Announcements

  • Call for Papers -- Lightweight AI Algorithms for Real-Time Data Mining in Edge Computing Environments

    2025-03-11

    We welcome contributions from a variety of fields and viewpoints, such as but not limited to: Lightweight AI Algorithms for Real-Time Data Mining in Edge Computing Environments.

    Guest Editors:
    Dr. Jawad Khan, Gachon University, Seongnam, South Korea
    Dr. Muhammad Hameed Siddiqi, Jouf University, Sakaka, Aljouf, Saudi Arabia
    Dr. Tariq Rahim, Kingston University, Kingston, England
    Dr. Shah Khalid, National University of Sciences & Technology, Islamabad, Pakistan

    Tentative Timeline:
    Manuscript Submissions Due: May 15, 2025
    First Round of Reviews Completed: July 20, 2025
    Revised Manuscripts Due: September 18, 2025
    Second Round of Reviews Completed: November 22, 2025
    Final Manuscripts Due: January 10, 2026

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  • Cal for Papers -- Insights of Crowdsourcing and Swarm Intelligence of AI Techniques to Software Testing

    2024-12-18

    This special issue comes from the emergence of interest in testing AI applications and applying AI technologies to software testing. With the help of new concepts, techniques, methodologies, and modeling techniques, we solidify our understanding of the field while also working to improve processes with new tools and resources. This conference offers an international organization for practitioners and researchers to exchange cutting-edge research results. The conference accepts domains of the best practices in the field, the difficulties for both practitioners and researchers, and papers providing original research on AI testing.

    Guest Editors:
    Dr. Faheem Khan, Department of Computer Engineering, Gachon University, Seongnam, South Korea
    Dr. Umme Laila, Computer Engineering Department, Sir Syed University of Engineering & Technology, Karachi, Pakistan
    Dr. Muhammad Adnan Khan, Riphah International University, Pakistan

    Manuscript Submission – Key Dates:
    Submission Deadline: 28th April, 2025
    Author Notification: 20th June, 2025
    Revision and Re-submission Deadline: 25th August, 2025
    Paper Acceptance:   28th November, 2025

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  • Call for Papers -- Application of Big Data in Optimizing Algorithms for Social Network

    2024-11-26

    Social media network is a marketing technique that enables advertisers to reach specific groups of users on social media platforms. This is achieved by using various data points to create an ideal customer profile and then displaying ads to users who match that profile. The rise of big data is driven by the increasing use of technology and the proliferation of data sources such as social media, the Internet of Things (IoT), and sensor networks. By analysing big data, organizations can obtain valuable insights into customer behaviour, market trends, operational efficiency, and more. This information can be used to make better decisions, improve processes, and develop new products and services. Big data is being used in various industries, such as the government sector, education, healthcare, media and entertainment, weather forecasting, transportation, banking, and more. Big data is a game-changer in social network ad targeting, enabling more precise audience identification, personalized ad experiences, and continuous optimization. Nevertheless, it is vital to use this technology ethically and responsibly, respecting user privacy and avoiding discriminatory services.

    Guest Editors:
    Dr. Abdul Aziz, Universidad de Zaragoza, Zaragoza, Spain
    Dr. Moiz Khan Sherwani, University of Copenhagen, Denmark
    Dr. Waseem Akram, Khalifa University, UAE

    Tentative Dates:
    Submission Deadline: 31 March 2025
    Authors Notification: 25 June 2025
    Revised Version Submission: 25 August 2025
    Final Decision Notification: 05 October 2025

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  • Call for Papers -- Parallel and Distributed Computing Architectures for Large Scale Natural Language Processing Tasks

    2024-08-23

    The scalability of the distributed language processing design offered in this special issue leverages the storm to integrate the NLP modules into a processing cascade that performs the linguistic assessment of the materials. Designing systems that can execute distributed programmes in parallel across massive machine clusters is necessary for scalability. By combining several NLP modules into a single processing chain with the design described here, it is feasible to install the language-processing components concurrently on a cluster of computers in a distributed environment. Other than being able to make and consume language annotations in a predetermined format, the NLP modules are not restricted in any way.

    Guest Editors:
    Prof. Norma Binti Alias (MGE), Faculty of Science, Universiti Teknologi Malaysia, Johor, Malaysia
    Prof. Fiza Zafar (CGE), Centre for Advanced Studies in Pure and Applied Mathematics, Bahauddin Zakariya University, Multan, Pakistan
    Prof. Fairouz Tchier (CGE), Mathematics Department, College of Science, King Saud University, Saudi Arabia

    Important Dates:
    Submission Deadline: February 28, 2025
    Notification to Author: April 30, 2025
    Revised Version Submission: June 15, 2025
    Final Acceptance: August 25, 2025

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