Abstract
This PDF file contains the front matter associated with SPIE Proceedings Volume 12538, including the Title Page, Copyright information, Table of Contents and Conference Committee lists.

The papers in this volume were part of the technical conference cited on the cover and title page. Papers were selected and subject to review by the editors and conference program committee. Some conference presentations may not be available for publication. Additional papers and presentation recordings may be available online in the SPIE Digital Library at SPIEDigitalLibrary.org.

The papers reflect the work and thoughts of the authors and are published herein as submitted. The publisher is not responsible for the validity of the information or for any outcomes resulting from reliance thereon.

Please use the following format to cite material from these proceedings:

Author(s), “Title of Paper,” in Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications V, edited by Latasha Solomon, Peter J. Schwartz, Proc. of SPIE 12538, Seven-digit Article CID Number (DD/MM/YYYY); (DOI URL).

ISSN: 0277-786X

ISSN: 1996-756X (electronic)

ISBN: 9781510661929

ISBN: 9781510661936 (electronic)

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  • The first five digits correspond to the SPIE volume number.

  • The last two digits indicate publication order within the volume using a Base 36 numbering system employing both numerals and letters. These two-number sets start with 00, 01, 02, 03, 04, 05, 06, 07, 08, 09, 0A, 0B … 0Z, followed by 10-1Z, 20-2Z, etc. The CID Number appears on each page of the manuscript.

Conference Committee

Symposium Chairs

  • Tien Pham, The MITRE Corporation (United States)

  • Douglas R. Droege, L3Harris Technologies, Inc. (United States)

Symposium Co-chairs

  • Augustus W. Fountain III, University of South Carolina (United States)

  • Teresa L. Pace, L3Harris Technologies, Inc. (United States)

Program Track Chair

  • Latasha Solomon, DEVCOM Army Research Laboratory (United States)

Conference Chairs

  • Latasha Solomon, DEVCOM Army Research Laboratory (United States)

  • Peter J. Schwartz, The MITRE Corporation (United States)

Conference Co-chairs

  • Myron E. Hohil, DEVCOM - Armaments Center (United States)

  • Ravi Ravichandran, BAE Systems (United States)

Conference Program Committee

  • Tarek Abdelzaher, University of Illinois (United States)

  • Nathaniel Bastian, U.S. Military Academy (United States)

  • Jemin George, DEVCOM Army Research Laboratory (United States)

  • Brayden Hollis, Air Force Research Laboratory (United States)

  • Jeffrey Hudack, Air Force Research Laboratory (United States)

  • Patrick Martin, Virginia Commonwealth University (United States)

  • Oscar Munoz, DEVCOM Army Research Laboratory (United States)

  • Tien Pham, The MITRE Corporation (United States)

  • Alun D. Preece, Cardiff University (United Kingdom)

  • Katie Rainey, Naval Information Warfare Center Pacific (United States)

  • Christopher R. Ratto, Johns Hopkins University Applied Physics Laboratory, LLC (United States)

  • Danda B. Rawat, Howard University (United States)

  • Kelly K. D. Risko, U.S. Army Aviation and Missile Command (France)

  • Bruce Swett, Northrop Grumman Corporation (United States)

  • Gautam K. Vallabha, Johns Hopkins University Applied Physics Laboratory, LLC (United States)

  • Michael Wolmetz, Johns Hopkins University Applied Physics Laboratory, LLC (United States)

Conference Review Committee

  • Ryan A. Elwell, DEVCOM C5ISR (United States)

  • Vincent J. Velten, Air Force Research Laboratory (United States)

  • Hoa G. Nguyen, Office of Naval Research Global (Japan)

  • Tiffany Raber, U.S. Army Combat Capabilities Development Command (United States)

  • Justine P. Rawal, U.S. Army Research Laboratory (United States)

© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
"Front Matter: Volume 12538", Proc. SPIE 12538, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications V, 1253801 (23 June 2023); https://doi.org/10.1117/12.2689952
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KEYWORDS
Machine learning

Adversarial training

Artificial intelligence

Analytical research

Army

Data communications

Data modeling

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