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.

Abstract: This paper proposes a predictive techno-economic analysis in terms of voltage stability and cost using regression-based machine learning (ML) models and effectiveness of the analysis is ...

a notebook-first introduction to QSVT and QSP a reusable Python package for polynomial design, spectral transforms, and small PennyLane QSVT checks where the backend can synthesize the transform ...

Abstract: Estimation of State-of-Charge (SoC) of a battery pack is an essential function of Battery Management System in Electric Vehicles. This letter proposes a hybrid dual-stage estimation approach ...

Nowadays, the deep learning methods are widely applied to analyze and predict the trend of various disaster events and offer the alternatives to make the appropriate decisions. These support the water ...

This procedure estimates fractional polynomial models with a variety of link functions. Controls are available to limit the degree of the polynomial. IBM SPSS Statistics 18 or later, the corresponding ...

Alzheimer’s dementia (AD) is a chronic neurodegenerative illness that manifests in a gradual decline of cognitive function. Early identification of AD is essential for managing the ensuing cognitive ...