Employing in-context learning prompts with large language models for drone routing in delivery services.

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Bibliographic Details
Title: Employing in-context learning prompts with large language models for drone routing in delivery services.
Authors: Masoud M; Department of Information Systems & Operations Management, King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia.; Center for Smart Mobility and Logistics, King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia., Elhenawy M; Centre for Accident Research and Road Safety-Queensland, Queensland University of Technology, Kelvin Grove, Queensland, Australia., Abdelhay A; Department of Computer Engineering, Minia University, Minia, Egypt.
Source: PloS one [PLoS One] 2026 Mar 27; Vol. 21 (3), pp. e0321917. Date of Electronic Publication: 2026 Mar 27 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1932-6203
DOI:10.1371/journal.pone.0321917