IECE - Institute of Emerging and Computer Engineers

  • Sign Up Log in
    Log in

    • -
    CiteScore
    -
    Impact Factor
    1. Home
    2. Journals
    3. IECE Transactions on Emerging Trends in Network Systems
    4. Volume 1, Issue 1
    Volume 1, Issue 1, IECE Transactions on Emerging Trends in Network Systems
    Volume 1, Issue 1, 2024
    Submit Manuscript Edit a Special Issue
    Academic Editor
    Abdur Rasool
    Abdur Rasool
    University of Hawaii at Manoa, USA
    Article QR Code
    Article QR Code
    Scan the QR code for reading
    Popular articles
    Research on A Ship Trajectory Classification Method Based on Deep Learning YOLOv7-Bw: A Dense Small Object Efficient Detector Based on Remote Sensing Image Deep Prediction Network Based on Covariance Intersection Fusion for Sensor Data A Mimic Fusion Algorithm for Dual Channel Video Based on Possibility Distribution Synthesis Theory Visual Feature Extraction and Tracking Method Based on Corner Flow Detection Bridging Modalities: A Survey of Cross-Modal Image-Text Retrieval Inaugural Editorial of the Chinese Journal of Information Fusion Simultaneous Spatiotemporal Bias Compensation and Data Fusion for Asynchronous Multisensor Systems YOLOv8-Lite: A Lightweight Object Detection Model for Real-time Autonomous Driving Systems Extraction of Motion Information from Occupancy Grid Map Using Keystone Transform
    IECE Transactions on Emerging Trends in Network Systems, 2024, Volume 1, Issue 1: 1-3

    Open Access | Editorial | 21 November 2024
    The Network Revolution: Trends and Innovations in Connected Technologies
    by
    IECE Author Inam Ullah 1 *
    1 Department of Computer Engineering, Gachon University, Seongnam 13120, Republic of Korea
    * Corresponding Author: Inam Ullah, [email protected]
    DOI: https://doi.org/10.62762/TETNS.2024.823469
    Received: 31 October 2024, Accepted: 18 November 2024, Published: 21 November 2024  
       PDF  (519.30 KB)
    Article Metrics Cite This Article
    Abstract
    With great excitement and a sense of profound responsibility, I welcome you to the inaugural IECE Transactions on Emerging Trends in Network Systems issue. This journal has been established as a leading platform for sharing cutting-edge research and innovative practices in network systems. We aim to bridge the gap between theory and practical application, enabling researchers, practitioners, and policymakers to collaborate and advance the rapidly evolving field of network technologies.
    Keywords
    network systems
    Funding
    This work was supported without any funding.
    Cite This Article
    APA Style
    Ullah, I. (2024). The Network Revolution: Trends and Innovations in Connected Technologies. IECE Transactions on Emerging Trends in Network Systems, 1(1), 1–3. https://doi.org/10.62762/TETNS.2024.823469
    References
    1. Gill, S. S., Tuli, S., Xu, M., Singh, I., Singh, K. V., Lindsay, D., ... & Garraghan, P. (2019). Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges. Internet of Things, 8, 100118.
      [Google Scholar]
    2. Nair, M. M., & Tyagi, A. K. (2023). AI, IoT, blockchain, and cloud computing: The necessity of the future. In Distributed Computing to Blockchain (pp. 189-206). Academic Press.
      [Google Scholar]
    3. Ullah, I., Noor, A., Nazir, S., Ali, F., Ghadi, Y. Y., & Aslam, N. (2024). Protecting IoT devices from security attacks using effective decision-making strategy of appropriate features. The Journal of Supercomputing, 80(5), 5870-5899.
      [Google Scholar]
    4. Javaid, N., Sher, A., Nasir, H., & Guizani, N. (2018). Intelligence in IoT-based 5G networks: Opportunities and challenges. IEEE Communications Magazine, 56(10), 94-100.
      [Google Scholar]
    5. Khan, M. N., Khalil, I., Ullah, I., Singh, S. K., Dhahbi, S., Khan, H., ... & Al-Khasawneh, M. A. (2024). Self-adaptive and content-based scheduling for reducing idle listening and overhearing in securing quantum IoT sensors. Internet of Things, 27, 101312.
      [Google Scholar]
    6. Javaid, M., Haleem, A., Singh, R. P., Rab, S., & Suman, R. (2021). Upgrading the manufacturing sector via applications of Industrial Internet of Things (IIoT). Sensors International, 2, 100129.
      [Google Scholar]
    7. 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.
      [Google Scholar]
    8. Pittaway, L., Robertson, M., Munir, K., Denyer, D., & Neely, A. (2004). Networking and innovation: a systematic review of the evidence. International journal of management reviews, 5(3-4), 137-168.
      [Google Scholar]
    9. Rane, N., Choudhary, S., & Rane, J. (2023). Blockchain and Artificial Intelligence (AI) integration for revolutionizing security and transparency in finance. Available at SSRN 4644253.
      [Google Scholar]
    10. Su, X., Ullah, I., Wang, M., & Choi, C. (2021). Blockchain-based system and methods for sensitive data transactions. IEEE Consumer Electronics Magazine.
      [Google Scholar]
    11. Pramanik, M. I., Lau, R. Y., Demirkan, H., & Azad, M. A. K. (2017). Smart health: Big data enabled health paradigm within smart cities. Expert Systems with Applications, 87, 370-383.
      [Google Scholar]
    12. Lee, J., Ni, J., Singh, J., Jiang, B., Azamfar, M., & Feng, J. (2020). Intelligent maintenance systems and predictive manufacturing. Journal of Manufacturing Science and Engineering, 142(11), 110805.
      [Google Scholar]
    13. Ali, B. S., Ullah, I., Al Shloul, T., Khan, I. A., Khan, I., Ghadi, Y. Y., ... & Hamam, H. (2024). ICS-IDS: application of big data analysis in AI-based intrusion detection systems to identify cyberattacks in ICS networks. The Journal of Supercomputing, 80(6), 7876-7905.
      [Google Scholar]
    14. Roman, R., Zhou, J., & Lopez, J. (2013). On the features and challenges of security and privacy in distributed internet of things. Computer networks, 57(10), 2266-2279.
      [Google Scholar]
    15. Leach, M., Stirling, A. C., & Scoones, I. (2010). Dynamic sustainabilities: technology, environment, social justice (p. 232). Taylor & Francis.
      [Google Scholar]
    16. Martin, K. (2019). Ethical implications and accountability of algorithms. Journal of business ethics, 160(4), 835-850.
      [Google Scholar]
    17. Cheong, B. C. (2024). Transparency and accountability in AI systems: Safeguarding wellbeing in the age of algorithmic decision-making. Frontiers in Human Dynamics, 6, 1421273.
      [Google Scholar]
    Article Metrics
    Citations:

    Google Scholar
    0

    Crossref

    0

    Scopus

    0

    Web of Science

    0
    Article Access Statistics:
    Views: 315
    PDF Downloads: 39
    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 IECE. 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 Emerging Trends in Network Systems

    IECE Transactions on Emerging Trends in Network 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.