IEEE

Quantifying Uncertainty in Gas-Bearing Prediction Using Multicomponent Seismic Data Derived From a Parallel Linked Bayesian Neural Network

Abstract: Longitudinal and converted shear wave seismic data depict unique and abundant seismic response characteristics of gas reservoirs and help to elucidate the multicomponent seismic attributes ...

Microsoft Builds A Compact AI Model That Decides When To Think

Microsoft's Phi-4-reasoning-vision-15B uses careful data curation and selective reasoning to compete with models trained on ...
IEEE

Multiscale Gaussian Process-Driven Graph Convolutional Neural Network for Polarimetric SAR Image Classification

Abstract: By focusing on the structure exploration and information propagation from non-Euclidean data space, graph convolutional neural network (GCN), which can extract abundant and discriminative ...