Analyse der Entwicklungstreiber militรคrischer Schwarmdrohnen durch Natural Language Processing

November 15, 2022 ยท Declared Dead ยท ๐Ÿ› arXiv.org

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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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