Vol.12, No.2, May 2023.                                                                                                                                                                               ISSN: 2217-8309

                                                                                                                                                                                                                    eISSN: 2217-8333

 

TEM Journal

 

TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS

Association for Information Communication Technology Education and Science


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

 

Binar Kurnia Prahani, Elly Matul Imah, Irena Yolanita Maureen, Lusia Rakhmawati, Hanandita Veda Saphira

 

© 2023 Binar Kurnia Prahani, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)

 

Citation Information: TEM Journal. Volume 12, Issue 2, Pages 918-927, ISSN 2217-8309, DOI: 10.18421/TEM122-38, May 2023.

 

Received: 31 October 2022.

Revised:   27 January 2023.
Accepted:  04 April 2023.
Published: 29 May 2023.

 

Abstract:

 

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.

 

Keywords –artificial intelligence, bibliometric, deep learning, machine learning.

 

-----------------------------------------------------------------------------------------------------------

Full text PDF >  

-----------------------------------------------------------------------------------------------------------

 


Copyright © 2023 UIKTEN
Copyright licence: All articles are licenced via Creative Commons CC BY-NC-ND 4.0 licence