About the Journal

Welcome to the "International Journal of Emerging Technologies and Advanced Applications(IJETAA)" which is indexed by Google Scholar. IJETAA is a premier platform dedicated to exploring the forefront of technological innovation and its multifaceted applications. Our journal serves as a confluence point for researchers, academics, and industry experts to share their insights and discoveries in the rapidly evolving domains of emerging technologies and advanced applications.

Editorial Board Vision and Mission

The editorial board of our journal is composed of distinguished experts from diverse backgrounds, united by their commitment to advancing knowledge and practical applications in emerging technologies. Our mission is to provide a rigorous,  forum for presenting groundbreaking research, fostering interdisciplinary dialogue, and highlighting the societal implications of new technologies.

Core Areas of Focus

Our journal encompasses a broad spectrum of topics, divided into three main categories:

  1. Emerging Technologies:

    • Artificial Intelligence and Machine Learning: Exploring the development of intelligent systems and their capabilities.
    • Robotics and Autonomous Systems: Delving into the design, operation, and integration of robotic technologies.
    • Internet of Things (IoT): Examining the interconnectedness of devices and their implications for daily life.
    • Nanotechnology: Investigating the manipulation of matter at an atomic or molecular scale.
    • Quantum Computing: Unveiling the potential of computing power based on quantum mechanics.
  2. Advanced Applications:

    • Healthcare and Biomedical Engineering: Merging technology with healthcare for improved medical solutions.
    • Smart Cities and Urban Planning: Utilizing technology for smarter, more efficient urban environments.
    • Renewable Energy and Sustainability: Advancing sustainable solutions for energy production and consumption.
    • Advanced Manufacturing and Industry 4.0: Revolutionizing manufacturing through automation and data exchange.
    • Cybersecurity and Data Privacy: Addressing the challenges and solutions in protecting digital information.
    • Advanced Applications in Education: From integrating AI in classrooms to leveraging data analytics for personalized learning, share how emerging technologies are reshaping education management.
    • Innovations in Financial Economy: Explore the impact of technologies like blockchain, fintech innovations, and cybersecurity measures on the dynamics of financial economies.
  3. Interdisciplinary Innovations:

    • AI in Healthcare: The integration of AI in medical diagnostics, treatment, and management.
    • Technology in Education: The role of emerging technologies in shaping educational methodologies.
    • Environmental Technology Solutions: Technology's role in addressing environmental challenges.
    • Ethical Implications and Societal Impact of Technology: Examining the broader impact of technological advancement on society.

Publication Types

Our journal welcomes a variety of contributions:

  • State-of-the-art Reviews: Comprehensive overviews of current trends and developments.
  • Opinion Pieces on Emerging Trends: Insightful discussions on the future trajectory of technology.
  • Case Studies of Technology Application: Practical examples of technology in action.
  • Future Directions and Challenges in Technology and Applications: Explorations of what lies ahead in the realm of technology.
  • Technical Reports and Short Communications: Brief reports on novel findings, methods, or tools, as well as updates to previous works.

Commitment to Excellence

The "International Journal of Emerging Technologies and Advanced Applications" is committed to upholding the highest standards of academic integrity and scientific rigor. Our editorial board ensures that each submission undergoes a thorough process, ensuring that only the most innovative and impactful research is published.

We invite researchers and practitioners from around the globe to contribute to our journal, helping to shape the future of technology and its application in society.


Call Papers


The "International Journal of Emerging Technologies and Advanced Applications" is excited to announce a call for papers for our upcoming issue. We are seeking original, high-quality research papers, reviews, and case studies that explore cutting-edge advancements and innovative applications in the fields of emerging technologies and their interdisciplinary impacts.

Read more about Call Papers

Current Issue

Vol. 1 No. 2 (2024)
					View 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.

Published: 2024-03-26

Research Articles

  • Spatial Distribution Analysis of Urban Retail Industry Using POI Big Data

    Hongwei Su, Maria Amelia E. Damian (Author)
    DOI: https://doi.org/10.62677/IJETAA.2402105
  • YOLOLayout: Multi-Scale Cross Fusion Former for Document Layout Analysis

    Zhangchi Gao, Shoubin Li (Author)
    DOI: https://doi.org/10.62677/IJETAA.2402106
  • Joint Information Extraction Model Based on Feature Sharing

    Zhangchi Gao, Shoubin Li (Author)
    DOI: https://doi.org/10.62677/IJETAA.2402107
  • Interpretable DeepFake Detection Based on Frequency Spatial Transformer

    Tao Luan, Guoqing Liang, Pengfei Peng (Author)
    DOI: https://doi.org/10.62677/IJETAA.2402108
  • Prompt Optimization Methods for Large Language Models with Long Text Input

    Yi Ren, Shoubin Li (Author)
    DOI: https://doi.org/10.62677/IJETAA.2402109
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