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Research on key technology of transmission and OPGW line hidden danger prediction based on neural network

Xin Wang

Xin Wang

State Grid Xinjiang Electric Power Co., Ltd. Information and Communication CompanyUrumqi, China
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Wang, Xin
, 
Gang Liang

Gang Liang

State Grid Xinjiang Electric Power Co., Ltd. Information and Communication CompanyUrumqi, China
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Liang, Gang
, 
Qing Li

Qing Li

State Grid Xinjiang Electric Power Co., Ltd. Information and Communication CompanyUrumqi, China
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Li, Qing
, 
Limin Cui

Limin Cui

State Grid Xinjiang Electric Power Co., Ltd. Information and Communication CompanyUrumqi, China
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Cui, Limin
, 
Changyue Hu

Changyue Hu

State Grid Xinjiang Electric Power Co., Ltd. Information and Communication CompanyUrumqi, China
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Hu, Changyue
 e 
Xiaozhen Wang

Xiaozhen Wang

State Grid Xinjiang Electric Power Co., Ltd. Information and Communication CompanyUrumqi, China
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Wang, Xiaozhen
  
26 feb 2024
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Pubblicato online: 26 feb 2024
Ricevuto: 10 gen 2024
Accettato: 15 gen 2024
DOI: https://doi.org/10.2478/amns-2024-0459
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© 2024 Xin Wang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Wang, Xin
State Grid Xinjiang Electric Power Co., Ltd. Information and Communication CompanyUrumqi, China
Liang, Gang
State Grid Xinjiang Electric Power Co., Ltd. Information and Communication CompanyUrumqi, China
Li, Qing
State Grid Xinjiang Electric Power Co., Ltd. Information and Communication CompanyUrumqi, China
Cui, Limin
State Grid Xinjiang Electric Power Co., Ltd. Information and Communication CompanyUrumqi, China
Hu, Changyue
State Grid Xinjiang Electric Power Co., Ltd. Information and Communication CompanyUrumqi, China
Wang, Xiaozhen
State Grid Xinjiang Electric Power Co., Ltd. Information and Communication CompanyUrumqi, China
Lingua:
Inglese
Frequenza di pubblicazione:
1 volte all'anno
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Scienze biologiche, Scienze della vita, altro, Matematica, Matematica applicata, Matematica generale, Fisica, Fisica, altro
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