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Sara Al-Sayed

Dados Biográficos

ID9956676
NOMESara Al-Sayed
PRENOMESSara
SOBRENOMEAl-Sayed
ASSINATURAAL-SAYED S
AFILIAÇÕESUnion of Concerned Scientists
ORCID0000-0002-7026-5413
VERIFICADOSim
TOTAL DE OBRAS1
TOTAL DE CITAÇÕES0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2026
ANO MAIS RECENTE DE PUBLICAÇÃO2026
ÍNDICE H0
  • Machine-Learning/Artificial-Intelligence—facilitated satellite imagery analysis for trustworthy arms control verification

    Open Access•Sara Al-Sayed•ARTICLE•Zeitschrift für Friedens- und…•2026

    With the unraveling of the arms control architecture and diminished prospects for nuclear weapons agreements between the U.S. and Russia and China, there are increased risks from worst-case assumptions, and opportunities to build mutual trust are eroding. In this context, satellite remote sensing is expected to become a vital tool for assessing nuclear forces and postures. Today’s satellite systems generate vast amounts of data that is accessible…

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  • Machine-Learning/Artificial-Intelligence—facilitated satellite imagery analysis for trustworthy arms control verification

    Open Access•Sara Al-Sayed•ARTICLE•Zeitschrift für Friedens- und…•2026

    With the unraveling of the arms control architecture and diminished prospects for nuclear weapons agreements between the U.S. and Russia and China, there are increased risks from worst-case assumptions, and opportunities to build mutual trust are eroding. In this context, satellite remote sensing is expected to become a vital tool for assessing nuclear forces and postures. Today’s satellite systems generate vast amounts of data that is accessible…

Arms control (1 obras) · Command and control (1 obras) · Cybersecurity and Cyber Warfare Studies (1 obras) · Nuclear Issues and Defense (1 obras) · Satellite (1 obras) · Space exploration and regulation (1 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae