-
CiteScore
-
Impact Factor
Volume 1, Issue 1, IECE Transactions on Advanced Computing and Systems
Volume 1, Issue 1, 2024
Submit Manuscript Edit a Special Issue
Academic Editor
Inam Ullah
Inam Ullah
Gachon University, Republic of Korea
Article QR Code
Article QR Code
Scan the QR code for reading
Popular articles
IECE Transactions on Advanced Computing and Systems, Volume 1, Issue 1, 2024: 1-4

Open Access | Editorial | 21 November 2024
Revolutionizing Industries: The Transformative Role of Advanced Computing and Systems
1 Department of Computer Engineering, Gachon University, Seongnam 13120, Republic of Korea
* Corresponding Author: Inam Ullah, [email protected]
Received: 31 October 2024, Accepted: 18 November 2024, Published: 21 November 2024  
Abstract
Dear Researchers, I am pleased to introduce a new Transactions focusing on the rapidly evolving field of Advanced Computing and Systems. This journal serves as a platform for cutting-edge research and technological advancements that have the potential to reshape industries through state-of-the-art computing methodologies. Our aim is to foster interdisciplinary collaboration among researchers, practitioners, and industry leaders, facilitating the advancement of computing systems and exploring their impact on real-world applications. Through this publication, we seek to contribute to the academic discourse and drive innovation in this critical domain.

Keywords
advanced computing
artificial intelligence
machine learning
edge computing
quantum computing
internet of things
cloud computing
data security

Funding
This work was supported without any funding.

Conflicts of Interest
The author declare no conflicts of interest. 

Ethical Approval and Consent to Participate
Not applicable.

