Evidence map›Paper›PMID 36082351›Full record

ArticleComputational intelligence and neuroscience2022

Artificial Intelligence-Based Recommendation and Application of Public Services in Smart Cities.

Jin Zhou

RetractedAbstract readRetracted Publication
In one paragraph

Article in Computational intelligence and neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Jin ZhouSchool of Public Administration, Sichuan University, Chengdu 610065, China.ORCID https://orcid.org/0000-0002-2158-1997

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the promotion and application of information technology, smart cities based on artificial intelligence have become the best choice for the government to solve urban problems, connect urban citizens, and provide quality public services. From the initial information city and digital city to the current smart city, the construction of smart cities has undergone profound changes with five major characteristics: big data, intelligence, innovation, interaction, and integration, and Internet giants have emerged in the field of public services in smart cities. Internet giants are emerging in the construction of public service platforms for smart cities, and traditional smart city construction enterprises are also expanding various forms of urban operation services through the form of "Internet+". Nevertheless, there is still a gap between the quantity and quality of China's smart cities compared with developed countries, and there is a need to build a number of pilot smart cities characterized by the linkage of artificial intelligence technology and public services, easy to promote, and sustainable development. The smart city construction model with public services as the core has research value and has the possibility of becoming the mainstream development in the future. Therefore, exploring the organic combination of AI technology and urban public services is the key to answer whether AI technology can promote the improvement of urban public services.

Indexed as

Artificial IntelligenceBig DataCitiesTechnology

Identifiers

PMID36082351
PMCPMC9448549

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.