AI RESEARCH
Information Density as a Quantitative Measure for AI-enabled Virtual Sensing: Feasibility and Limits
arXiv CS.AI
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ArXi:2605.08180v1 Announce Type: cross Modern IoT and sensor networks generate vast amounts of data, posing significant challenges for storage, transmission, and real-time processing. Traditional approaches, such as compressive sensing and machine learning-based compression, often suffer from computational inefficiencies and irreversible data loss. This paper