NARCOLEPSY: AN INTERFACE AMONG NEUROLOGY, IMMUNOLOGY, SLEEP, AND GENETICS



High-Precision Debris Flow Scale Prediction Model Based on CIHHO Algorithm Combined With Multilayer Perceptron Neural Network

This study focuses on improving the precision and global search capabilities of the Harris Hawk Optimization algorithm when dealing with debris flow disasters.The enhanced algorithm, called Cubic map Improved Harris Hawk Optimization (CIHHO), incorporates a BP neural network and integrates Grey relational analysis and Spearman correlation analysis

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Influential Gene Selection From High-Dimensional Genomic Data Using a Bio-Inspired Algorithm Wrapped Broad Learning System

The classification of high dimensional gene expression/ microarray data always plays an important role in various disease diagnoses and drug discovery.To avoid the curse of high dimensionality, the selection of the most influential genes remains a challenging task for the researchers in the machine learning field.As the extraction of influential fe

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Influential Gene Selection From High-Dimensional Genomic Data Using a Bio-Inspired Algorithm Wrapped Broad Learning System

The classification of high dimensional gene expression/ microarray data always plays an important role in various disease diagnoses and drug discovery.To avoid the curse of high dimensionality, the selection of the most influential genes remains a challenging task for the researchers in the machine learning field.As the extraction of influential fe

read more