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Natural language description for abstract scenarios for automated driving systems. Specification
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ETSI GS NGP 002 V 1.1.1
Next Generation Protocols (NGP) – Self-Organizing Control and Management Planes
This work item focuses on making network self-organizing, both control plane and management plane. The self-organizing characteristics include self-configuration, self-optimization,…
ETSI GR NFV-IFA 012 V 3.1.1
Network Functions Virtualisation (NFV) Release 3 – Management and Orchestration – Report on Os-Ma-Nfvo reference point – application and service management use cases and recommendations
This work item will entail work to specify the use cases and the corresponding recommendations that will guide the evolution…
ETSI TS 103194 V 1.1.1
Network Technologies (NTECH) – Autonomic network engineering for the self-managing Future Internet (AFI) – Scenarios, Use Cases and Requirements for Autonomic/Self-Managing Future Internet
Transformation of ETSI GS AFI 001: Scenarios, Use Cases and Requirements for Autonomic/Self-Managing Future Internet, to a Technical Specification (TS),…
In collaboration with the private and public sectors, NIST has developed a framework to better manage risks to individuals, organizations,…
ISO 16300-3
BSI Flex 1889 v1.0:2022-07
Natural language description for abstract scenarios for automated driving systems. Specification
What does BSI Flex 1889 cover? BSI Flex 1889 v1.0 specifies requirements for a structured natural language format for test…
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Recommendation ITU-T Y.3176 provides high-level requirements and the architecture for integrating machine learning (ML) marketplaces in future networks including IMT-2020.…
Expert systems are a wave of the information processing future. As time goes on they will become more and more…
PAS 1085:2018 from BSI
Manufacturing. Establishing and implementing a security-minded approach. Specification
This PAS specifies requirements for the security-minded management of manufacturing organizations and the associated value chain utilizing information, digital technologies…
Recommendation ITU-T P.565 provides the output of the framework which is a machine learning based speech quality prediction model that…
ITU-T Y.3180
Mechanism of traffic awareness for application-descriptor-agnostic traffic based on machine learning
Recommendation ITU-T Y.3180 specifies the mechanism of traffic awareness for application_x005F descriptor-agnostic traffic based on machine learning. This Recommendation specifies…
