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Guideline for the develop-ment of deep learning image recognition systems

Procedure for data collection, structuring of data for learn-ing AI image recognition, process structure of learning experiments and quality assurance

Landscape of Artificial Intelligence Standards
Artificial Intelligence
iiRDS
Standard
DIN SPEC 13266
https://www.dke.de/resource/blob/2017010/99bc6d952073ca88f52c0ae4a8c351a8/nr-ki-english---download-data.pdf

Artificial Intelligence– Life Cycle Processes and Quality Requirements– Part2: Robustness

AI-specific requirements with regard to robustness, espe-cially regarding adversarial robustness and corruption robustness

Landscape of Artificial Intelligence Standards
Artificial Intelligence
iiRDS
Standard
DIN SPEC 92001-2
https://www.dke.de/resource/blob/2017010/99bc6d952073ca88f52c0ae4a8c351a8/nr-ki-english---download-data.pdf

HL7 Version 3 Standard: Refinement, Constraint and Localization to Version 3 Messages, Release 2

This HL7 Version 3 (V3) standard describes the processes whereby HL7 V3 artifact specifications may be refined, constrained and extended to support implementation designs, conformance profiles, and realm-specific standards.

E-Health
HL7
Standard
ANSI/HL7 V3 RCL, R2-2007 (R2020)

Y.ML-IMT2020-NA-RAFR - Architecture framework of AI-based network automation for resource adaptation and failure recovery for future networks including IMT-2020

Landscape of Artificial Intelligence Standards
Artificial Intelligence
ITU
Standard
Y.ML-IMT2020-NA-RAFR
https://www.itu.int/itu-t/workprog/wp_item.aspx?isn=16343
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