dc.contributor.author |
Abbas, Sana
|
|
dc.contributor.author |
Ashraf, Faraha
|
|
dc.contributor.author |
Jarad, Fahd
|
|
dc.contributor.author |
Sardar, Muhammad Shoaib
|
|
dc.contributor.author |
Siddique, Imran
|
|
dc.date.accessioned |
2023-11-22T11:50:01Z |
|
dc.date.available |
2023-11-22T11:50:01Z |
|
dc.date.issued |
2023 |
|
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. |
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dc.identifier.issn |
1526-1492 |
|
dc.identifier.uri |
http://hdl.handle.net/20.500.12416/6560 |
|
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. |
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dc.language.iso |
eng |
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dc.relation.isversionof |
10.32604/cmes.2023.024700 |
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dc.rights |
info:eu-repo/semantics/openAccess |
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dc.subject |
Networkant Colony |
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dc.subject |
Algorithmpath |
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dc.subject |
Complete Graph |
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dc.subject |
Bblood Banks |
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dc.subject |
Drones |
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dc.subject |
Travelling Salesman Problem |
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dc.title |
A Drone-Based Blood Donation Approach Using an Ant Colony Optimization Algorithm |
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dc.type |
article |
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dc.relation.journal |
CMES-Computer Modeling In Engineering & Sciences |
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dc.contributor.authorID |
234808 |
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dc.identifier.volume |
136 |
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dc.identifier.issue |
2 |
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dc.identifier.startpage |
1917 |
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dc.identifier.endpage |
1930 |
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dc.contributor.department |
Çankaya Üniversitesi, Fen - Edebiyat Fakültesi, Matematik Bölümü |
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