Objectives Elective non-emergent surgical wait times have increased across countries such as Canada, straining operating room ...

Why can two fields managed in exactly the same way differ so dramatically in nutrient efficiency, crop resilience or fertiliser response?  That’s what ...

As AI transforms learning and work, Saikat Majumdar argues ethics, inequality, and human relationships—not technical skills ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

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

Abstract: Data clustering is a fundamental machine learning task that seeks to categorize a dataset into homogeneous groups. However, real data usually contain noise, which poses significant ...

Abstract: K-means is one of the most simple and popular clustering algorithms, which implemented as a standard clustering method in most of machine learning researches. The goal of K-means clustering ...