Big Data and Digital Economy
External reference: https://openalex.org/T14347
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LLM database tracks battery critical minerals supply chains AI-driven database automatically extracts supply chain relationships from multilingual news sources, processing 200,000+ reports to map 5,000+ companies in battery mineral production.
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Adaptive CPU frequency scaling for energy-efficient and sustainable edge computing under renewable energy uncertainty Deep reinforcement learning improves CPU frequency scaling for edge computing systems powered by renewable energy, reducing prediction error by 35% and optimizing the energy-latency tradeoff.
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MLOps optimizations for high-load recommendation systems Engineering optimization of MLOps processes for high-load recommendation systems integrating streaming features, parameter servers, and online training for latency and quality under scale.