Contributions
[ AI/Question: Q15/12 ]  |
|
Number
|
Title
|
Source
|
AI/Question
|
Date
|
|
[ 313 ]
(Rev.1) |
A Machine Learning Approach in SG12
|
InfoVista SAS (France)
|
Q16/12, Q15/12, Q1/12
|
2018-11-14 |
|
[ 307 ]
|
Draft Recommendation G.113 Amendment 2
|
Deutsche Telekom AG (Germany)
,
Nippon Telegraph and Telephone Corporation (NTT) (Japan)
,
Orange (France)
|
Q15/12
|
2018-11-14 |
|
[ 306 ]
|
Merged results of EVS-SWB equipment impairment factor estimations
|
Deutsche Telekom AG (Germany)
,
Orange (France)
|
Q15/12
|
2018-11-14 |
|
[ 297 ]
|
Draft Recommendation G.107.2 "Fullband E-model"
|
Deutsche Telekom AG (Germany)
,
Nippon Telegraph and Telephone Corporation (NTT) (Japan)
,
Orange (France)
|
Q15/12
|
2018-11-14 |
|
[ 289 ]
|
Incorporation of parameters in E-model algorithm to support techniques used in wireless communications
|
Deutsche Telekom AG (Germany)
|
Q15/12
|
2018-11-14 |
|
[ 261 ]
|
Key quality factors that affect QoE in videotelephony services for G.CMVTQS
|
China Mobile Communications Corporation
,
Huawei Technologies Co., Ltd. (China)
,
Orange (France)
|
Q15/12, Q14/12, Q10/12
|
2018-11-13 |
|
[ 260 ]
|
Fullband extension of R-value
|
Nippon Telegraph and Telephone Corporation (NTT) (Japan)
|
Q15/12
|
2018-11-13 |
|
[ 259 ]
|
Corrigendum for T17-SG12-C-0158
|
Nippon Telegraph and Telephone Corporation (NTT) (Japan)
|
Q15/12
|
2018-11-13 |
|
[ 256 ]
|
Draft Text for a New Recommendation "Voice Service Quality Monitoring and Troubleshooting Framework for Intrusive Parametric Voice QoE Prediction, P.VSQMTF"
|
InfoVista SAS (France)
|
Q15/12
|
2018-11-12 |
|
[ 255 ]
|
P.VSQMTF Differences vis a vis P.564
|
InfoVista SAS (France)
|
Q15/12
|
2018-11-12 |
Results:10 total items.
|
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