The Science and Information (SAI) Organization
  • Home
  • About Us
  • Journals
  • Conferences
  • Contact Us

Publication Links

  • IJACSA
  • Author Guidelines
  • Publication Policies
  • Digital Archiving Policy
  • Promote your Publication
  • Metadata Harvesting (OAI2)

IJACSA

  • About the Journal
  • Call for Papers
  • Editorial Board
  • Author Guidelines
  • Submit your Paper
  • Current Issue
  • Archives
  • Indexing
  • Fees/ APC
  • Reviewers
  • Apply as a Reviewer

IJARAI

  • About the Journal
  • Archives
  • Indexing & Archiving

Special Issues

  • Home
  • Archives
  • Proposals
  • Guest Editors
  • SUSAI-EE 2025
  • ICONS-BA 2025
  • IoT-BLOCK 2025

Future of Information and Communication Conference (FICC)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Computing Conference

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Intelligent Systems Conference (IntelliSys)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Future Technologies Conference (FTC)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact
  • Home
  • Call for Papers
  • Editorial Board
  • Guidelines
  • Submit
  • Current Issue
  • Archives
  • Indexing
  • Fees
  • Reviewers
  • Subscribe

DOI: 10.14569/IJACSA.2024.0151059
PDF

A Comprehensive Crucial Review of Re-Purposing DNN-Based Systems: Significance, Challenges, and Future Directions

Author 1: Yaser M Al-Hamzi
Author 2: Shamsul Bin Sahibuddin

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 15 Issue 10, 2024.

  • Abstract and Keywords
  • How to Cite this Article
  • {} BibTeX Source

Abstract: The fourth industrial revolution is marked by the significance of artificial intelligence (AI), particularly the remarkable progress in deep neural networks (DNNs). These networks have become crucial in various areas of daily life because of their remarkable pattern-learning capabilities on massive datasets. However, the incompatibility of these systems makes reutilizing them for efficient data analysis and computation highly intricate and challenging due to their fragmentation, internal structure, and complexity. Training in DNNs, a vital essential activity in model development, is often time-consuming and costly intensive computation. More precisely, reusing the entire model during deployment when only a small portion of its required features will result in excessive overhead. On the other hand, reengineering the model without efficient code review could also pose security risks as the model would inherit its defects and weaknesses. This paper comprehensively reviews DNN-based systems, encompassing cutting-edge frameworks, algorithms, and models for complex data and existent limitations. The study, which results from a thorough examination, analysis, and synthesis of observations from 193 recent scholarly papers, provides a wealth of knowledge on the subject, identifying key issues and future research directions by offering novel guidelines to advance the DNN model’s repurposing and adaptation, especially in finance, healthcare, and autonomous applications. The demonstrated findings, specifically those related to failure and risk challenges of DNN converters, including factors (n=12), symptoms (n1=4, n2=3), and root causes (n1=4, n2=3), will enrich the ML-DNNs community and guide them toward desirable model development and deployment improvement, with significant practical implications for intelligent industries.

Keywords: DNNs; DNN-based systems; significance and challenges; incompatibility; re-purposing; review

Yaser M Al-Hamzi and Shamsul Bin Sahibuddin, “A Comprehensive Crucial Review of Re-Purposing DNN-Based Systems: Significance, Challenges, and Future Directions” International Journal of Advanced Computer Science and Applications(IJACSA), 15(10), 2024. http://dx.doi.org/10.14569/IJACSA.2024.0151059

@article{Al-Hamzi2024,
title = {A Comprehensive Crucial Review of Re-Purposing DNN-Based Systems: Significance, Challenges, and Future Directions},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.0151059},
url = {http://dx.doi.org/10.14569/IJACSA.2024.0151059},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {10},
author = {Yaser M Al-Hamzi and Shamsul Bin Sahibuddin}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

IJACSA

Upcoming Conferences

IntelliSys 2025

28-29 August 2025

  • Amsterdam, The Netherlands

Future Technologies Conference 2025

6-7 November 2025

  • Munich, Germany

Healthcare Conference 2026

21-22 May 2026

  • Amsterdam, The Netherlands

Computing Conference 2026

9-10 July 2026

  • London, United Kingdom

IntelliSys 2026

3-4 September 2026

  • Amsterdam, The Netherlands

Computer Vision Conference 2026

15-16 October 2026

  • Berlin, Germany
The Science and Information (SAI) Organization
BACK TO TOP

Computer Science Journal

  • About the Journal
  • Call for Papers
  • Submit Paper
  • Indexing

Our Conferences

  • Computing Conference
  • Intelligent Systems Conference
  • Future Technologies Conference
  • Communication Conference

Help & Support

  • Contact Us
  • About Us
  • Terms and Conditions
  • Privacy Policy

© The Science and Information (SAI) Organization Limited. All rights reserved. Registered in England and Wales. Company Number 8933205. thesai.org