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Green AI (Artificial Intelligence) and digitalization facilitate the “Dual-Carbon” goal of low-carbon, high-quality economic development. Green AI is moving from “cloud” to “edge” devices like TinyML, which supports devices from cameras to wearables, offering …
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The limited nature of fossil resources and their unsustainable characteristics have led to increased interest in renewable sources. However, significant work remains to be carried out to fully integrate these systems into existing power distribution networks, …
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Abstract—ScreamAlert is a TinyML-powered wearable system designed to detect acoustic emergency signals such as human screams in real time. Existing safety systems suffer from delayed response times due to manual reporting and insufficient acoustic intelligence…
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In the context of the Internet of Things (IoT), Tiny Machine Learning (TinyML) and Big Data, enhanced by Edge Artificial Intelligence, are essential for effectively managing the extensive data produced by numerous connected devices. Our study introduces a set …
openalex
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The coordinated integration of heterogeneous TinyML-enabled elements in highly distributed Internet of Things (IoT) environments paves the way for the development of truly intelligent and context-aware applications. In this work, we propose a hierarchical ense…
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Our physical and emotional well-being are directly impacted by our body positions. In addition to promoting a confident, upright image, maintaining good body posture during various activities also ensures that our musculoskeletal system is properly aligned. On…
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Modern Artificial Intelligence has been heavily influenced by a philosophy of scalability: larger models, deeper datasets, and the cost of computing skyrocketing. The centralized model that is most vividly illustrated with Hyper-scale data centres and Large La…
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