Contributions
�[�AI/Question:�Q13/12�]��� |
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Num�ro�
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Titre
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Source
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AI/Question
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Date
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[ 202 ]
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Assessing the Impact of LTE and 5G Networks on Virtual Reality Experience
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T�rk Telekom A.S. (T�rkiye)
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Q13/12
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2024-03-29 |
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[ 198 ]
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Measuring Quality Influencing Factors of Virtual Reality Services
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Rohde & Schwarz GmbH & Co. KG (Germany)
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Q13/12
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2024-03-28 |
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[ 192 ]
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Proposed edits to P.SMAR: Rating scales for key parameters and test environment and equipment
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China Mobile Communications Co. Ltd.
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Q13/12
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2024-03-25 |
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[ 159 ]
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The Role of 5G in Enhancing QoS/QoE in XR Applications
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T�rk Telekom A.S. (T�rkiye)
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Q13/12
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2023-09-06 |
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[ 157 ]
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Proposed modifications on work item, E.AIQ Artificial Intelligence Quotient (AI-Q) for indexing and rating AI algorithms used in conversational AI systems employed for customer service management, service optimisation and management as part of service quality assessment methodologies.
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Ministry of Communications (India)
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Q7/12, Q13/12, Q12/12
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2023-09-06 |
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[ 147 ]
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Content-immersive Subjective Quality Assessment in Long 360-degree Videos. Overview of the research conducted for the proposed revision of ITU-T P.919 (Subjective test methodologies for 360� video on head-mounted displays) to include long videos
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Nokia Corporation (Finland)
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Q13/12
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2023-09-04 |
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[ 141 ]
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(Rev.1)� |
Proposed edits to E.NUI: RF level based single-number indicator for mobile network usefulness for a given range of applications
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Telecom Regulatory Authority of India (TRAI)
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Q13/12
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2023-09-03 |
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[ 138 ]
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(Rev.1)� |
Baseline text for P.SMAR
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China Mobile Communications Co. Ltd.
,
Huawei Technologies Co., Ltd. (China)
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Q13/12
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2023-08-30 |
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[ 131 ]
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Proposed revision of ITU-T P.919 (Subjective test methodologies for 360� video on head-mounted displays) to include long videos
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Nokia Corporation (Finland)
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Q13/12
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2023-08-24 |
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[ 127 ]
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(Rev.1-2)� |
A general single-number metric on RF levels expressing fitness-for-purpose
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Focus Infocom Ges. F. Informatik u. Telekomm. mbH (Germany)
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Q13/12
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2023-07-25 |
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[ 126 ]
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(Rev.1-2)� |
Metric and methodology to assess the fitness of mobile network coverage for supervisor-assisted autonomous driving
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Focus Infocom Ges. F. Informatik u. Telekomm. mbH (Germany)
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Q17/12, Q13/12, Q12/12
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2023-07-25 |
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[ 94 ]
�
(Rev.1)� |
Improved text of the E.AIQ Artificial Intelligence Quotient (AI-Q) for indexing and rating AI algorithms used in conversational AI systems employed for customer service management, service optimisation and management as part of service quality assessment methodologies.
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India
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Q7/12, Q13/12, Q12/12
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2023-01-04 |
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[ 90 ]
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(Rev.1)� |
Baseline text for G.QoE-5G "QoE requirements for new services over 5G networks"
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China Mobile Communications Co. Ltd.
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Q13/12
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2023-01-04 |
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[ 86 ]
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New work item for Studying Subjective Tests for Evaluating the User Experience for Mobile AR Applications
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China Mobile Communications Co. Ltd.
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Q13/12
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2022-12-30 |
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[ 70 ]
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Proposed revised text for E.NUI: A general single-number metric on RF levels expressing fitness-for-purpose
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Focus Infocom Ges. F. Informatik u. Telekomm. mbH (Germany)
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Q13/12
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2022-12-16 |
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[ 32 ]
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G.QoE-AR: Proposal for adding content in Baseline text
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China Mobile Communications Co. Ltd.
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Q13/12
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2022-05-24 |
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[ 31 ]
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Updated baseline text of SupplGQoECAT
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China Mobile Communications Co. Ltd.
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Q13/12
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2022-05-24 |
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[ 5 ]
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QoE requirements for real-time multimedia services over 5G networks
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Nokia Corporation (Finland)
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Q13/12
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2022-04-20 |
Resultats:18 documents
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T�l�chargement de multiples documents:�Formats et langues � prendre en compte (si disponibles):
