For more than half a century, materials scientists have struggled with how to simulate the complexity of polymer materials.

A surprisingly easy way to multiply an AI model’s profit is to drive decisions via expected value instead of predictive scores. Here's how, illustrated with fraud detection.

On first launch, you'll see a welcome screen where you can choose how intense you want your experience to be. Don't worry - you can always change settings later!

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 ...

A Functional Mock-up Unit (FMU) implementation for a rigid wing sail, compatible with FMI 3.0 standard. This FMU models the aerodynamic behavior and actuator dynamics of a sail wing and is designed to ...

Abstract: A dual-mode model predictive control (MPC) strategy is tailored for a networked control system (NCS) operating in a constrained environment that is vulnerable to additive disturbances as ...

New body camera video is shedding light on the moments after a student was sexually battered on the campus of Florida Memorial University earlier this year and after a suspect was arrested in the ...

GASTONIA, N.C. -- Playing its second elimination game on Saturday night, seventh-ranked and second-seeded Francis Marion University was unable to overcome a six-run fourth inning by No. 2-ranked and ...