About the Journal

Journal of Intelligent IoT and AI Systems (JIIAS), published under the brand IoT-DashNet, is an international, peer-reviewed, open-access journal dedicated to advancing research and innovation at the intersection of the Internet of Things (IoT) and Artificial Intelligence (AI). The journal provides a platform for researchers, engineers, practitioners, clinicians, and industry professionals to exchange cutting-edge knowledge, explore emerging applications, and address the challenges of integrating intelligent algorithms with connected devices, networks, and systems.

The name DashNet reflects our vision of a Dynamic Network for Data, AI, Systems, and Hardware. It symbolizes both the speed of innovation ("dash") and the power of interconnectedness ("net") across diverse domains. JIIAS therefore serves as a bridge between academic research and real-world applications, fostering collaboration across computer science, engineering, medicine, data science, and interdisciplinary fields.

The scope of JIIAS covers, but is not limited to:

  • Intelligent IoT architectures, frameworks, and platforms

  • Machine learning, deep learning, and neural networks for IoT

  • Smart cities, healthcare, and industrial IoT applications

  • Medical informatics, digital health, wearable sensors, and AI in healthcare systems

  • Edge computing, cloud integration, and cyber-physical systems

  • Security, privacy, and trust in IoT and AI ecosystems

  • Emerging paradigms such as AIoT, digital twins, biomedical signal processing, and autonomous systems

  • Innovative technological projects, prototypes, and applied solutions that demonstrate the practical impact of IoT and AI in industries, healthcare, and society

Our mission is to publish high-quality original research articles, review papers, case studies, technical notes, and technology-driven project reports that push the boundaries of knowledge and contribute to shaping the future of intelligent, connected, and AI-driven systems. JIIAS particularly welcomes works that combine theoretical insights with practical innovations, offering value both to academia and to industry.