In order to adjust the models for predicting soil property results from the pXRF data, two methods were tested: stepwise multiple linear regression (SMLR) and random forest algorithm (RF). The SMLR ...

Abstract: The primary objective of this paper is to explore the spatial analysis of bikeshare ridership with a consideration of the diversity across different station categories using smart card data ...

To address this issue, we propose a graph geometric moments convolution neural network (GGM-Net), which learns local geometric features from geometric moments representation of a local point set. The ...

Master data science in 2025. Complete guide to machine learning, big data analytics, Python programming, statistical modeling ...

Predicting car prices using multiple linear regression. This project uses real-world automotive data to train a machine learning model capable of estimating car prices based on technical ...

And while prices for some goods such as oil and gas have come down — as Trump has repeatedly noted — economists say those data points overlook broader trends. Here’s what to know about ...

Machin Learning Full Algorithm (Linear Regression, Decision tree, Random forest, Neural network ,Logistic regression ,Support vector machine ,Naive Bayes ,Clustering ...

Mainstream measures have been slow to detect the impact of tariffs and uncertainty, leaving economists to scour earnings calls and private-sector data sources ... onto at this point,” said ...

On May 14, not long after the NFL draft was hosted for the first time on the hallowed grounds of Lambeau Field, the NFL will announce its schedule for the 2025 season. You can bet the Green Bay ...