Research on the integration and development of public management strategies and rural e-commerce based on the integration model

This paper focuses on the symbiotic development of rural e-commerce and logistics by exploring the intersection of fusion modeling with public management. By leveraging data fusion and logistics optimization, we address the burgeoning needs of rural e-commerce, presenting a deep learning approach th...
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Autor*in:	Li Xiaoxiao [verfasserIn] Zhuo Pan [verfasserIn] Zhang Hua [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2024

Schlagwörter:	convergence modeling public administration rural e-commerce data convergence 65y04

Übergeordnetes Werk:	In: Applied Mathematics and Nonlinear Sciences - Sciendo, 2022, 9(2024), 1
Übergeordnetes Werk:	volume:9 ; year:2024 ; number:1

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.2478/amns-2024-0774

Katalog-ID:	DOAJ092468721

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allfieldsSound	10.2478/amns-2024-0774 doi (DE-627)DOAJ092468721 (DE-599)DOAJ7fa0d327dc774ab2af4c05e6346b8a01 DE-627 ger DE-627 rakwb eng QA1-939 Li Xiaoxiao verfasserin aut Research on the integration and development of public management strategies and rural e-commerce based on the integration model 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper focuses on the symbiotic development of rural e-commerce and logistics by exploring the intersection of fusion modeling with public management. By leveraging data fusion and logistics optimization, we address the burgeoning needs of rural e-commerce, presenting a deep learning approach that incorporates Deep Belief Networks (DBNs) and weight-sharing to achieve a 40% data compression rate. This advancement significantly lowers storage and energy costs while enhancing computational efficiency. Furthermore, we devise a rural e-commerce logistics and distribution model optimized through an ant colony algorithm to maximize profits and demand coverage. The application of this Model has led to a 20% increase in profits and a surge in demand coverage to 90%, showcasing the efficacy of fusion models in streamlining rural e-commerce logistics. These insights contribute to the broader discourse on innovative public management strategies. convergence modeling public administration rural e-commerce data convergence 65y04 Mathematics Zhuo Pan verfasserin aut Zhang Hua verfasserin aut In Applied Mathematics and Nonlinear Sciences Sciendo, 2022 9(2024), 1 (DE-627)1669012468 24448656 nnns volume:9 year:2024 number:1 https://doi.org/10.2478/amns-2024-0774 kostenfrei https://doaj.org/article/7fa0d327dc774ab2af4c05e6346b8a01 kostenfrei https://doi.org/10.2478/amns-2024-0774 kostenfrei https://doaj.org/toc/2444-8656 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2088 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 9 2024 1
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callnumber-first	Q - Science
author	Li Xiaoxiao
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topic_title	QA1-939 Research on the integration and development of public management strategies and rural e-commerce based on the integration model convergence modeling public administration rural e-commerce data convergence 65y04
topic	misc QA1-939 misc convergence modeling misc public administration misc rural e-commerce misc data convergence misc 65y04 misc Mathematics
topic_unstemmed	misc QA1-939 misc convergence modeling misc public administration misc rural e-commerce misc data convergence misc 65y04 misc Mathematics
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title	Research on the integration and development of public management strategies and rural e-commerce based on the integration model
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title_sort	research on the integration and development of public management strategies and rural e-commerce based on the integration model
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title_auth	Research on the integration and development of public management strategies and rural e-commerce based on the integration model
abstract	This paper focuses on the symbiotic development of rural e-commerce and logistics by exploring the intersection of fusion modeling with public management. By leveraging data fusion and logistics optimization, we address the burgeoning needs of rural e-commerce, presenting a deep learning approach that incorporates Deep Belief Networks (DBNs) and weight-sharing to achieve a 40% data compression rate. This advancement significantly lowers storage and energy costs while enhancing computational efficiency. Furthermore, we devise a rural e-commerce logistics and distribution model optimized through an ant colony algorithm to maximize profits and demand coverage. The application of this Model has led to a 20% increase in profits and a surge in demand coverage to 90%, showcasing the efficacy of fusion models in streamlining rural e-commerce logistics. These insights contribute to the broader discourse on innovative public management strategies.
abstractGer	This paper focuses on the symbiotic development of rural e-commerce and logistics by exploring the intersection of fusion modeling with public management. By leveraging data fusion and logistics optimization, we address the burgeoning needs of rural e-commerce, presenting a deep learning approach that incorporates Deep Belief Networks (DBNs) and weight-sharing to achieve a 40% data compression rate. This advancement significantly lowers storage and energy costs while enhancing computational efficiency. Furthermore, we devise a rural e-commerce logistics and distribution model optimized through an ant colony algorithm to maximize profits and demand coverage. The application of this Model has led to a 20% increase in profits and a surge in demand coverage to 90%, showcasing the efficacy of fusion models in streamlining rural e-commerce logistics. These insights contribute to the broader discourse on innovative public management strategies.
abstract_unstemmed	This paper focuses on the symbiotic development of rural e-commerce and logistics by exploring the intersection of fusion modeling with public management. By leveraging data fusion and logistics optimization, we address the burgeoning needs of rural e-commerce, presenting a deep learning approach that incorporates Deep Belief Networks (DBNs) and weight-sharing to achieve a 40% data compression rate. This advancement significantly lowers storage and energy costs while enhancing computational efficiency. Furthermore, we devise a rural e-commerce logistics and distribution model optimized through an ant colony algorithm to maximize profits and demand coverage. The application of this Model has led to a 20% increase in profits and a surge in demand coverage to 90%, showcasing the efficacy of fusion models in streamlining rural e-commerce logistics. These insights contribute to the broader discourse on innovative public management strategies.
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title_short	Research on the integration and development of public management strategies and rural e-commerce based on the integration model
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