Esa-Research

Journals

• European Advanced Journal for Science & Engineering (EAJSE) -p-ISSN 3050-9696 en e-ISSN 3050-970X

  The European Advanced Journal for Science & Engineering p-ISSN 3050-9696 en e-ISSN 3050-970X (EAJSE) is a peer-reviewed, open-access international journal committed to publishing high-quality research across all domains of science, technology, and engineering. With a mission to advance knowledge and innovation, the journal serves as a platform for researchers, academicians, and industry professionals to share groundbreaking discoveries, cutting-edge technologies, and practical applications in their respective fields.

  Scope of the Journal

  EAJSE welcomes original research articles, review papers, case studies, and short communications in the following areas:

  • Engineering & Technology

    • Mechanical, Electrical, Civil, Chemical, and Aerospace Engineering
    • Robotics and Automation
    • Artificial Intelligence and Machine Learning
    • Blockchain and Cybersecurity

  • Applied & Fundamental Sciences

    • Physics, Chemistry, and Material Science
    • Environmental Science and Renewable Energy
    • Biotechnology and Bioinformatics
    • Computational Sciences and Data Analytics

  • Interdisciplinary Research

    • Nanotechnology and Advanced Materials
    • Smart Cities and Sustainable Development
    • Internet of Things (IoT) and Smart Systems
    • Space Science and Quantum Computing

  Why Publish with EAJSE?

  • Rigorous Peer Review – All submissions undergo a double-blind peer-review process to ensure research quality and credibility.
  • Global Reach & Impact – Open access publishing ensures that research is widely accessible to scientists, professionals, and policymakers.
  • High Visibility – Indexed in major scientific databases to enhance discoverability.
  • Fast Processing & Publication – Committed to a timely and transparent editorial process.

  Editorial Board & Collaboration

  EAJSE is led by an expert panel of editors, reviewers, and advisors from leading universities and research institutions across Europe and beyond. The journal also collaborates with academic societies, industry partners, and government organizations to promote applied research and innovation.

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• European Advanced Journal for Emerging Technologies (EAJET) - p-ISSN 3050-9734 en e-ISSN 3050-9742

  The European Advanced Journal for Emerging Technologies (EAJET)  p-ISSN 3050-9734 en e-ISSN 3050-9742 is a peer-reviewed, open-access journal dedicated to publishing cutting-edge research in emerging and disruptive technologies. It serves as a platform for academicians, researchers, and industry professionals to bridge the gap between theoretical advancements and real-world applications.

  Scope of the Journal:

  EAJET publishes original research, review papers, case studies, and technical reports in areas including but not limited to:

  ✔ Artificial Intelligence (AI) & Machine Learning
  ✔ Blockchain & Decentralized Systems
  ✔ Internet of Things (IoT) & Smart Technologies
  ✔ Quantum Computing & Future Computing Paradigms
  ✔ Cybersecurity & Digital Privacy
  ✔ Next-Gen Engineering Solutions & Smart Infrastructure

  Key Features:

  ✅ High-Quality Peer-Reviewed Research
  ✅ Industry-Relevant Innovations & Case Studies
  ✅ Interdisciplinary & Multidisciplinary Approach
  ✅ Global Accessibility through Open Access Model

  Call for Papers:

  We invite researchers to submit their latest breakthrough studies and innovations in the field of emerging technologies.

   

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• European Journal of Analytics and Artificial Intelligence (EJAAI) p-ISSN 3050-9556 en e-ISSN 3050-9564

  The European Journal of Analytics and Artificial Intelligence (EJAAI) p-ISSN 3050-9556 en e-ISSN 3050-9564 is a premier, peer-reviewed, open-access journal dedicated to the advancement of research in analytics, artificial intelligence (AI), and their interdisciplinary applications. Our mission is to provide a high-quality platform for researchers, academicians, and industry professionals to share innovative ideas, pioneering research, and practical solutions that drive technological transformation across multiple domains.

  Scope and Focus

  EJAAI publishes original research articles, systematic reviews, case studies, and technical papers that explore the latest trends, theories, and real-world applications in analytics and AI. Our focus areas include, but are not limited to:

  • Artificial Intelligence & Machine Learning
  • Big Data Analytics & Business Intelligence
  • Deep Learning & Neural Networks
  • Natural Language Processing (NLP) & Speech Recognition
  • Computer Vision & Image Processing
  • Data Science & Predictive Analytics
  • Explainable AI & Ethical Considerations
  • AI in Healthcare, Finance, and Industry 4.0
  • Cloud Computing, Edge AI & IoT Analytics
  • Blockchain & AI-driven Security Solutions

  We welcome interdisciplinary research that integrates AI and analytics with fields such as engineering, medicine, finance, marketing, education, cybersecurity, and environmental sciences to develop innovative and practical solutions.

  Why Publish with EJAAI?

  • Rigorous Peer Review: We uphold high academic standards with an extensive peer-review process conducted by renowned experts.
  • Open Access: All published content is freely accessible, promoting knowledge-sharing and global collaboration.
  • Impact-Driven Research: We focus on studies that address real-world challenges and contribute to scientific progress and industry applications.
  • Rapid and Transparent Publication: We ensure efficient review timelines while maintaining the highest quality.

  For Authors and Researchers

  We invite scientists, engineers, AI practitioners, and industry experts to contribute their latest research to EJAAI. Our platform provides global visibility, constructive peer feedback, and a collaborative space for advancing AI and analytics research.

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• European Data Science Journal (EDSJ) p-ISSN 3050-9572 en e-ISSN 3050-9580

  Journal Description

  The European Data Science Journal (EDSJ) provides a scholarly avenue for high-quality, original research in data science and its applications. As an open-access publication, EDSJ promotes the global exchange of knowledge, enabling researchers, developers, and data practitioners to share their innovations in data acquisition, processing, modeling, analysis, visualization, and deployment.

  Key Areas of Focus:

  • Data Mining & Predictive Analytics

  • Machine Learning & Deep Learning

  • AI Ethics and Governance

  • Natural Language Processing

  • Data Engineering & Infrastructure

  • Big Data Technologies

  • Data Science Applications in Health, Finance, Energy, Education, and Social Sciences

  • Statistical and Computational Methods

  • Open Science and Data Transparency

  EDSJ embraces a rigorous peer-review process to ensure the quality and integrity of the work published. Our editorial board comprises leading scholars and industry professionals from across Europe and beyond, ensuring broad disciplinary representation and relevance.

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