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 ...

Official code of the paper 4D-OR: Semantic Scene Graphs for OR Domain Modeling (https://link.springer.com/chapter/10.1007/978-3-031-16449-1_45) published at MICCAI ...

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 ...

In distributed computing a certification scheme consists of a set of states and conditions over those states that enable each node of a graph to efficiently verify the correctness of a solution to a ...

We live in an era of constant surveillance. Psychology research shows how this might change how we perceive the world — even unconsciously When you purchase through links on our site, we may earn an ...

Download the full document here: No. 25-987, Multi-Domain Operations Range Guide for Company Grade through Field Grade Leaders (Apr 25) [PDF - 4.1 MB] Multi-Domain Operational (MDO) lessons learned ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Multidomain attacks are on the verge of ...

Large Language Models (LLMs) have revolutionized artificial intelligence applications across various fields, enabling domain experts to use pre-trained models for innovative solutions. While LLMs ...

Graph-based methods have become increasingly important in data retrieval and machine learning, particularly in nearest neighbor (NN) search. NN search helps identify data points closest to a given ...