Archives

  • Vol. 1 No. 1 (2024)

    Welcome to the latest issue of the International Journal of Emerging Technologies and Advanced Applications (IJETAA). Our newest edition showcases a collection of five exceptional articles at the forefront of technology and innovation. Each piece represents a significant contribution to the fields of knowledge graph construction, entity and relation extraction, automatic text labeling, network planning and design, and protocol entity extraction. These studies reflect the cutting-edge research and development efforts that define and drive the future of emerging technologies and their applications in various domains.

    In this issue, you will find insightful research on:

    • The construction of knowledge graphs for RFC protocols, offering a novel model that significantly improves the understanding and management of complex technical specifications.
    • Advanced techniques for the joint extraction of entities and relations, utilizing multi-feature fusion to enhance information extraction processes.
    • Innovative approaches to automatic text labeling with large language models, paving the way for more efficient and accurate data categorization.
    • Strategic planning and design of university campus networks using GPON technology, providing a blueprint for next-generation network infrastructure.
    • The application of few-shot learning in network protocol entity extraction, addressing the challenges of analyzing protocols with limited data.

    These articles embody our commitment to disseminating research that not only advances the theoretical landscape but also offers practical solutions to contemporary challenges. We invite academics, professionals, and enthusiasts alike to explore the insights and innovations presented in this issue. Join us in navigating the exciting possibilities that lie at the intersection of technology and application.

    Dive into our current issue to discover the latest contributions to the ever-evolving world of emerging technologies.

  • Vol. 1 No. 2 (2024)

    We are delighted to present to you the second issue of the IJETAA. This issue encapsulates a diverse range of research articles that delve into cutting-edge advancements in various domains of analytics and artificial intelligence.

    In this issue, we feature five insightful articles that contribute significantly to the advancement of analytical methodologies and applications:

    1. Spatial Distribution Analysis of Urban Retail Industry Using POI Big Data: This article explores the spatial distribution patterns of urban retail industries by leveraging Point of Interest (POI) big data. The research sheds light on the dynamics of retail establishments in urban environments, offering valuable insights for urban planners and businesses alike.

    2. YOLOLayout: Multi-Scale Cross Fusion Former for Document Layout Analysis: Presenting YOLOLayout, a novel approach for document layout analysis that utilizes a multi-scale cross fusion former. This research addresses the challenge of accurately extracting structural information from diverse document layouts, thereby facilitating automated document processing systems.

    3. Joint Information Extraction Model Based on Feature Sharing: Introducing a joint information extraction model that leverages feature sharing to enhance performance. This model demonstrates the efficacy of collaborative learning in information extraction tasks, paving the way for improved text mining and knowledge discovery.

    4. Interpretable DeepFake Detection Based on Frequency Spatial Transformer: Delving into the realm of deepfake detection, this article proposes an interpretable approach based on a frequency spatial transformer. By analyzing frequency-based features, the proposed method enhances the interpretability of deepfake detection models, thus bolstering trust and reliability in content authentication systems.

    5. Prompt Optimization Methods for Large Language Models with Long Text Input: Addressing the challenges associated with large language models and long text inputs, this research presents prompt optimization methods to improve model performance. By optimizing prompts for specific tasks and inputs, this approach enhances the effectiveness and efficiency of large language models in diverse applications.

    Each of these articles contributes to the growing body of knowledge in advanced analytics and artificial intelligence, offering innovative solutions to real-world challenges. We extend our gratitude to the authors for their valuable contributions and to our reviewers for their meticulous evaluation.

    We hope that the articles featured in this issue will inspire further research and spark meaningful discussions in the field of advanced analytics. We invite you to delve into the depth of knowledge presented in these articles and explore the possibilities they unfold.

  • Vol. 1 No. 3 (2024)

    In this third issue of the IJETAA, we present a diverse collection of research articles and reviews spanning robotics, computer vision, intelligent systems, blockchain technology, and warehouse management.

    In the research section, we explore an improved ant colony algorithm for mobile robot path planning, a multi-view approach to video object-level splicing localization, the development and application of a large model-based intelligent customer service system, and a case study on optimizing hotel financial processes using blockchain technology at T Group.

    Our review article delves into the latest advancements in warehouse management information system technology, providing valuable insights for professionals in the field.

    These articles showcase the breadth and depth of research being conducted in the areas of emerging technologies and their applications across various industries. We hope that this issue will inspire further research and innovation in these exciting fields.