References
  1. Zhu, S., Yu, T., Xu, T., Chen, H., Dustdar, S., Gigan, S., ... & Pan, Y. (2023). Intelligent computing: the latest advances, challenges, and future. Intelligent Computing, 2, 0006.
    [CrossRef]   [Google Scholar]
  2. Gill, S. S., Xu, M., Ottaviani, C., Patros, P., Bahsoon, R., Shaghaghi, A., ... & Uhlig, S. (2022). AI for next generation computing: Emerging trends and future directions. Internet of Things, 19, 100514.
    [CrossRef]   [Google Scholar]
  3. Wang, L., Guo, D., Wu, H., Li, K., & Yu, W. (2024). TC-GCN: Triple cross-attention and graph convolutional network for traffic forecasting. Information Fusion, 105, 102229.
    [CrossRef]   [Google Scholar]
  4. Awaysheh, F. M., Alazab, M., Garg, S., Niyato, D., & Verikoukis, C. (2021). Big data resource management & networks: Taxonomy, survey, and future directions. IEEE Communications Surveys & Tutorials, 23(4), 2098-2130.
    [CrossRef]   [Google Scholar]
  5. Sharma, M., Tomar, A., & Hazra, A. (2024). Edge computing for industry 5.0: Fundamental, applications and research challenges. IEEE Internet of Things Journal.
    [CrossRef]   [Google Scholar]
  6. Ullah, I., Khan, I. U., Ouaissa, M., Ouaissa, M., & El Hajjami, S. (Eds.). (2024). Future communication systems using artificial intelligence, Internet of Things and data science. CRC Press.
    [Google Scholar]
  7. El Gharbaoui, O., Kiyadi, I., & El Boukhari, H. (2024). Evaluating AI and ML in Network Security: A Comprehensive Literature Review. Procedia Computer Science, 251, 727-733.
    [CrossRef]   [Google Scholar]
  8. Raschka, S., Patterson, J., & Nolet, C. (2020). Machine learning in python: Main developments and technology trends in data science, machine learning, and artificial intelligence. Information, 11(4), 193.
    [CrossRef]   [Google Scholar]
  9. Zeb, S., Nizamullah, F. N. U., Abbasi, N., & Fahad, M. (2024). AI in healthcare: revolutionizing diagnosis and therapy. International Journal of Multidisciplinary Sciences and Arts, 3(3), 118-128.
    [Google Scholar]
  10. Smith, B., Khojandi, A., & Vasudevan, R. (2023). Bias in reinforcement learning: A review in healthcare applications. ACM Computing Surveys, 56(2), 1-17.
    [CrossRef]   [Google Scholar]
  11. Ejjami, R., & Boussalham, K. (2024). Industry 5.0 in Manufacturing: Enhancing Resilience and Responsibility through AI-Driven Predictive Maintenance, Quality Control, and Supply Chain Optimization. International Journal For Multidisciplinary Research, 6(4).
    [Google Scholar]
  12. Xu, H., Sun, Z., Cao, Y., & Bilal, H. (2023). A data-driven approach for intrusion and anomaly detection using automated machine learning for the Internet of Things. Soft Computing, 27(19), 14469-14481.
    [CrossRef]   [Google Scholar]
  13. Awan, U., Hannola, L., Tandon, A., Goyal, R. K., & Dhir, A. (2022). Quantum computing challenges in the software industry. A fuzzy AHP-based approach. Information and Software Technology, 147, 106896.
    [CrossRef]   [Google Scholar]
  14. Zeng, D., Li, Y., Chen, L., Gu, L., & Hu, C. (2021). Sensing or transmission? Stochastic scheduling of energy-harvesting sensors toward zero-carbon IoT. IEEE Transactions on Green Communications and Networking, 6(2), 1132-1140.
    [CrossRef]   [Google Scholar]
  15. Bova, F., Goldfarb, A., & Melko, R. G. (2021). Commercial applications of quantum computing. EPJ quantum technology, 8(1), 2.
    [CrossRef]   [Google Scholar]
  16. Kong, X., Wu, Y., Wang, H., & Xia, F. (2022). Edge computing for internet of everything: A survey. IEEE Internet of Things Journal, 9(23), 23472-23485.
    [CrossRef]   [Google Scholar]
  17. Carvalho, G., Cabral, B., Pereira, V., & Bernardino, J. (2021). Edge computing: current trends, research challenges and future directions. Computing, 103(5), 993-1023.
    [CrossRef]   [Google Scholar]
  18. Ullah, I., Qian, S., Deng, Z., & Lee, J. H. (2021). Extended Kalman filter-based localization algorithm by edge computing in wireless sensor networks. Digital Communications and Networks, 7(2), 187-195.
    [CrossRef]   [Google Scholar]
  19. Qiu, T., Chi, J., Zhou, X., Ning, Z., Atiquzzaman, M., & Wu, D. O. (2020). Edge computing in industrial internet of things: Architecture, advances and challenges. IEEE Communications Surveys & Tutorials, 22(4), 2462-2488.
    [CrossRef]   [Google Scholar]
  20. Kling, R. (Ed.). (1996). Computerization and controversy: Value conflicts and social choices. Elsevier.
    [Google Scholar]
  21. Ullah, I., Adhikari, D., Su, X., Palmieri, F., Wu, C., & Choi, C. (2024). Integration of data science with the intelligent IoT (IIoT): Current challenges and future perspectives. Digital Communications and Networks.
    [CrossRef]   [Google Scholar]
  22. Saeed, M. M., & Alsharidah, M. (2024). Security, privacy, and robustness for trustworthy AI systems: A review. Computers and Electrical Engineering, 119, 109643.
    [CrossRef]   [Google Scholar]
  23. Bacevicius, M., & Paulauskaite-Taraseviciene, A. (2023). Machine learning algorithms for raw and unbalanced intrusion detection data in a multi-class classification problem. Applied Sciences, 13(12), 7328.
    [CrossRef]   [Google Scholar]

Cite This Article
APA Style
Ullah, I. (2025). Revolutionizing Industries: The Transformative Role of Advanced Computing and Systems. IECE Transactions on Advanced Computing and Systems, 1(1), 1–4. https://doi.org/10.62762/TACS.2025.123352

Article Metrics
Citations:

Crossref

0

Scopus

0

Web of Science

0
Article Access Statistics:
Views: 114
PDF Downloads: 36

Publisher's Note
IECE stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions
CC BY Copyright © 2024 by the Author(s). Published by Institute of Emerging and Computer Engineers. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.
IECE Transactions on Advanced Computing and Systems

IECE Transactions on Advanced Computing and Systems

ISSN: request pending (Online) | ISSN: request pending (Print)

Email: [email protected]

Portico

Portico

All published articles are preserved here permanently:
https://www.portico.org/publishers/iece/

Copyright © 2024 Institute of Emerging and Computer Engineers Inc.