Chinese artificial intelligence start-up DeepSeek has ushered in 2026 with a new technical paper, co-authored by founder Liang Wenfeng, that proposes a rethink of the fundamental architecture used to ...

Linear and logistic regression models are essential tools for quantifying the relationship between outcomes and exposures. Understanding the mathematics behind these models and being able to apply ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Abstract: This article proposes a data-driven linear parameter variation model predictive control (DDLPVMPC) method for unknown nonlinear (NL) systems. The approach eliminates reliance on prior ...

Abstract: The fractional order Cole models are the most common form of electrical equivalent circuits (EEC) to model complex impedance (Z) of various dielectric materials like electrodes, sensors, ...

Addictive disorders are a group of disorders that can cause physical and psychological damage. Receiving treatment is essential for breaking the cycle of addiction. However, as a chronic disease, ...

This repository provides code, dataset usage instructions, and trained model from our paper "TSalV360: A Method and Dataset for Text-driven Saliency Detection in 360-Degrees Videos", written by ...

AutoJudge is a machine learning–based system that predicts the difficulty of programming problems using only their textual descriptions. It outputs both a difficulty class (Easy / Medium / Hard) and a ...