IEEE

Physics-Informed Neural Network-Based Open Set Classification of Neighboring Vehicle Motion for Decision-Making in Autonomous Driving

Abstract: In this paper, a method for inferring the motion intentions of a neighboring vehicle ahead of an ego vehicle using a physics-informed deep neural network-based open-set classification ...
eLife

Human EEG and artificial neural networks reveal disentangled representations and processing timelines of object real-world size and depth in natural images

Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...
IEEE

Spatial-Spectral Contrastive Graph Neural Network for Few-Shot Hyperspectral Image Classification

Abstract: Graph Neural Networks (GNNs) have emerged as a promising solution for few-shot hyperspectral image (HSI) classification. However, existing GNN-based approaches face critical limitations in ...
Yahoo

CNN Data Guru Reveals Trump Voters Just Don’t Love Him as Much Anymore

There are signs that Donald Trump voters and Republican lawmakers are not as staunchly devoted to the president as they once were, CNN’s data guru reveals. Harry Enten, the network’s chief data ...
CNN

The real estate industry is pressuring Zillow and other sites to nix extreme weather risk data buyers have come to rely on

Zillow, the nation’s largest real estate listing website, has removed extreme weather risk data meant to help buyers figure out if the biggest purchase of their life is particularly susceptible to ...
Frontiers

Hyperspectral inversion model of ginkgo leaf yield prediction based on machine learning

Introduction: The yield of ginkgo biloba leaves serves as a critical indicator for assessing their growth and health status. However, current assessment methods primarily rely on manual harvesting and ...