XL, dynamic interest modeling, and distributed stream computing to analyze large-scale e-commerce user behavior. By improving long-sequence prediction, real-time processing, and behavioral clustering, ...

Introduction National essential medicines lists (NEMLs) guide medicine selection and procurement and are key tools for ...

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

A president orders the onset of hostilities — war — without authorization of Congress and without much in the way of making a case with the public. His troops win important victories and decapitate ...

aDepartment of Surgery, Regional Academic Cancer Center Utrecht, UMC Utrecht Cancer Center & St Antonius Hospital Nieuwegein, Utrecht University, Utrecht, Netherlands bDepartment of Medical Oncology, ...

Abstract: For radar signal sorting based on pulse descriptors, the inherent limitations of the traditional K-means algorithm include the requirement of a predefined number of clusters, the sensitivity ...

Abstract: This research focuses on the implementation of quantum machine learning with the classical models such as Gradient Boosting and K-means clustering for efficient classification and clustering ...