Abstract: The prediction of lung cancer is crucial for early diagnosis as it significantly improves survival rates and reduces treatment costs. Recent advances in machine learning (ML) and deep ...
Methods: The PubMed, Web of Science, and Scopus databases were systematically searched for studies comparing academic outcomes between the FC and traditional learning approaches in medical education.
Results on 11 reasoning models with 16k token budgets. "Acc" denotes accuracy, "Tok" denotes token count, and "CR" denotes compression rate. Experimental results presented in bar charts.
Abstract: The sensor-based activity of daily living recognition (ADLR) has demonstrated exceptional performance across a wide array of applications. However, prevailing ADLR models predominantly ...
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