Contributions
[ Source: China Information Communication Technologies Group ] [ AI/Question: Q12/15 ]  |
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Numéro
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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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[ 1919 ]
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Recommendation Relationships
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China Information Communication Technologies Group
,
Ciena Canada
|
Q14/15, Q12/15
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2020-01-14 |
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[ 1780 ]
|
New clauses for PC and TP components in G.7701
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China Information Communication Technologies Group
|
Q14/15, Q12/15
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2020-01-14 |
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[ 1778 ]
|
MTN-based virtual network
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China Information Communication Technologies Group
,
China Mobile Communications Corporation
|
Q14/15, Q12/15
|
2020-01-14 |
|
[ 1773 ]
|
Apply the ML architecture in Y.3172 to transport network
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China Information Communication Technologies Group
|
Q14/15, Q12/15
|
2020-01-14 |
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[ 1673 ]
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Consideration for reliability of MCC
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China Information Communication Technologies Group
|
Q14/15, Q12/15
|
2020-01-13 |
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[ 1672 ]
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Considerations on B100G muxponder support in OTN optical layer networks
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China Information Communication Technologies Group
,
Huawei Technologies Co., Ltd. (China)
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Q12/15, Q11/15
|
2020-01-13 |
|
[ 1634 ]
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The terms and their relations about MCC
|
China Information Communication Technologies Group
|
Q14/15, Q12/15
|
2020-01-13 |
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[ 1633 ]
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Proposal of NE and Net AI Engine
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China Information Communication Technologies Group
|
Q14/15, Q12/15
|
2020-01-13 |
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[ 1550 ]
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Use cases and requirements for applying Machine Learning in Optical Transport Network
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China Information Communication Technologies Group
,
China Unicom
|
Q14/15, Q12/15
|
2020-01-06 |
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[ 1549 ]
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Applying Machine Learning in Optical Transport Network
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China Information Communication Technologies Group
|
Q14/15, Q12/15
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2020-01-06 |
Resultats:10 documents
|
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