Current Research in Future Information and Communication Engineering 2022-Reference-Cited by-同舟云学术

Current Research in Future Information and Communication Engineering 2022

Published:2023-06-18 Issue:12 Volume:13 Page:7258
ISSN:2076-3417
Container-title:Applied Sciences
language:en
Short-container-title:Applied Sciences

Author:

Yu Yun Seop¹^ORCID,Kim Kwang-Baek²^ORCID,Jo Dongsik³^ORCID,Kim Hee-Cheol⁴,Seo Jeongwook⁵^ORCID

Affiliation:

1. Major of ICT & Robotics Engineering, Hankyong National University, Anseong 17579, Republic of Korea

2. Department of Artificial Intelligence, Silla University, Busan 46958, Republic of Korea

3. School of IT Convergence, University of Ulsan, Ulsan 44610, Republic of Korea

4. Institute of Digital Anti-Aging Healthcare, Inje University, Gimhae 50834, Republic of Korea

5. School of Computing and Artificial Intelligence, Hanshin University, Osan-si 18101, Republic of Korea

Abstract

The digital revolution has transformed the way we communicate, access information, and interact with technology [...]

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Link

https://www.mdpi.com/2076-3417/13/12/7258/pdf

Reference22 articles.

1. Digital Transformation;Ebert;IEEE Softw.,2018

2. Mozumder, M.A.I., Armand, T.P.T., Imtiyaj Uddin, S.M., Athar, A., Sumon, R.I., Hussain, A., and Kim, H.-C. (2023). Metaverse for Digital Anti-Aging Healthcare: An Overview of Potential Use Cases Based on Artificial Intelligence, Blockchain, IoT Technologies, Its Challenges, and Future Directions. Appl. Sci., 13.

3. Mudeng, V., Kim, M., and Choe, S.-W. (2022). Prospects of Structural Similarity Index for Medical Image Analysis. Appl. Sci., 12.

4. Kim, K.B., Song, D.H., and Park, H.J. (2022). Robust Automatic Segmentation of Inflamed Appendix from Ultrasonography with Double-Layered Outlier Rejection Fuzzy C-Means Clustering. Appl. Sci., 12.

5. Kim, K.B., Park, H.J., and Song, D.H. (2023). Combining Supervised and Unsupervised Fuzzy Learning Algorithms for Robust Diabetes Diagnosis. Appl. Sci., 13.

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