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.
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.
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
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
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
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
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
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.
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.
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