Quadratic regression extends linear regression by adding squared terms and pairwise interaction terms, enabling the model to capture non-linear structure and predictor interactions. The article ...

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

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

In one instance, to further enhance output voltage swing and linearity, the authors propose a novel “breakdown-voltage (BV) ...

New deep-learning framework reconstructs hourly PM2.5 chemical composition using air-quality and meteorological data ...

Out-of-hospital cardiac arrest, or OHCA, is a leading cause of mortality worldwide and 90% of cases are fatal. Patients lose cardiac function and circulation, and every minute they remain untreated ...

Finance - A material prepared by Alexandru Petrescu, the President of the Financial Supervisory Authority (ASF), together ...

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 ...

Introduction Ensuring free access to essential medicines is a cornerstone of universal health coverage, yet many countries ...

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 ...

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

AI agents help businesses stop guessing — linking predictions to actions so teams can move from “what might happen” to ...