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Quarterly Journal of Emerging Technologies and Innovations

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Published

2024-04-29

Issue

Vol. 9 No. 2 (2024): QJETI-APRIL-JULY

Section

Articles

How to Cite

Adi Santoso, & Yusuf Surya. (2024). Maximizing Decision Efficiency with Edge-Based AI Systems: Advanced Strategies for Real-Time Processing, Scalability, and Autonomous Intelligence in Distributed Environments. Quarterly Journal of Emerging Technologies and Innovations, 9(2), 104–132. Retrieved from https://vectoral.org/index.php/QJETI/article/view/144

Maximizing Decision Efficiency with Edge-Based AI Systems: Advanced Strategies for Real-Time Processing, Scalability, and Autonomous Intelligence in Distributed Environments

Adi Santoso

Department of Computer Science, Universitas Indonesia

Yusuf Surya

Department of Computer Science, Universitas Sebelas Maret

Keywords: Edge Computing,, Artificial Intelligence, Machine Learning, TensorFlow

Abstract

This research explores the potential of edge-based AI systems to enhance decision efficiency, addressing the limitations of traditional centralized AI architectures. By processing data locally on edge devices, such as smartphones and IoT sensors, edge-based AI reduces latency, minimizes bandwidth requirements, and improves privacy and security. The study investigates the design principles, implementation strategies, and performance characteristics of edge-based AI through comprehensive literature reviews and comparative analyses. Empirical studies and case examples from domains like autonomous driving and healthcare demonstrate the advantages of edge-based AI in real-world scenarios, showing significant improvements in latency, accuracy, and scalability. The research also identifies challenges such as power consumption and integration complexities, providing practical insights and recommendations for effective deployment. The findings suggest that edge-based AI systems not only maximize decision efficiency but also offer robust, scalable, and secure solutions for modern AI applications.

Author Biography

Yusuf Surya, Department of Computer Science, Universitas Sebelas Maret

 

 

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Submission Guidelines for the Journal of Quarterly Journal of Emerging Technologies and Innovations (QJETI) General Guidelines:

  1. Article Types: We accept a variety of article types including Original Research Articles, Review Papers, Short Reports, and Opinion Pieces.

  2. Language: Manuscripts must be written in English, and should be clear, concise, and free of jargon.

  3. Length: There is no strict word limit, but Original Research Articles should generally be between 4,000 and 10,000 words, including references.

  4. Formatting: Manuscripts should be submitted as a single Word or LaTeX document, formatted in double-spaced 12-point font.

  5. Abstract: An abstract of 250-300 words is required for all submissions, summarizing the key objectives, methods, findings, and implications of the research.

Manuscript Structure:

  • Title Page: Must include the title, author names, affiliations, and contact information for the corresponding author.

  • Introduction: Provide background, state the problem, and outline objectives.

  • Methods: Detail the methods and tools used in your research.

  • Results: Present the findings of your study.

  • Discussion: Interpret results, discuss their impact, and suggest future research directions.

  • Conclusion: Summarize the main points of the paper.

  • References: Citations should be formatted according to the IEEE/APA style.

Ethical Guidelines:

Authors must ensure that their research adheres to ethical standards and that informed consent has been obtained for any human or animal subjects involved.

Plagiarism:

The Journal of Computational Social Dynamics uses plagiarism detection software. Any manuscript found to include plagiarized content will be rejected.

Peer Review Process:

All submissions undergo a double-blind peer review process. Authors can expect initial feedback within six to eight weeks.

Submission Process:
  1. Prepare your manuscript according to the guidelines.
  2. Submit your manuscript through our online portal.
  3. After submission, you will receive a confirmation email with a manuscript ID for tracking purposes.
Revisions:

If revisions are requested, authors must resubmit the revised manuscript within the specified timeframe.

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The journal has a nominal publication fee, waived for authors who lack funding. Details are available on our website.

For any questions or concerns, please contact the editorial office at editorial@vectoral.org. Thank you for considering QJETI as a venue for your research.

Published by Vectoral Publishing, the Quarterly Journal of Emerging Technologies and Innovations maintains high standards in peer-review and scientific inquiry. Authors who wish to submit manuscripts should adhere to the guidelines detailed on our website, www.vectoral.org/QJETI. Vectoral Publishing does not bear any responsibility for the accuracy of information or for any outcomes related to the use of the research published. For editorial correspondence and submissions, please reach out to editorial@vectoral.org.

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