Contributions
�[�AI/Question:�Q15/12�]��� |
�
|
Num�ro�
|
Titre
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Source
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AI/Question
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Date
|
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[ 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
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� |
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
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� |
Deutsche Telekom AG (Germany)
� |
Q15/12
� |
2018-11-14 |
|
[ 261 ]
�
� |
Key quality factors that affect QoE in videotelephony services for G.CMVTQS
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� |
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
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� |
Nippon Telegraph and Telephone Corporation (NTT) (Japan)
� |
Q15/12
� |
2018-11-13 |
|
[ 259 ]
�
� |
Corrigendum for T17-SG12-C-0158
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� |
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 |
Resultats:10 documents
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