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A multimodal deep reinforcement learning approach for IoT-driven adaptive scheduling and robustness optimization in global logistics networks

Crossref DOI link: https://doi.org/10.1038/s41598-025-10512-1

Published Online: 2025-07-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

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