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Recommendation ITU-T P.1402 introduces machine-learning techniques and their application for quality of service (QoS) and quality of experience (QoE) prediction…
Share your thoughts on this standard with the AI Standards Hub community here.
Share your thoughts on this standard with the AI Standards Hub community here.
Share your thoughts on this standard with the AI Standards Hub community here.
Recommendation ITU-T Y.3156 describes the requirements and functional roles of AI-assisted analysis in support of the lifecycle management and orchestration…
ITU-T Y.3175
Functional architecture of machine learning-based quality of service assurance for the IMT-2020 network
This Recommendation specifies a functional architecture of quality of service (QoS) assurance based on machine learning (ML) for the international…
This Recommendation specifies a functional framework for network service provisioning based on artificial intelligence (AI) in future networks, including international…
ISO 19157:2013
BS EN ISO 19157-1
Geographic information. Data quality. Part 1. General requirements
Recommendation ITU-T Y.4471 defines a reference functional architecture of network-based driving assistance (NDA) for autonomous vehicles. It clarifies the concept…
Share your thoughts on this standard with the AI Standards Hub community here.
This Recommendation1 specifies a framework in the form of constraints, performance criteria and methods for the development of intrusive parametric,…
Recommendation ITU-T Y.3173 specifies a framework for evaluating the intelligence of future networks including IMT-2020 and a method for evaluating…
