Technical Reports in Artificial Intelligence and Cyber-Physical Engineering is a diamond open access, peer-reviewed journal that publishes application-oriented research, technical developments, and case studies at the intersection of AI, data-driven methods, and cyber-physical systems. The journal emphasizes implemented or implementable solutions, validated with experiments, simulations, or real-world deployments, and documented with sufficient detail for replication and practical reuse.
Areas of interest include, but are not limited to: artificial intelligence engineering, machine learning and deep learning for engineering systems, data engineering and analytics pipelines, cyber-physical systems architectures, Internet of Things (IoT) platforms, embedded and edge AI, autonomous and connected systems, digital twins, cloud and distributed control, safety and security of CPS, and integrated AI workflows for monitoring, prediction, optimization, and decision support in engineered systems.
