Analyse der Entwicklungstreiber militรคrischer Schwarmdrohnen durch Natural Language Processing
November 15, 2022 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Manuel Mundt
arXiv ID
2211.09680
Category
cs.CL: Computation & Language
Cross-listed
cs.LG,
cs.RO
Citations
0
Venue
arXiv.org
Last Checked
6 months ago
Abstract
Military drones are taking an increasingly prominent role in armed conflict, and the use of multiple drones in a swarm can be useful. Who the drivers of the research are and what sub-domains exist is analyzed and visually presented in this research using NLP techniques based on 946 studies. Most research is conducted in the Western world, led by the United States, the United Kingdom, and Germany. Through Tf-idf scoring, it is shown that countries have significant differences in the subdomains studied. Overall, 2019 and 2020 saw the most works published, with significant interest in military swarm drones as early as 2008. This study provides a first glimpse into research in this area and prompts further investigation.
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