Abstract: Fault location and classification are crucial to the reliable and resilient operation of power distribution networks (PDNs). Current machine learning works cannot provide accurate and ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Abstract: Dynamic graph representation learning aims to generate low-dimensional latent vector representations of graphs or nodes at various time points from evolving graph datas, which are then used ...

A TechRadar article noted that nearly 90% of enterprise information (documents, emails, videos) lies dormant in unstructured systems. This "dark data" isn't just neglected; it's a liability. GenAI ...

I'd like to request the plot graph beta node (used with the Train LoRA beta node) doesn't scale on the y-axis which it currently does. It makes it very hard to compare previous/current runs against ...

There is a new sorting algorithm a deterministic O(m log2/3 n)-time algorithm for single-source shortest paths (SSSP) on directed graphs with real non-negative edge weights in the comparison-addition ...

What if your business planning platform could not only predict the future but also adapt to it in real time? Imagine a system that doesn’t just crunch numbers but actively collaborates with ...

In this comprehensive tutorial, we explore building an advanced, interactive dashboard with Taipy. Taipy is an innovative framework designed to create dynamic data-driven applications effortlessly.