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Page d'accueil : UIT-T : SG16 : R�union�2023-07-10�: Documents Temporaires� Ajout�s r�cemment�-� Recherche de documents de r�union
UIT-T�SG16� TD-GEN�(2023-07-10)�

UIT-T�SG16

Multim�dias

P�riode d'�tudes 2022

R�union� du 2023-07-10 au 2023-07-21

Lieu : Suisse [Gen�ve]

Autres r�unions : 2024-08-302024-04-152023-12-142023-11-222023-11-16� [ 2023-07-10 ]� 2023-03-172022-10-17

Resultats:10 documents
Documents Temporaires �(GEN) �[�AI/Question:�Q26/16�]���Documents / Contributions

Num�ro
Titre Source AI/Question
Date
[ 235-GEN ]
LS on the progress of ITU-T FG-MV WG8 [from FG-MV] � FG-MV Q26/16 2023-07-07
[ 230-GEN ]
+Add.1
LS on progress made on the draft new ITU-T Technical Report JSTR.LCAP "Technical advances, challenges, and best practices in live captioning" during the SG9 meeting held in Bangalore, India (9-18 May 2023) [from ITU-T SG9] � ITU-T Study Group 9 Q26/16 2023-06-30
[ 186-GEN ]
+Add.1
LS on progress of TR.MMWF "Methodologies to mitigate Wangiri Fraud" [from ITU-T SG2] � ITU-T Study Group 2 Q26/16 2023-03-28
[ 182-GEN ]
LS/r on continued cooperation between ITU-T Study Group 2 (SG2) and ITU-T Study Group 20 (SG20) (reply to SG20-LS18, SG20-LS19, and SG20-LS22) [from ITU-T SG2] � ITU-T Study Group 2 Q26/16 2023-03-27
[ 180-GEN ]
LS/r on initiation of new work item draft new ITU-T Technical Report JSTR.LCAP "Technical advances, challenges, and best practices in live captioning" (SG9-LS18) [from ITU-R SG6] � ITU-R SG6 Q26/16 2023-03-27
[ 159-GEN ]
+Add.1
LS to update progress of work related to accessible smart cities [from ITU-T SG20] � ITU-T Study Group 20 Q26/16 2023-02-20
[ 158-GEN ]
+Add.1
LS on accessibility matters [from ITU-T SG20] � ITU-T Study Group 20 Q26/16 2023-02-20
[ 149-GEN ]
+Add.1-2
Approved Resolutions and Actions of the MoU/MG meeting (online, 17-18 January 2023) � TSB Q5/16, Q27/16, Q26/16, Q24/16, Q23/16, Q22/16 2023-01-27
[ 144-GEN ]
+Add.1
LS on collaboration on content distribution platforms [from ITU-D Q2/1] � ITU-D Q2/1 Q26/16, Q13/16 2023-01-17
[ 143-GEN ]
+Add.1
LS on the consent of draft new Recommendation ITU-T Y.3183 (ex. ITU-T Y.ML-IMT2020-VNS): "Framework for network slicing management assisted by machine learning leveraging QoE feedback from verticals" [from ITU-T SG13] � ITU-T Working Party 1/13 Q5/16, Q28/16, Q26/16, Q24/16, Q21/16, Q13/16 2023-01-16
Resultats:10 documents
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