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Employing multimodal co-learning to evaluate the robustness of sensor fusion for industry 5.0 tasks

Research article (Soft Computing, 2022) · cited 35× · AI/ML
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Employing multimodal co-learning to evaluate the robustness of sensor fusion for industry 5.0 tasks

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Employing multimodal co-learning to evaluate the robustness of sensor fusion for industry 5.0 tasks is a scholarly article[1].

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  • Employing multimodal co-learning to evaluate the robustness of sensor fusion for industry 5.0 tasks's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Employing multimodal co-learning to evaluate the robustness of sensor fusion for industry 5.0 tasks. Retrieved May 24, 2026, from https://4ort.xyz/entity/employing-multimodal-co-learning-to-evaluate-the-robustness-of-sensor-fusion-for-industry-5-0-tasks
MLA “Employing multimodal co-learning to evaluate the robustness of sensor fusion for industry 5.0 tasks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/employing-multimodal-co-learning-to-evaluate-the-robustness-of-sensor-fusion-for-industry-5-0-tasks.
BibTeX @misc{4ortxyz_employing-multimodal-co-learning-to-evaluate-the-robustness-of-sensor-fusion-for-industry-5-0-tasks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Employing multimodal co-learning to evaluate the robustness of sensor fusion for industry 5.0 tasks}}, year = {2026}, url = {https://4ort.xyz/entity/employing-multimodal-co-learning-to-evaluate-the-robustness-of-sensor-fusion-for-industry-5-0-tasks}, note = {Accessed: 2026-05-24}}
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