Art authentication is no longer just about the trained eye—it’s now a high-stakes blend of science, history, and cutting-edge ...

A new algorithm opens the door for using artificial intelligence and machine learning to study the interactions that happen ...

Unlike traditional databases, knowledge graphs organize information as nodes and edges, making them better for AI systems that reason & infer.

Korea Institute of Civil Engineering and Building Technology has successfully developed a real-time, low-cost algal bloom monitoring system utilizing inexpensive optical sensors and a novel labeling ...

Nowadays, many classification algorithms are used to detect the community, but its accuracy can't meet the requirements. SVM, which is related to statistical learning theory and has a series of ...

Abstract: Attribute graph embedding algorithms based on graph neural networks aggregate information about the neighborhood of a target node to update the embedding of the target node, i.e.

Return any data that is marked for return to a calling (outer) environment. An instruction graph is able to express any algorithm. This interpreter executes the instruction graphs algorithm within a ...

A benchmarking toolkit for comparing Kruskal's and Prim's minimum spanning tree algorithms across various graph configurations, with visualization tools and performance analysis reports. A ...

The predictive model also incorporates an improved fruit fly optimization algorithm (IFOA) in conjunction with support vector machine (SVM) techniques. The actual instances of lost circulation serve ...