Probability Distribution Methods to Predict Stock Profits

Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn ...
Nature

The properties of high-dimensional data spaces: implications for exploring gene and protein expression data

The application of several high-throughput genomic and proteomic technologies to address questions in cancer diagnosis, prognosis and prediction generate high-dimensional data sets. The multimodality ...
IEEE

Layer Normalization Enhanced Geometric Feature Fitting Neural Network for Flush Air Data Sensing

Abstract: The flush air data sensing (FADS) method based on artificial neural networks (ANNs) has been widely studied and applied in air data sensing for advanced aircraft. Most current methods focus ...
IEEE

Developing a Geometric Logistics Network for Efficient Goods Distribution in Prague

Abstract: This paper presents a geometric logistics network model for Prague, Czech Republic, aimed at optimizing urban goods distribution. It evaluates the city's urban structure and demographics to ...