Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Researchers have developed a new machine-learning-assisted approach to optimize micro-electro-discharge machining (µ-EDM) of ...

"Alpha Trend" combines deep reinforcement learning (DRL) with quantitative algorithms, integrating analytical tools such as moving averages, Bollinger Bands, and ATR to identify short-- to ...

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...

Objective Socioeconomic inequalities significantly impact access to healthcare services for individuals with type 2 diabetes mellitus (T2DM). This study investigates these inequalities in Iran, ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

This valuable study presents a technically sophisticated intravital two-photon calcium imaging approach to characterize Ca²⁺ dynamics in distinct populations of meningeal macrophages in awake, freely ...

New York, 27 January 2026 — United Nations Secretary-General António Guterres has appointed 15 leading experts to the Independent Expert Advisory Panel for the Multidimensional Vulnerability Index ...

Introduction Duplicate medical records occur when a single patient is assigned multiple medical record numbers within an ...

Learn everything you need to know about Dimensional US Core Equity 2 ETF (DFAC) and how it ranks compared to other funds. Research performance, expense ratio, holdings, and volatility to see if it's ...