skip to main content
Language:
Search Limited to: Search Limited to: Resource type Show Results with: Show Results with: Search type Index

Trend and Visualization of Artificial Intelligence Research in the Last 10 Years

TEM Journal, 2023-05, Vol.12 (2), p.918-927 [Peer Reviewed Journal]

2023. This work is published under https://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2217-8309 ;EISSN: 2217-8333 ;DOI: 10.18421/TEM122-38

Full text available

Citations Cited by
  • Title:
    Trend and Visualization of Artificial Intelligence Research in the Last 10 Years
  • Author: Prahani, Binar Kurnia ; Imah, Elly Matul ; Maureen, Irena Yolanita ; Rakhmawati, Lusia ; Saphira, Hanandita Veda
  • Subjects: Algorithms ; Artificial intelligence ; Artificial neural networks ; Automation ; bibliometric ; Bibliometrics ; Deep learning ; Education and training ; Information Architecture ; Keywords ; Machine learning ; Metadata ; Neural networks ; Trends ; Visualization
  • Is Part Of: TEM Journal, 2023-05, Vol.12 (2), p.918-927
  • Description: Technology is permeating every aspect of our everyday lives, and businesses are increasingly turning to learning algorithms. These technologies are commonly associated with Artificial Intelligence (AI), Deep Learning (DL), Machine Learning (ML), and Artificial Neural Network (ANN). Due to previous research exciting findings, implications, and limitations, the research publication on AI, ML, DL, and ANN will increase each year. Finally, the growth analysis of AI, ML, DL, and ANN publications in last 10 years brings up the results that the publications significantly increase each year. This research utilizes descriptive analyses and bibliometrics. Implications of the investigation of specific keyword mapping visualization results on AI, ML, DL, and ANN, can be created and enhanced for more study. A different area of future research might focus on using fewer terms, particularly to study learning methods like AI, ML, DL, and ANN in a convolutional neural network.
  • Publisher: Novi Pazar: UIKTEN - Association for Information Communication Technology Education and Science
  • Language: English
  • Identifier: ISSN: 2217-8309
    EISSN: 2217-8333
    DOI: 10.18421/TEM122-38
  • Source: CEEOL: Open Access
    Alma/SFX Local Collection
    Coronavirus Research Database
    ProQuest Central
    DOAJ Directory of Open Access Journals
Back to results list
INSPIRE LIBRARY - TON DUC THANG UNIVERSITY (84-028) 37 755 057 Feedback
19 Nguyen Huu Tho St. Dist.7, HCM thuvien@tdtu.edu.vn

Copyright © 2017 INSPIRE LIBRARY - TON DUC THANG UNIVERSITY

Searching Remote Databases, Please Wait