The project is described by its creators as a universal swarm-intelligence engine designed to run large-scale simulations in order to explore possible future scenarios. Instead of relying on a single ...

A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...

Abstract: Sensor-less Model Predictive Direct Torque Control (MPDTC) scheme using a Sliding Mode Observer (SMO) for speed and electrical angle estimation and an Adaptive Disturbance Observer (ADO) for ...

Significant Risks and Responsibilities in the Clinical Use of AI Predictive Models. Comment on: “AI Predictive Model of Mortality and Intensive Care Unit Admission in the COVID-19 Pandemic: ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...