Cloud-based configurable data stream processing architecture in rural economic development

The RL-CNN-GRU framework contributes to rural informatization by offering a more accurate prediction tool, thereby supporting improved decision-making in agricultural processes and fostering rural economic development.

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Publication Details

Journal
PeerJ Computer Science
Published
2024-11-22
DOI
https://doi.org/10.7717/peerj-cs.2547
Citations
2
Primary Topic
Stock Market Forecasting Methods
Type
article
Field-Weighted Citation Impact
0.98
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article

Cloud-based configurable data stream processing architecture in rural economic development

Fadi M. Al-Turjman, Huangyin Chen
2 citations
PeerJ Computer Science
Stock Market Forecasting Methods
0.98
article

Cloud-based configurable data stream processing architecture in rural economic development

Fadi M. Al-Turjman, Huangyin Chen
article en
2 citations

Abstract

The RL-CNN-GRU framework contributes to rural informatization by offering a more accurate prediction tool, thereby supporting improved decision-making in agricultural processes and fostering rural economic development.

PeerJ Computer ScienceVol. 10
Wuhan Technology and Business University (CN), Near East University (CY)
Zero hunger
Openalex Percentile: Top 20%
Stock Market Forecasting Methods
0.98
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Cloud-based configurable data stream processing architecture in rural economic development — Fadi M. Al-Turjman, Huangyin Chen · PeerJ Computer Science (2024) | TGRS Research Map | TGRS