A Drone-Based Blood Donation Approach Using an Ant Colony Optimization Algorithm
| dc.contributor.author | Ashraf, Faraha | |
| dc.contributor.author | Jarad, Fahd | |
| dc.contributor.author | Sardar, Muhammad Shoaib | |
| dc.contributor.author | Siddique, Imran | |
| dc.contributor.author | Abbas, Sana | |
| dc.contributor.authorID | 234808 | tr_TR |
| dc.contributor.other | 02.02. Matematik | |
| dc.contributor.other | 02. Fen-Edebiyat Fakültesi | |
| dc.contributor.other | 01. Çankaya Üniversitesi | |
| dc.date.accessioned | 2023-11-22T11:50:01Z | |
| dc.date.accessioned | 2025-09-18T15:43:56Z | |
| dc.date.available | 2023-11-22T11:50:01Z | |
| dc.date.available | 2025-09-18T15:43:56Z | |
| dc.date.issued | 2023 | |
| dc.description | Shoaib Sardar, Muhammad/0000-0001-7146-5639 | en_US |
| dc.description.abstract | This article presents an optimized approach of mathematical techniques in the medical domain by manoeuvring the phenomenon of ant colony optimization algorithm (also known as ACO). A complete graph of blood banks and a path that covers all the blood banks without repeating any link is required by applying the Travelling Salesman Problem (often TSP). The wide use promises to accelerate and offers the opportunity to cultivate health care, particularly in remote or unmerited environments by shrinking lab testing reversal times, empowering just-in-time lifesaving medical supply. | en_US |
| dc.identifier.citation | Abbas, Sana...et al. (2023). "A Drone-Based Blood Donation Approach Using an Ant Colony Optimization Algorithm", CMES-Computer Modeling In Engineering & Sciences, Vol. 136, No. 2, pp.1917-1930. | en_US |
| dc.identifier.doi | 10.32604/cmes.2023.024700 | |
| dc.identifier.issn | 1526-1492 | |
| dc.identifier.issn | 1526-1506 | |
| dc.identifier.scopus | 2-s2.0-85148288948 | |
| dc.identifier.uri | https://doi.org/10.32604/cmes.2023.024700 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12416/14071 | |
| dc.language.iso | en | en_US |
| dc.publisher | Tech Science Press | en_US |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.subject | Network | en_US |
| dc.subject | Ant Colony Algorithm | en_US |
| dc.subject | Path | en_US |
| dc.subject | Complete Graph | en_US |
| dc.subject | Blood Banks | en_US |
| dc.subject | Drones | en_US |
| dc.subject | Travelling Salesman Problem | en_US |
| dc.title | A Drone-Based Blood Donation Approach Using an Ant Colony Optimization Algorithm | en_US |
| dc.title | A Drone-Based Blood Donation Approach Using an Ant Colony Optimization Algorithm | tr_TR |
| dc.type | Article | en_US |
| dspace.entity.type | Publication | |
| gdc.author.id | Shoaib Sardar, Muhammad/0000-0001-7146-5639 | |
| gdc.author.institutional | Jarad, Fahd | |
| gdc.author.scopusid | 58106732300 | |
| gdc.author.scopusid | 59618046700 | |
| gdc.author.scopusid | 15622742900 | |
| gdc.author.scopusid | 57194872670 | |
| gdc.author.scopusid | 24436604100 | |
| gdc.author.wosid | Ashraf, Faraha/Aag-1315-2020 | |
| gdc.author.wosid | Siddique, Imran/Acg-3403-2022 | |
| gdc.author.wosid | Jarad, Fahd/T-8333-2018 | |
| gdc.author.wosid | Shoaib Sardar, Muhammad/Abb-3272-2020 | |
| gdc.description.department | Çankaya University | en_US |
| gdc.description.departmenttemp | [Abbas, Sana; Ashraf, Faraha; Sardar, Muhammad Shoaib] Minhaj Univ, Sch Math, Lahore 54770, Pakistan; [Jarad, Fahd] Cankaya Univ, Dept Math, TR-06790 Ankara, Turkiye; [Jarad, Fahd] China Med Univ, China Med Univ Hosp, Dept Med Res, Taichung 40402, Taiwan; [Siddique, Imran] Univ Management & Technol, Dept Math, Lahore 54770, Pakistan | en_US |
| gdc.description.endpage | 1930 | en_US |
| gdc.description.issue | 2 | en_US |
| gdc.description.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| gdc.description.scopusquality | Q3 | |
| gdc.description.startpage | 1917 | en_US |
| gdc.description.volume | 136 | en_US |
| gdc.description.woscitationindex | Science Citation Index Expanded | |
| gdc.description.wosquality | Q2 | |
| gdc.identifier.openalex | W4319312275 | |
| gdc.identifier.wos | WOS:000950597500014 | |
| gdc.openalex.fwci | 2.31415655 | |
| gdc.openalex.normalizedpercentile | 0.86 | |
| gdc.opencitations.count | 1 | |
| gdc.plumx.crossrefcites | 1 | |
| gdc.plumx.mendeley | 14 | |
| gdc.plumx.scopuscites | 4 | |
| gdc.scopus.citedcount | 4 | |
| gdc.wos.citedcount | 3 | |
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