International Archives - Page 20 of 59

Recommendation ITU-T P.1402 introduces machine-learning techniques and their application for quality of service (QoS) and quality of experience (QoE) prediction…

Published

Last Updated: 18 Jul 2024

ITU-T Y.3156

Framework of network slicing with AI-assisted analysis in IMT-2020 networks

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Vertical AI-specific Interoperability Security and resilience

System architecture Interface and architecture

Recommendation ITU-T Y.3156 describes the requirements and functional roles of AI-assisted analysis in support of the lifecycle management and orchestration…

Published

Last Updated: 18 Jul 2024

ITU-T Y.3175

Functional architecture of machine learning-based quality of service assurance for the IMT-2020 network

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Telecom and network-based services AI-specific System architecture Interface and architecture See more

This Recommendation specifies a functional architecture of quality of service (QoS) assurance based on machine learning (ML) for the international…

Published

Last Updated: 18 Jul 2024

ITU-T Y.3178

Functional framework of artificial intelligence-based network service provisioning in future networks including IMT-2020

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Telecom and network-based services AI-specific Interoperability System architecture

Interface and architecture Process, management and governance

This Recommendation specifies a functional framework for network service provisioning based on artificial intelligence (AI) in future networks, including international…

Published

Last Updated: 18 Jul 2024

ITU-T Y.4471

Functional architecture of network-based driving assistance for autonomous vehicles

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Transport and autonomous vehicles - Road vehicles AI-specific Data management Data processing

Interoperability Safety System architecture Robotics and autonomous systems Interface and architecture

Recommendation ITU-T Y.4471 defines a reference functional architecture of network-based driving assistance (NDA) for autonomous vehicles. It clarifies the concept…

Published

Last Updated: 18 Jul 2024

ISO/IEC 23053:2022 BS ISO/IEC 23053:2022

Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML)

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Horizontal AI-specific Data collection Data processing

Foundational and terminology

This document establishes an Artificial Intelligence (AI) and Machine Learning (ML) framework for describing a generic AI system using ML…

Published

Last Updated: 18 Jul 2024

ITU-T M.3080

Framework of artificial intelligence enhanced telecom operation and management (AITOM)

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Telecom and network-based services AI-specific Project management Security and resilience

System architecture System quality Interface and architecture Process, management and governance

This Recommendation provides a framework for artificial intelligence (AI) enhanced telecom operation and management (AITOM). It describes the functional framework…

Published

Last Updated: 18 Jul 2024

ITU-T P.565

Framework for creation and performance testing of machine learning based models for the assessment of transmission network impact on speech quality for mobile packet-switched voice services

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Telecom and network-based services AI-specific Accuracy and performance System architecture

Measurement and test methods Process, management and governance Product and performance requirements

This Recommendation1 specifies a framework in the form of constraints, performance criteria and methods for the development of intrusive parametric,…

Published

Last Updated: 18 Jul 2024

Content Type

Health informatics – Applications of machine learning technologies in imaging and other medical applications

Guidelines on the environmental efficiency of machine learning processes in supply chain management

Governance of organizations. Guidance

Governance of information technology – Guidance for principles-based standards in the governance of information technology

Guidance for the development of machine-learning-based solutions for QoS/QoE prediction and network performance management in telecommunication scenarios

Framework of network slicing with AI-assisted analysis in IMT-2020 networks

Functional architecture of machine learning-based quality of service assurance for the IMT-2020 network

Functional framework of artificial intelligence-based network service provisioning in future networks including IMT-2020

Functional architecture of network-based driving assistance for autonomous vehicles

Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML)

Framework of artificial intelligence enhanced telecom operation and management (AITOM)

Framework for creation and performance testing of machine learning based models for the assessment of transmission network impact on speech quality for mobile packet-switched voice services

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