Aim & Scope
The International Journal of Artificial Intelligence, Systems and Virtual Modeling (IJASVM) is a peer-reviewed, open-access journal covering applied artificial intelligence, intelligent systems, and virtual and simulation-based modeling. We publish original research that takes AI and systems techniques out of theory and into working, evaluated implementations: detection systems, recognition frameworks, simulation environments and applied deep learning across real-world domains.
Our focus is deliberately applied. We are less interested in incremental architecture tweaks and more interested in work 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
We welcome original research articles, reviews, short communications and case-based studies in areas including:
- 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 transportation, education, agriculture and healthcare
- Systems engineering and integration of AI components into larger pipelines
- Web- and cloud-based deployment of AI and ML systems
Not sure whether your manuscript fits? Write to info@ijasvm.org with a short summary before you submit and the editors will tell you.
