About the Journal

Welcome to the Journal of Computing and Emerging Technologies, a cutting-edge journal dedicated to advancing the ever-evolving field of computer science. Our mission is to provide a platform for researchers, professionals, and enthusiasts to explore, discuss, and contribute to the latest breakthroughs shaping the digital landscape. In a world driven by data and innovation, our journal covers a wide array of trending topics that are revolutionizing industries and societies.

At the forefront of our focus are areas like artificial intelligence (AI) and machine learning (ML), where innovations in deep learning and neural networks are transforming everything from healthcare to autonomous systems. We delve into quantum computing, a rapidly emerging field with the potential to solve complex problems beyond the capabilities of classical computers. Additionally, our journal emphasizes advancements in cybersecurity, blockchain technology, and cryptography, ensuring privacy and data protection in an increasingly interconnected world.

We are also excited to explore the dynamic realms of natural language processing (NLP), cloud computing, and the growing influence of Internet of Things (IoT), where connected devices are reshaping everyday life. Moreover, we offer insight into the future of software engineering, computational biology, and augmented reality (AR), enabling innovation across various domains.

Join us in discovering the limitless possibilities of computer science as we navigate the path toward a smarter, more connected future.

Current Issue

Vol. 1 No. 1 (2026): Jan-Jun
Published: 2026-06-30

Articles

  • Execution Performance of Dijkstra’s Algorithm: A Cross-Language Analysis

    Muhammad Hamza, Hassan Raza
    1-22
    Abstract Views: 19   |   PDF Downloads: 16
    DOI: https://doi.org/10.58932/MULL0003

  • From Automation to Personalization: Evaluating AI's Influence on Educational Outcomes

    Mehroz khalid
    23-36
    Abstract Views: 18   |   PDF Downloads: 11
    DOI: https://doi.org/10.58932/MULL0004

  • Exploring Execution Time Patterns in Python Sorting Algorithms: A Statistical Approach

    Sammra Habib
    37-48
    Abstract Views: 17   |   PDF Downloads: 11
    DOI: https://doi.org/10.58932/MULL0005

  • Intelligent Attendance and Database Integration Using Facial Recognition

    Haroon ilyas
    49-59
    Abstract Views: 14   |   PDF Downloads: 10
    DOI: https://doi.org/10.58932/MULL0006

  • Fine-Tuning Open-Source LLMs for Social Good: The Case of Cyber Falcon in Cyberbullying Detection

    Hamza Ali
    60-70
    Abstract Views: 17   |   PDF Downloads: 13
    DOI: https://doi.org/10.58932/MULL0007

  • AI-Powered Cavity Detection: Leveraging Transfer Learning in Dental Images

    Nada Mehmood
    71-84
    Abstract Views: 21   |   PDF Downloads: 14
    DOI: https://doi.org/10.58932/MULL0008
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