Aims and Scope
Aims and Scope — International Journal of Artificial Intelligence, Systems and Virtual Modeling (IJASVM)
Aims. IJASVM publishes original research that takes artificial intelligence and systems techniques out of the theoretical and into working, evaluated implementations. We're less interested in incremental architecture tweaks and more interested in research that builds, deploys, and evaluates a system end-to-end — showing not just that a model works, but that it works on a real task, with real data, and real constraints.
Scope. The journal covers:
- Applied machine learning and deep learning systems
- Computer vision, object detection, and image recognition
- Intelligent automation and AI-driven decision systems
- Virtual and simulation-based modeling
- Human-AI interaction systems (recognition, proctoring, conversational agents)
- AI applications in domains such as transportation, education, agriculture, and healthcare
- Systems engineering and integration of AI components into larger pipelines
- Web- and cloud-based deployment of AI/ML systems
Article types. Original research, applied systems/case studies, and critical reviews.
Audience. AI researchers, systems engineers, computer scientists, and practitioners building applied intelligent systems across academic and industry settings.
