Abstract: Attributed networks are prevalent in the current information infrastructure, where node attributes enhance knowledge discovery. Anomaly detection in attributed networks is gaining attention ...
Abstract: To ensure the safety of electrical drive systems, fault detection and diagnosis (FDD) has become an active approach over the past two decades. Multivariate analysis is a popular method in ...
This is an ideal task for anyone with some knowledge of Spring Boot, who is willing to spend 90 minutes testing our latest tutorial and providing their honest feedback about the instructions and tasks ...
The Priestly Society of St. Pius X, a traditionalist Catholic society that has experienced a troubled relationship with the church hierarchy since the 1970s, has been approved for a pilgrimage to the ...
LangGraph is a powerful framework by LangChain designed for creating stateful, multi-actor applications with LLMs. It provides the structure and tools needed to build sophisticated AI agents through a ...
To measure corporate culture, CultureX starts by compiling anonymous reviews submitted by employees to Glassdoor, a workplace-review website. For this project we focused on those written between ...
The comparison of floristic vegetation types on the basis of multiway contingency tables obtained by considering the properties of the species (structural, morphological, anatomical, chemical, ...
Sparse canonical correlation analysis (sCCA) has been a useful approach for integrating different high-dimensional datasets by finding a subset of correlated features that explain the most correlation ...
If you’re completely new to Microsoft Word, you’re probably wondering where to begin. You’ve come to the right place because we’ll get you started. From what you see in the Word window to how to save ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback