European Journal of AI, Computing & Informatics (EJACI)
European Journal of AI, Computing & Informatics (EJACI) is a leading international journal dedicated to the advancement of research and development in the fields of artificial intelligence, computing, and informatics. The journal publishes original research articles, reviews, and technical papers that address the challenges, methodologies, and innovations in these rapidly evolving areas. It provides a platform for interdisciplinary collaboration and knowledge sharing among researchers, practitioners, and educators from diverse domains, contributing to the global scientific community's understanding of AI and its applications in computing and informatics.
Aims & Scope
Aims
- To advance research and development in the fields of artificial intelligence, computing, and informatics by publishing original research articles, reviews, and technical papers addressing challenges, methodologies, and innovations in these rapidly evolving areas.
- To provide a platform for interdisciplinary collaboration and knowledge sharing among researchers, practitioners, and educators from diverse domains, contributing to the global scientific community's understanding of AI and its applications in computing and informatics.
- To foster the exchange of ideas and best practices in AI, computing, and informatics, supporting the translation of theoretical advances into real-world solutions.
- To promote high-quality, peer-reviewed research that drives innovation and addresses critical challenges in AI, computing, and informatics worldwide.
Scope
The journal covers a wide range of topics related to artificial intelligence, computing, and informatics, including but not limited to:
Artificial Intelligence and Machine Learning
- Machine learning and deep learning, including supervised/unsupervised learning, neural networks, reinforcement learning, and generative AI
- Natural language processing and computer vision, including text analysis, speech recognition, image/video processing, and multimodal AI systems
- AI ethics, fairness, and governance, including responsible AI, bias mitigation, transparency, and ethical frameworks for AI systems
- AI applications in diverse domains, including healthcare, finance, education, robotics, and smart city technologies
Computing and Informatics Systems
- Advanced computing architectures, including cloud computing, edge computing, parallel processing, and quantum computing fundamentals
- Data science and big data analytics, including data mining, data warehousing, statistical analysis, and predictive modeling
- Cybersecurity and information systems, including network security, cryptography, privacy-preserving computing, and secure system design
- Software engineering and intelligent systems, including AI-driven software development, software testing, and adaptive intelligent applications