About the Journal
The Journal of Cyber-Physical-Social Intelligence publishes studies on cross-cutting, fundamental scientific research and engineering development that underpin the integration of cyber, physical, and social elements across all application domains. The journal emphasizes advancements in automation and autonomy achieved through incorporating artificial intelligence into cyber-physical-social systems to enhance the seamless integration of physical components and computation with human-in- or human-on-the-loop.
Current Issue
This issue focuses on innovative approaches in cyber-physical-social intelligence, highlighting advancements in optimization, machine learning, and control strategies. The featured studies address challenges in industrial automation, biometric authentication, image processing, and supply chain management. Topics include optimization algorithms for disassembly line balancing, generative adversarial networks for cross-modality adaptation, diffusion models for image inpainting, and robust predictive control for resilient supply chains. These works contribute to the development of intelligent and efficient systems, enhancing performance, adaptability, and decision-making across various domains.
