DC FieldValueLanguage
dc.contributor.authorAnagnostopoulos, Theodoros-
dc.contributor.authorXanthopoulos, Theodoros-
dc.contributor.authorPsaromiligkos, Ioannis (Yannis)-
dc.date.accessioned2024-03-28T09:30:57Z-
dc.date.available2024-03-28T09:30:57Z-
dc.date.issued2020-07-02-
dc.identifierscopus-85088037541-
dc.identifier.issn1424-8220-
dc.identifier.other85088037541-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/1644-
dc.description.abstractResource allocation of the availability of certain departments for dealing with emergency recovery is of high importance in municipalities. Efficient planning for facing possible disasters in the coverage area of a municipality provides reassurance for citizens. Citizens can assist with such malfunctions by acting as human sensors at the edge of an infrastructure to provide instant feedback to the appropriate departments fixing the problems. However, municipalities have limited department resources to handle upcoming emergency events. In this study, we propose a smartphone crowdsensing system that is based on citizens’ reactions as human sensors at the edge of a municipality infrastructure to supplement malfunctions exploiting environmental crowdsourcing location-allocation capabilities. A long short-term memory (LSTM) neural network is incorporated to learn the occurrence of such emergencies. The LSTM is able to stochastically predict future emergency situations, acting as an early warning component of the system. Such a mechanism may be used to provide adequate department resource allocation to treat future emergencies.en_US
dc.language.isoenen_US
dc.relation.ispartofSensorsen_US
dc.subjectDepartment resource allocationen_US
dc.subjectEdge mobile applicationsen_US
dc.subjectEnvironmental crowdsourcingen_US
dc.subjectLSTMen_US
dc.subjectMunicipalityen_US
dc.subjectSmartphone crowdsensingen_US
dc.subjectStochastic predictionen_US
dc.titleA smartphone crowdsensing system enabling environmental crowdsourcing for municipality resource allocation with lstm stochastic predictionen_US
dc.typeArticleen_US
dc.identifier.doi10.3390/s20143966en_US
dc.identifier.scopus2-s2.0-85088037541-
dcterms.accessRights1en_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.relation.volume20en_US
dc.relation.issue14en_US
dc.identifier.spage1en_US
dc.identifier.epage20en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.journalsOpen Accessen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusverifieden_US
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairetypeArticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
item.grantfulltextnone-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.orcid0000-0002-5587-2848-
crisitem.author.orcid0000-0002-8420-8663-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
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