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pro vyhledávání: '"Liu, Yanyu"'
A multiagent sequential decision problem has been seen in many critical applications including urban transportation, autonomous driving cars, military operations, etc. Its widely known solution, namely multiagent reinforcement learning, has evolved t
Externí odkaz:
http://arxiv.org/abs/2410.20954
Autor:
Ding, Zhaisheng, Li, Haiyan, Hou, Ruichao, Liu, Yanyu, Xie, Shidong, Zhou, Dongming, Cao, Jinde
Learning robust multi-modal feature representations is critical for boosting tracking performance. To this end, we propose a novel X Modality Assisting Network (X-Net) to shed light on the impact of the fusion paradigm by decoupling the visual object
Externí odkaz:
http://arxiv.org/abs/2312.17273
The discovery of metals as catalytic centers for nitrogen reduction reactions has stimulated great enthusiasm for single-atom catalysts. However, the poor activity and low selectivity of available SACs are far away from the industrial requirement. Th
Externí odkaz:
http://arxiv.org/abs/2207.05283
Publikováno v:
In Applied Surface Science 30 October 2024 671
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In Vacuum October 2024 228
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In International Journal of Hydrogen Energy 19 September 2024 83:784-791
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In Ceramics International 15 September 2024 50(18) Part A:32922-32929
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In Measurement January 2025 242 Part D
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In Journal of Energy Chemistry December 2024 99:636-644
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In International Journal of Hydrogen Energy 28 May 2024 68:688-695