Research and application of communication engineering industry analysis and decision platform based on the integration of AI and big data

The communication engineering industry is developing rapidly, with explosive growth in data volume, and traditional analysis and decision-making methods are no longer able to meet the demand. This article proposes an analysis and decision-making platform that integrates AI and big data. The platform can efficiently process industry data that is multi-source, heterogeneous, massive, and highly real-time. The platform adopts a layered architecture, involving multiple key technologies such as machine learning and deep learning, covering multi-layer functions such as data collection, processing, and decision-making, and has multiple functional modules. Practical cases have proven that the platform has significant effects in improving industry efficiency, optimizing resource allocation, and ensuring communication quality. It provides new ideas and methods for the intelligent development of the communication engineering industry and has significant implications for technological innovation in the industry.

Authors

Institutions

Publication Details

Published
2025-07-18
DOI
https://doi.org/10.1117/12.3070454
Primary Topic
E-commerce and Technology Innovations
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research and application of communication engineering industry analysis and decision platform based on the integration of AI and big data

Jiafa Ye, Qiuxia Cai, Yixiang Xie
E-commerce and Technology Innovations
article

Research and application of communication engineering industry analysis and decision platform based on the integration of AI and big data

Jiafa Ye, Qiuxia Cai, Yixiang Xie
article en

Abstract

The communication engineering industry is developing rapidly, with explosive growth in data volume, and traditional analysis and decision-making methods are no longer able to meet the demand. This article proposes an analysis and decision-making platform that integrates AI and big data. The platform can efficiently process industry data that is multi-source, heterogeneous, massive, and highly real-time. The platform adopts a layered architecture, involving multiple key technologies such as machine learning and deep learning, covering multi-layer functions such as data collection, processing, and decision-making, and has multiple functional modules. Practical cases have proven that the platform has significant effects in improving industry efficiency, optimizing resource allocation, and ensuring communication quality. It provides new ideas and methods for the intelligent development of the communication engineering industry and has significant implications for technological innovation in the industry.

Minzu University of China (CN), Guangxi University (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 64%
E-commerce and Technology Innovations
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.