About the Journal
EUSIVOR Artificial Intelligence Systems
EUSIVOR Artificial Intelligence Systems is a high-impact, peer-reviewed journal focused on the intersection of computational intelligence and physical implementation. While many journals focus solely on abstract algorithms, EAIS is dedicated to the systems—the architectural, industrial, and practical frameworks that allow AI to function in the real world.
Aims and Scope
The journal provides a premier platform for researchers and practitioners to explore the full lifecycle of intelligent systems. We emphasize the transition of AI from "code" to "complex system," focusing on reliability, scalability, and hardware integration.
Core research areas include:
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Industrial AI & Automation: Deep learning and neural networks applied to manufacturing, predictive maintenance, and supply chain optimization.
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Autonomous & Embedded Systems: Edge computing, robotics, and the integration of AI into physical hardware and sensor networks.
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Intelligent Logic & Decision Frameworks: Advances in SWOT analysis automation, marketing mix optimization, and strategic business intelligence.
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Data Systems & Analytics: Systematic analysis of industrial data, sector distributions, and unit price growth trends using machine learning.
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Human-AI Interaction: The ethics, safety, and interface design of systems that collaborate with human operators.
