Evidence map›Paper›PMID 34925490›Full record

ArticleComputational intelligence and neuroscience2021

Research and Implementation of Mobile Internet Management Optimization and Intelligent Information System Based on Smart Decision.

Yanqing Han, Yuyan Lei, Zimin Bao, Qingyuan Zhou

Abstract read
In one paragraph

Article in Computational intelligence and neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Yanqing HanXi'an Jiaotong University City College, Xi'an, China.ORCID https://orcid.org/0000-0002-9817-4337
Yuyan LeiCollege of Economics and Management, Xi'an University of Posts & Telecommunications, Xi'an, China.ORCID https://orcid.org/0000-0003-3301-1438
Zimin BaoXi'an Jiaotong University City College, Xi'an, China.ORCID https://orcid.org/0000-0003-1196-5740
Qingyuan ZhouSchool of Economics and Management, Changzhou Vocational Institute of Mechatronic Technology, Changzhou, China.ORCID https://orcid.org/0000-0002-1071-9735

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The way by which artificial intelligence is implemented is similar to the thinking process of the human brain. People obtain information about external conditions through five senses, namely, vision, hearing, smell, taste, and touch, and, through the further processing of the brain, it forms meaningful decision-making elements. Then, through the process of analysis and reasoning, further decisions are made. In the information age, the application of intelligent management information systems in various fields has promoted the modernization and intelligence of social development. From the perspective of intelligent decision-making, this paper analyzes the requirements of intelligent information systems and designs an intelligent information system based on mobile Internet management optimization, including system management optimization, and proposes an environment-based layer, network transport layer, and the three-tier system architecture of the smart service application layer. Finally, this paper considers the problem of data fusion after system expansion. According to the existing fuzzy fusion algorithm, a weight-based fuzzy fusion algorithm is proposed. The simulation analysis shows that the algorithm can be effectively applied in intelligent information systems.

Indexed as

AlgorithmsArtificial IntelligenceHumansInformation SystemsIntelligenceInternet

Identifiers

PMID34925490
PMCPMC8677384

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.