ETSI SmartM2M; Artificial Intelligence and the oneM2M architecture
ETSI TR 103 674
https://portal.etsi.org/webapp/WorkProgram/Report_WorkItem.asp?WKI_ID=57866
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ETSI SmartM2M AI for IoT: A Proof of Concept; PoC AI4IoT
ETSI TR 103 675
https://portal.etsi.org/webapp/WorkProgram/Report_WorkItem.asp?WKI_ID=57867
ETSI SAREF Smart Applications Reference Ontology
ETSI TS 103 673
https://www.etsi.org/deliver/etsi_ts/103600_103699/103673/01.01.01_60/ts_103673v010101p.pdf
ETSI Autonomic network engineering for the self-managing Future Internet (AFI); Artificial Intelligence (AI) in Test Systems and Testing AI models. Artificial Intelligence (AI) in Test System
ETSI TR 103 821
https://portal.etsi.org/webapp/WorkProgram/Report_WorkItem.asp?WKI_ID=58442
ETSI EG 203 341 V1.1.1 (2016-10): Core Network and Interoperability Testing (INT); Approaches for Testing Adaptive Networks
ETSI EG 203 341 V1.1.1 (2016-10)
https://www.etsi.org/deliver/etsi_eg/203300_203399/203341/01.01.01_60/eg_203341v010101p.pdf
ETSI ENI GR 0011 Experiential Networked Intelligence (ENI); Definition of Categories for AI Application to Networks
ETSI ENI GR 0011
https://portal.etsi.org/webapp/WorkProgram/Report_WorkItem.asp?WKI_ID=56393
IEC 62243:2012 - Artificial Intelligence Exchange and Service Tie to All Test Environments (AI-ESTATE)
IEC 62243:2012
https://webstore.iec.ch/publication/6631
IEC 62998-3 Safety of Machinery Safety-related sensors used for the protection of persons, Part 3: Sensor technologies and algorithms
IEC 62998-3
https://www.iec.ch/dyn/www/f?p=103:38:5323459375518::::FSP_ORG_ID,FSP_APEX_PAGE,FSP_PROJECT_ID:1302,23,103851
IEEE P2846 - Assumptions for Models in Safety-Related Automated Vehicle Behavior
IEEE P2846
https://standards.ieee.org/project/2846.html
IEEE P2805.3 - Cloud-Edge Collaboration Protocols for Machine Learning
IEEE P2805.3
https://standards.ieee.org/project/2805_3.html
IEEE P7008 - Standard for Ethically Driven Nudging for Robotic, Intelligent and Autonomous Systems
IEEE P7008
https://standards.ieee.org/project/7008.html
Information technology– Big data reference architecture– Part1: Framework and appli-cation process
This document describes the framework of the big data reference architecture and the process for how a user of the document can apply it to their particular problem domain.
ISO/IEC TR 20547-1:2020
https://www.iso.org/standard/71275.html