About the Journal
The AI Engineering and Applications is a leading international, peer-reviewed publication dedicated to advancing scholarly research in the field of artificial intelligence. Our magazine provides a comprehensive forum for researchers, industry experts, and policymakers to share innovative ideas, cutting-edge methodologies, and practical solutions aimed at promoting the development and application of artificial intelligence systems.
Our mission is to bridge the gap between theoretical AI research and practical application by fostering an interdisciplinary dialogue that addresses critical global challenges such as technological innovation, intelligent decision-making, and human-machine collaboration. We publish a diverse range of contributions including original research articles, in-depth review papers, and detailed case studies that cover topics such as:
- Machine Learning: Development of novel algorithms, deep learning models, and statistical learning methods for data analysis, pattern recognition, and predictive modeling.
- Natural Language Processing: Advancements in language understanding, text generation, machine translation, and sentiment analysis to enable effective human-computer interaction.
- Graph Neural Networks: Innovations in graph representation learning, relational data modeling, and applications in social networks, recommendation systems, and bioinformatics.
- Intelligent Manufacturing: Integration of AI technologies to optimize production processes, enhance quality control, and realize autonomous manufacturing systems.
- Intelligent Optimization Algorithms: Design and application of metaheuristic algorithms, evolutionary computation, and swarm intelligence for solving complex optimization problems.
- Multimodality: Fusion of information from text, images, audio, and video to build comprehensive AI systems with enhanced perception and understanding capabilities.
To ensure the highest standards of academic excellence, our magazine employs a rigorous double-blind peer review process. Each submission is carefully evaluated by leading experts in the field of artificial intelligence, ensuring that published works are of outstanding quality and relevance. Our distinguished editorial board, comprising internationally recognized scholars and industry practitioners, plays a pivotal role in maintaining the integrity and scholarly merit of the magazine.
In line with our commitment to open science, the AI Engineering and Applications operates on a fully open access model. All published articles are made freely available online under the Creative Commons Attribution (CC BY) license. This approach not only facilitates broad dissemination and rapid uptake of research findings but also encourages the collaborative exchange of ideas across the global research community.
We are equally committed to ethical publishing practices. Our policies on copyright, conflict of interest, and sponsorship transparency are designed to uphold the integrity of the scholarly record. Authors retain the copyright to their work while granting the magazine a license to publish and distribute their research, ensuring that intellectual contributions are both protected and widely accessible.
Furthermore, recognizing the importance of long-term access to scholarly work, our magazine is integrated with established archival systems such as LOCKSS and CLOCKSS. This guarantees that our content remains permanently accessible and safeguarded for future generations of researchers.
Over the years, the AI Engineering and Applications has earned a reputation as an essential resource for those engaged in the pursuit of artificial intelligence innovation. We invite submissions from all those dedicated to advancing the frontiers of artificial intelligence research and application, and we look forward to fostering a dynamic and impactful community of scholars and practitioners dedicated to an intelligent future.
