确认 发表于 2025-3-26 21:22:12
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https://doi.org/10.1007/978-3-030-67365-9Open access; Urban studies; Global cities; Urban planning; Population mobility; migration and integrationAbrade 发表于 2025-3-27 16:51:48
Self-Supervised Learning from Unlabeled IoT Dataf training neural networks for edge AI applications. Training is a pre-requisite of all that comes next. The key training bottleneck in AI is traditionally the cost of data labeling. Unlabeled data are widely available in the IoT space, but labeling is expensive. This leads to the central question cincisive 发表于 2025-3-27 18:01:44
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