piecewise-regression (aka segmented regression) in python. For fitting straight line models to data with one or more breakpoints where the gradient changes. APLR builds predictive, interpretable ...

This work integrates microfluidic technology to demonstrate a one-step fabrication of aptamer-conjugated emodin liposomes via a novel micromixer, achieving efficient production and effective therapy ...

As semiconductor technologies advance, device structures are becoming increasingly complex. New materials and architectures introduce intricate physical effects requiring accurate modeling to ensure ...

Abstract: Due to its heavy-tailed and fully parametric form, the multivariate generalized Gaussian distribution (MGGD) has been receiving much attention in signal and image processing applications.

Please note that sometimes github doesn't load the .ipynb file or use a incorrect diagram for a matrix, feel free to download it and use in your own reader The aim of ...

Abstract: In this paper, a multi-dimensional holomorphic embedding method (MDHEM) is developed to solve three-phase unbalanced power flow in AC-DC hybrid distribution systems (DSs). According to the $ ...

In longitudinal studies variables are measured repeatedly over time, leading to clustered and correlated observations. If the goal of the study is to develop prediction models, machine learning ...

This work is divided to two parts; the first part analyzes the features of Hénon–Heiles’s potential and finding the energy levels for bounded and unbounded motions. The critical points are explored in ...

Multivariate panel data of mixed type are routinely collected in many different areas of application, often jointly with additional covariates which complicate the statistical analysis. Moreover, it ...