Though pinworm infestation has been prevalent since the early years of laboratory animal medicine, the genomes of these parasites have not yet been sequenced. The authors used high-fidelity polymerase ...

Abstract: A vast amount of textual and structural information is required for knowledge graph construction and its downstream tasks. However, most of the current knowledge graphs are incomplete due to ...

Its in-house assistant Tori is already being used by about 85% of 1,500 agents. Vietnam-based Techcom Life Insurance Company Limited is building an artificial intelligence (AI)-first operating model ...

Abstract: Recently, graph anomaly detection on attributed networks has attracted growing attention in data mining and machine learning communities. Apart from attribute anomalies, graph anomaly ...

Work smarter not harder is an ethos which applies to many things, with bakery production among them. Bakeries across the nation are increasingly looking to modernise and enhance their operations by ...

Log-based anomaly detection is critical in monitoring the operations of information systems and in the realtime reporting of system failures. Utilizing deep learning-based log anomaly detection ...

Transform Excel tabular data into professional Graphviz diagrams — directly in a spreadsheet. The Relationship Visualizer is a powerful, free Excel tool that turns row-based data (org structures, ...