? The bacterium Legionella usually lives in water sources such as cooling towers. ? We discuss a probabilistic expert system for predicting the risk of Legionella. ? The expert system has a master-slave architecture. ? The inference engine is implemented through Bayesian reasoning. ? Bayesian networks model and connect relationships for chemical and physical variables. Early detection in water evaporative installations is one of the keys to fighting against the bacterium Legionella, the main cause of Legionnaire's disease. This paper discusses the general structure, elements and operation of a probabilistic expert system capable of predicting the risk of Legionella in rea…

Structure (mathematical logic)Computer sciencebusiness.industryGeneral EngineeringProbabilistic logicBayesian networkMarkov chain Monte CarloBayesian inferenceMachine learningcomputer.software_genreExpert systemComputer Science Applicationssymbols.namesakeArtificial IntelligencesymbolsData miningArtificial intelligenceInference enginebusinesscomputerParametric statisticsExpert Systems with Applications
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Adicion al Memorial ajustado de los Autos que en grado de suplicación, y por caso de Corte sigue el Concejo, Justicia y Regimiento del lugar del Grao…

Signat a la fi per Lic. Francisco Verdejo [et al. Text amb postil·les marginals

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