Boosting the automated Information Processing for Reconnaissance

Refiz Duro; Medina Andresel; Christoph Singewald; Veronika Siska; Axel Weißenfeld; Drazen Ignjatovic

doi:10.1109/TechDefense59795.2023.10380937

Boosting the automated Information Processing for Reconnaissance

Refiz Duro (Vortragende:r)
, Medina Andresel
, Christoph Singewald
, Veronika Siska
, Axel Weißenfeld
, Drazen Ignjatovic

Syncpoint GmbH

Publikation: Beitrag in Buch oder Tagungsband › Vortrag mit Beitrag in Tagungsband › Begutachtung

Abstract

The emerging complexities due to an increasing availability of data sources and advanced technologies for data and information processing in the defense sector require careful considerations. In this study, we looked at the different aspects related to the exploitation of the advancing technologies for the reconnaissance operations. Specifically, system architecture, data fusion, human in the loop and knowledge modeling are explored, with an exemplary case of Large Language Models (LLM) on reconnaissance data is shown.

Originalsprache	Englisch
Titel	2023 IEEE International Workshop on Technologies for Defense and Security (TechDefense)
Seiten	214-219
Seitenumfang	6
ISBN (elektronisch)	979-8-3503-1939-2, 979-8-3503-1938-5
DOIs	https://doi.org/10.1109/TechDefense59795.2023.10380937
Publikationsstatus	Veröffentlicht - 2023
Veranstaltung	2023 IEEE International Workshop on Technologies for Defense and Security - Rome Casa Dell'Aviatore, Rome, Italien Dauer: 20 Nov. 2023 → 22 Nov. 2023

Konferenz

Konferenz	2023 IEEE International Workshop on Technologies for Defense and Security
Land/Gebiet	Italien
Stadt	Rome
Zeitraum	20/11/23 → 22/11/23

Research Field

Ehemaliges Research Field - Data Science
Ehemaliges Research Field - Societal Resilience & Security

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10.1109/TechDefense59795.2023.10380937

https://ieeexplore.ieee.org/document/10380937

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@inproceedings{b6cc57a5f2ea4393b42422296a1d98e7,

title = "Boosting the automated Information Processing for Reconnaissance",

abstract = "The emerging complexities due to an increasing availability of data sources and advanced technologies for data and information processing in the defense sector require careful considerations. In this study, we looked at the different aspects related to the exploitation of the advancing technologies for the reconnaissance operations. Specifically, system architecture, data fusion, human in the loop and knowledge modeling are explored, with an exemplary case of Large Language Models (LLM) on reconnaissance data is shown.",

author = "Refiz Duro and Medina Andresel and Christoph Singewald and Veronika Siska and Axel Wei{\ss}enfeld and Drazen Ignjatovic",

year = "2023",

doi = "10.1109/TechDefense59795.2023.10380937",

language = "English",

isbn = "979-8-3503-1940-8",

pages = "214--219",

booktitle = "2023 IEEE International Workshop on Technologies for Defense and Security (TechDefense)",

note = "2023 IEEE International Workshop on Technologies for Defense and Security ; Conference date: 20-11-2023 Through 22-11-2023",

}

Duro, R , Andresel, M, Singewald, C, Siska, V, Weißenfeld, A & Ignjatovic, D 2023, Boosting the automated Information Processing for Reconnaissance. in 2023 IEEE International Workshop on Technologies for Defense and Security (TechDefense). S. 214-219, 2023 IEEE International Workshop on Technologies for Defense and Security, Rome, Italien, 20/11/23. https://doi.org/10.1109/TechDefense59795.2023.10380937

TY - GEN

T1 - Boosting the automated Information Processing for Reconnaissance

AU - Andresel, Medina

AU - Singewald, Christoph

AU - Siska, Veronika

AU - Weißenfeld, Axel

AU - Ignjatovic, Drazen

A2 - Duro, Refiz

PY - 2023

Y1 - 2023

N2 - The emerging complexities due to an increasing availability of data sources and advanced technologies for data and information processing in the defense sector require careful considerations. In this study, we looked at the different aspects related to the exploitation of the advancing technologies for the reconnaissance operations. Specifically, system architecture, data fusion, human in the loop and knowledge modeling are explored, with an exemplary case of Large Language Models (LLM) on reconnaissance data is shown.

AB - The emerging complexities due to an increasing availability of data sources and advanced technologies for data and information processing in the defense sector require careful considerations. In this study, we looked at the different aspects related to the exploitation of the advancing technologies for the reconnaissance operations. Specifically, system architecture, data fusion, human in the loop and knowledge modeling are explored, with an exemplary case of Large Language Models (LLM) on reconnaissance data is shown.

U2 - 10.1109/TechDefense59795.2023.10380937

DO - 10.1109/TechDefense59795.2023.10380937

M3 - Conference Proceedings with Oral Presentation

SN - 979-8-3503-1940-8

SP - 214

EP - 219

BT - 2023 IEEE International Workshop on Technologies for Defense and Security (TechDefense)

T2 - 2023 IEEE International Workshop on Technologies for Defense and Security

Y2 - 20 November 2023 through 22 November 2023

ER -

Boosting the automated Information Processing for Reconnaissance

Abstract

Konferenz

Research Field

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