A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in ...
Abstract: This paper proposes a frequent pattern data mining algorithm based on support vector machine (SVM), aiming to solve the performance bottleneck of traditional frequent pattern mining ...
Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
Your blueprint for better Python architecture. pattern_kit is a developer-friendly Python library offering clean, idiomatic implementations of common software design patterns. It focuses on real-world ...
The authors do not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and have disclosed no relevant affiliations beyond their ...
Abstract: Partial discharge (PD) pattern recognition plays a critical role in cable insulation diagnosis. This paper proposes an intelligent PD pattern recognition method: by analyzing noise ...
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