Contributions
[ AI/Question: Q13/12 ] |
|
Number
|
Title
|
Source
|
AI/Question
|
Date
|
|
[ 202 ]
|
Assessing the Impact of LTE and 5G Networks on Virtual Reality Experience
|
Türk Telekom A.S. (Türkiye)
|
Q13/12
|
2024-03-29 |
|
[ 198 ]
|
Measuring Quality Influencing Factors of Virtual Reality Services
|
Rohde & Schwarz GmbH & Co. KG (Germany)
|
Q13/12
|
2024-03-28 |
|
[ 192 ]
|
Proposed edits to P.SMAR: Rating scales for key parameters and test environment and equipment
|
China Mobile Communications Co. Ltd.
|
Q13/12
|
2024-03-25 |
|
[ 159 ]
|
The Role of 5G in Enhancing QoS/QoE in XR Applications
|
Türk Telekom A.S. (Türkiye)
|
Q13/12
|
2023-09-06 |
|
[ 157 ]
|
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.
|
Ministry of Communications (India)
|
Q7/12, Q13/12, Q12/12
|
2023-09-06 |
|
[ 147 ]
|
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 360º video on head-mounted displays) to include long videos
|
Nokia Corporation (Finland)
|
Q13/12
|
2023-09-04 |
|
[ 141 ]
(Rev.1) |
Proposed edits to E.NUI: RF level based single-number indicator for mobile network usefulness for a given range of applications
|
Telecom Regulatory Authority of India (TRAI)
|
Q13/12
|
2023-09-03 |
|
[ 138 ]
(Rev.1) |
Baseline text for P.SMAR
|
China Mobile Communications Co. Ltd.
,
Huawei Technologies Co., Ltd. (China)
|
Q13/12
|
2023-08-30 |
|
[ 131 ]
|
Proposed revision of ITU-T P.919 (Subjective test methodologies for 360º video on head-mounted displays) to include long videos
|
Nokia Corporation (Finland)
|
Q13/12
|
2023-08-24 |
|
[ 127 ]
(Rev.1-2) |
A general single-number metric on RF levels expressing fitness-for-purpose
|
Focus Infocom Ges. F. Informatik u. Telekomm. mbH (Germany)
|
Q13/12
|
2023-07-25 |
|
[ 126 ]
(Rev.1-2) |
Metric and methodology to assess the fitness of mobile network coverage for supervisor-assisted autonomous driving
|
Focus Infocom Ges. F. Informatik u. Telekomm. mbH (Germany)
|
Q17/12, Q13/12, Q12/12
|
2023-07-25 |
|
[ 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.
|
India
|
Q7/12, Q13/12, Q12/12
|
2023-01-04 |
|
[ 90 ]
(Rev.1) |
Baseline text for G.QoE-5G "QoE requirements for new services over 5G networks"
|
China Mobile Communications Co. Ltd.
|
Q13/12
|
2023-01-04 |
|
[ 86 ]
|
New work item for Studying Subjective Tests for Evaluating the User Experience for Mobile AR Applications
|
China Mobile Communications Co. Ltd.
|
Q13/12
|
2022-12-30 |
|
[ 70 ]
|
Proposed revised text for E.NUI: A general single-number metric on RF levels expressing fitness-for-purpose
|
Focus Infocom Ges. F. Informatik u. Telekomm. mbH (Germany)
|
Q13/12
|
2022-12-16 |
|
[ 32 ]
|
G.QoE-AR: Proposal for adding content in Baseline text
|
China Mobile Communications Co. Ltd.
|
Q13/12
|
2022-05-24 |
|
[ 31 ]
|
Updated baseline text of SupplGQoECAT
|
China Mobile Communications Co. Ltd.
|
Q13/12
|
2022-05-24 |
|
[ 5 ]
|
QoE requirements for real-time multimedia services over 5G networks
|
Nokia Corporation (Finland)
|
Q13/12
|
2022-04-20 |
Results:18 total items.
|
Multiple Document Download: Formats and Languages to be included (when available):