Optimization Analysis of the Emergency Logistics Identification Method Based on the Deep Learning Model under the Background of Big Data | Zendy

Aifeng Song | Zendy; Xue Yang | Zendy; Likun Ni | Zendy; Chen Liu | Zendy; Yujia Yao | Zendy; Langxuan Pan | Zendy

Open Access

Optimization Analysis of the Emergency Logistics Identification Method Based on the Deep Learning Model under the Background of Big Data

Author(s) -

Aifeng Song,

Xue Yang,

Likun Ni,

Chen Liu,

Yujia Yao,

Langxuan Pan

Publication year - 2022

Publication title -

wireless communications and mobile computing

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.42

H-Index - 64

eISSN - 1530-8677

pISSN - 1530-8669

DOI - 10.1155/2022/2463035

Subject(s) - truck , computer science , supply chain , energy consumption , operations research , service (business) , process (computing) , identification (biology) , vehicle routing problem , deep learning , routing (electronic design automation) , minification , artificial intelligence , business , engineering , computer network , botany , electrical engineering , marketing , biology , aerospace engineering , operating system , programming language

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