A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Immunoprecipitation-enhanced blood-based biomarkers are improving early diagnosis of Alzheimer’s disease by enabling more ...
AI & Society, states that algorithmic systems often construct competing but equally valid “model-worlds,” offering empirical support for a philosophical claim that evidence alone cannot uniquely ...
Abstract: This study presents the development and evaluation of an automated vegetable classification system using the VGG16 convolutional neural network model. The increasing demand for efficient and ...
Abstract: This study aims to compare the performance of five different models for spelling error detection, a crucial task in natural language processing. In this ...
Despite decades of independent progress in population ecology and movement ecology, researchers have lacked a theoretical bridge between these two disciplines. "Ecologists have been trying to ...
DNA methylation-based classification has improved central nervous system (CNS) tumor diagnostics, but pediatric data on real-world implementation remain limited. We evaluated two DNA methylation-based ...
While Punxsutawney Phil gets much of the national Groundhog Day spotlight, many of his weather-forecasting animal counterparts have proven much more accurate with their predictions. Across the U.S.
According to @godofprompt, the RTL model demonstrates a significant breakthrough by requiring 10x fewer parameters than independent models while delivering higher accuracy compared to single-mask ...
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