European Journals of Emerging Computer Vision and Natural Language Processing
A-Z Journals

About the Journal

About Us

The European Journal of Emerging Computer Vision and Natural Language Processing (EJECVNLP) is an international, peer-reviewed, open-access scholarly journal dedicated to advancing cutting-edge research in computer vision, natural language processing, and artificial intelligence. Published under the distinguished Parthenon Frontiers Publishing House, the journal provides a premier platform for academicians, researchers, engineers, developers, and industry professionals to publish high-impact research that fuels innovation in visual intelligence, language technologies, and cognitive computing.

As AI-driven systems continue to transform industries, science, and society, EJECVNLP focuses on disseminating groundbreaking research, emerging techniques, and practical applications that bridge human-machine communication, perception, and understanding.

Vision

To be a leading European and global publication that drives breakthroughs in computer vision and natural language processing while fostering ethical, trustworthy, and human-centric AI research.

Mission

  • To publish high-quality and innovative research in computer vision and NLP

  • To support interdisciplinary advancements across AI, deep learning, and cognitive computing

  • To promote ethical AI standards, responsible innovation, and transparent research practices

  • To provide open-access knowledge for the global AI research community

  • To strengthen collaboration between academia, industry, startups, and research labs

What We Publish

EJECVNLP welcomes contributions including:

  • Original Research Articles

  • Technical and Methodology Papers

  • Survey & Systematic Review Papers

  • Algorithmic and Model Development Studies

  • Application-based Research and Case Studies

  • Short Communications & Emerging Concepts

  • Perspective, Opinion, and Visionary Articles

Key Areas of Interest

Computer Vision

  • Image & Video Processing

  • Object Detection & Recognition

  • 3D Vision, Depth Estimation & Scene Understanding

  • Facial Recognition & Human-Computer Interaction

  • Visual Tracking & Motion Analysis

  • Vision Transformers & Advanced Neural Vision Models

  • Medical and Industrial Computer Vision Applications

Natural Language Processing

  • Large Language Models & Generative AI

  • Text Mining, Information Retrieval & Knowledge Extraction

  • Speech Recognition & Language Understanding

  • Machine Translation & Multilingual NLP

  • Conversational AI, Chatbots & Dialogue Systems

  • Sentiment Analysis & Social Media Analytics

  • Responsible NLP & Explainable Language Models

Cross-Domain & Emerging Areas

  • Multimodal AI (Vision + Language)

  • Zero-shot, Few-shot, & Self-Supervised Learning

  • Reinforcement Learning for Vision & Language Systems

  • AI in Robotics, Smart Cities & Automation

  • Ethical AI, Fairness & Trustworthy Machine Learning

Editorial & Ethical Standards

EJECVNLP follows:

  • Double-blind peer-review process

  • COPE-aligned ethical publishing principles

  • An international editorial and reviewer board

  • DOI assignment & indexing initiatives

  • Transparent and efficient publication workflow

We are committed to ensuring research integrity, innovation quality, and global accessibility.

Join Our Research Community

We invite AI researchers, data scientists, academic institutions, industry innovators, and emerging scholars worldwide to publish with EJECVNLP and contribute to advancing the science of visual perception, language intelligence, and next-generation AI systems.