Observing ultrafast magnetic domain changes at the nanoscale with soft X-rays

Scientists at the Max Born Institute have developed a new soft X-ray instrument that can reveal dynamics of magnetic domains ...

Jujutsu Kaisen: 10 Most Powerful Domain Expansions Ranked

Domain Expansion is the most powerful technique in Jujutsu Kaisen, so here’s a ranking of the 10 best among them.

Iron-based magnetic material achieves major reduction in core loss

A research team from NIMS, Tohoku University and AIST has developed a new technique for controlling the nanostructures and ...
GitHub

Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation (WWW 2024)

This is a PyTorch implementation of the GraphCTA algorithm, which tries to address the domain adaptation problem without accessing the labelled source graph. It performs model adaptation and graph ...
EurekAlert!

Breakthrough iron-based magnetic material achieves major reduction in core loss

A research team from NIMS, Tohoku University and AIST has developed a new technique for controlling the nanostructures and ...
IEEE

Graph-Frequency Domain Kalman Filtering for Industrial Pipe Networks Subject to Measurement Outliers

Abstract: This article is concerned with the outlier-resistant state estimation problem for industrial pipe networks (PNs). PN signals, e.g., pressure and temperature, are modeled as low-pass ...

RAG That Works : Mix Keyword, Graph, and SQL for Accurate Answers

Cut hallucinations with tailored retrieval plans. We cover tag filters, hybrid ranking, and API calls to handle exact IDs and ...
IEEE

Feature Mutual Representation-Based Graph Domain Adaptive Network for Unsupervised Hyperspectral Change Detection

Abstract: Recently, deep neural networks (DNNs) have been widely used in hyperspectral image change detection (HSI-CD). Generally, training such a DNN-based HSI-CD network often requires a large ...