Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11779/2403
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Drias, Yassine | - |
dc.contributor.author | Drias, Habiba | - |
dc.date.accessioned | 2024-11-05T19:50:45Z | - |
dc.date.available | 2024-11-05T19:50:45Z | - |
dc.date.issued | 2024 | - |
dc.identifier.citation | Drias, Y., & Drias, H. (2024, July). Fuzzy Elephant Herding Optimization and DBSCAN for Emergency Transportation: A Case Study for the 2023 Türkiye Earthquake. In International Conference on Intelligent and Fuzzy Systems (pp. 403-410). Cham: Springer Nature Switzerland. | en_US |
dc.identifier.isbn | 978-303167194-4 | - |
dc.identifier.issn | 2367-3370 | - |
dc.identifier.uri | https://doi.org/10.1007/978-3-031-67195-1_47 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.11779/2403 | - |
dc.description.abstract | In recent times, our planet has experienced numerous natural disasters across all continents. The damage caused by these disasters has been so extensive that Emergency Medical Services (EMS) proved incapable of handling the situation. In this article, we present a novel approach for urgent disaster transport with the aim of minimizing loss of life. In this context, we are investigating the Density-Based Spatial Clustering of Applications with Noise algorithm (DBSCAN) to cluster the large geographic zone affected by the 2023 earthquake in Türkiye. The clustering is done based on hospitals’ capacity on one hand and damages on the other hand. The ambulance dispatching task is then tackled using a new fuzzy version of Elephant Herding Optimization called FEHO. This approach addresses the challenge of dispatching ambulances to cover emergency locations effectively and optimally in the clustered regions. Experiments conducted on real data demonstrate the effectiveness of our approach in managing emergency transportation and highlight its potential to minimize the number of casualties. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Springer Science and Business Media Deutschland GmbH | en_US |
dc.relation.ispartof | Lecture Notes in Networks and Systems -- International Conference on Intelligent and Fuzzy Systems, INFUS 2024 -- 16 July 2024 through 18 July 2024 -- Canakkale -- 318029 | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Ambulance Dispatching | en_US |
dc.subject | DBSCAN | en_US |
dc.subject | Emergency Transportation | en_US |
dc.subject | Fuzzy Elephant Herding Optimization | en_US |
dc.title | Fuzzy Elephant Herding Optimization and Dbscan for Emergency Transportation: a Case Study for the 2023 Türkiye Earthquake | en_US |
dc.type | Conference Object | en_US |
dc.identifier.doi | 10.1007/978-3-031-67195-1_47 | - |
dc.identifier.scopus | 2-s2.0-85207010616 | en_US |
dc.authorscopusid | 56440023300 | - |
dc.authorscopusid | 11538926200 | - |
dc.identifier.wosquality | N/A | - |
dc.identifier.scopusquality | Q4 | - |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.identifier.endpage | 410 | en_US |
dc.identifier.startpage | 403 | en_US |
dc.identifier.volume | 1089 LNNS | en_US |
dc.department | “MEF University” | en_US |
dc.department | Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü | en_US |
dc.institutionauthor | Drias, Yassine | - |
item.fulltext | No Fulltext | - |
item.openairetype | Conference Object | - |
item.cerifentitytype | Publications | - |
item.grantfulltext | none | - |
item.languageiso639-1 | en | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
crisitem.author.dept | 02.02. Department of Computer Engineering | - |
Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection |
CORE Recommender
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.