Aims and Scope

Integrated Intelligent Systems aims to provide a premier interdisciplinary platform for researchers, engineers, and practitioners to share their latest advancements in the design and application of intelligent systems that integrate multiple computational paradigms. The journal welcomes original research articles, reviews, and case studies that explore the convergence of artificial intelligence (AI), machine learning (ML), robotics, embedded systems, and human-computer interaction to build systems with enhanced autonomy, adaptability, and decision-making capabilities.

Key areas of interest include, but are not limited to:

• Hybrid and integrated AI systems

• Machine learning applications in intelligent systems

• Intelligent cybersecurity and phishing detection

• Multi-agent and autonomous systems

• Human-in-the-loop and cognitive computing frameworks

• Smart sensing and perception technologies

• Edge and cloud intelligence

• Intelligent control and decision support systems

• Cross-domain applications in healthcare, finance, transportation, education, and IoT

The journal encourages submissions that demonstrate strong integration of methods and technologies, theoretical contributions, and/or real-world implementations that push the boundaries of intelligent system design.