Vol. 1 No. 1 (2022)

					View Vol. 1 No. 1 (2022)

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.

Published: 2022-12-01
  • CGAN-DA: A Cross-Modality Domain Adaptation Model for Hand-Vein Biometric-based Authentication

    DOI: https://doi.org/10.61702/YRMC5182
  • Discrete Bat Optimizer for Disassembly Line Balancing Problem

    DOI: https://doi.org/10.61702/TDNS2312
  • Designing a resilient supply chain through a robust adaptive model predictive control policy under perishable goods and uncertain forecast information

    DOI: https://doi.org/10.61702/HVMQ5712
  • Research on Aircraft image recognition based on transfer learning and improved YOLOv5 model

    DOI: https://doi.org/10.61702/GOPK6999
  • An Improved Adaptive Genetic Algorithm for U-shaped Disassembly Line Balancing Problem Subject to Area Resource Constraint

    DOI: https://doi.org/10.61702/ZLAS2069
  • A Diffusion Model with A FFT for Image Inpainting

    DOI: https://doi.org/10.61702/MTPG8588