Abstract: MPC has gained popularity for its ability to satisfy constraints and guarantee robustness for certain classes of systems. However, for systems whose dynamics are characterized by a high ...

More than half of transplant recipients in a large analysis developed chronic graft-versus-host disease, and 15% died from causes other than cancer relapse. Those numbers capture the uneasy truth of ...

JPLoft advances enterprise automation with intelligent AI agents that streamline operations, enhance decision-making, ...

Strong predictive signals don't automatically translate into investable strategies, especially at institutional scale.

The other is to invest in high-fidelity digital twins which are deemed to be powerful but costly, data-hungry, and often slow to implement. A practical middle ground is emerging: the disruption-aware ...

Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...

This article examines how institutions move beyond AI hype and embed AI into operational workflows in ways that create ...

Schulman, Ph.D. More than 7 million Americans are living with Alzheimer’s disease, and this number is projected to rise to nearly 13 million by 2050. By this estimation, health and long-term care ...

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 ...

AI-driven predictive technology is reshaping warehouse safety. From smart cameras and sensors to wearables and VR training, new tools are helping managers detect risks early, prevent injuries, and ...

Results: The MIMIC-IV and eICU-CRD datasets comprised 6129 and 709 patients, respectively, who were included in the analysis. Fifty-four features were selected to construct the predictive model.

Landslides are one of the most prevalent natural geological disasters, causing significant economic losses, damaging public environments, and posing severe threats to human lives. Landslide ...