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This article describes how the “Faster Objects More Objects” (FOMO) machine learning algorithm was trained on a new balanced e-waste dataset and deployed on an Arduino Nano 33 BLE Sense to localize ...
Smart healthcare uses technology such as wearable devices and the Internet of Things to dynamically retrieve/access information, which is important for people who require continuous monitoring, that ...
In this study, we introduce the MOFsyn agent, an AI-driven framework that harnesses large language models (LLMs) for MOF synthesis optimization. This system integrates data automatic analysis, ...