Senate Republicans are still deeply divided over how to cut the cost of the so-called big beautiful bill. Proposals to eliminate taxes on tips and overtime remain a sticking point.

Therefore, direct exploration of deep learning tree species classification models based on point clouds holds significant research implications. The classification task based on multilayer perceptron ...

In this paper, we propose an end-to-end framework for EEG classification that integrates power spectral density (PSD) and visibility graph (VG) features together with deep learning (DL) techniques.

Revisions to classification criteria ‘will ensure homogeneous trial populations’ with data-driven scoring, a standardized MRI protocol, and 90% specificity.

Achieving accurate 3-D environment perception is a key task in the field of remote sensing. Multispectral point cloud has rich integrated 3-D spatial–spectral information, which provides a data basis ...

Dual challenges of computational efficiency and representation effectiveness exist in processing point clouds. Inspired by the TDA (Topological Data Analysis), we propose to convert the point cloud to ...

Discovery of Spin-Crossover Materials with Equivariant Graph Neural Networks and Relevance-Based Classification ...

Add a description, image, and links to the graph-level-classification topic page so that developers can more easily learn about it ...

Abstract It is well established that Nash equilibrium exists within the framework of mixed strategies in strategic-form non-cooperative games. However, finding the Nash equilibrium generally belongs ...