Abstract: Because of their transparency, interpretability, and efficiency in classification tasks, decision tree algorithms are the foundation of many Business Intelligence (BI) and Analytics ...

Enterprises face key challenges in harnessing unstructured data so they can make the most of their investments in AI, but several vendors are addressing these challenges.

Seoul National University Hospital researchers have developed an AI model that predicts the response to an anticonvulsant ...

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

Spatiotemporal Evolution Patterns and Intelligent Forecasting of Passenger Flow in Megacity High-Speed Rail Hubs: A Case ...

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

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Biologists are quietly rewriting what it means to be alive, and the human body has become one of their strangest frontiers.

Call Y-chromosome haplogroups from BAM files mapped to either hg37 or hg38 Use either ISOGG, yFull or FamilyTreeDNA (FTDNA) Y-SNP trees Apply an optional ancient DNA (aDNA) damage filter Plot ...

Abstract: Phishing schemes remain a critical cybersecurity challenge due to their growing complexity and financial impact. In this study, we evaluate the performance of Decision Tree, XG-Boost, Neural ...