Abstract: Shape control of deformable linear objects (DLOs) is a major challenge in robotics due to their high-dimensional, nonlinear dynamics and sensitivity to boundary conditions. Existing ...

Abstract: This article presents a hybrid model predictive controller to ensure dc microgrid stability and enhance the performance of dc-dc boost converters interfaced with constant power loads (CPLs) ...

It will use an AI model trained on clinical notes to help staff decide whether children may need emergency care.

Imagine a future where the same technology critics blame for massive energy use becomes the catalyst for a cleaner, more resilient world. That future is closer than we think.

Researchers hope to adapt a successful Hong Kong injury-prediction model using the Horseracing Integrity and Safety Authority ...

Predictive-Analytics-Using-Historical-Data This project demonstrates predictive analytics using historical insurance customer data. It involves data preprocessing, label encoding, training a Random ...

Summary A predictive maintenance model that processes data at high speed supports faster decision-making and real-time ...

Architecture delivery. The stories were vehicles; the real payload was a way of organizing experience into causal, moral, and ...

Methods: In this retrospective cohort study, we achieved model development and performance comparison on the eICU Collaborative Research Database (eICU-CRD). We extracted data during the first 24 ...

Venture investors poured more than $3 billion into world model startups in 2026, betting AI that can simulate the physical ...

From AI patient selection and custom implants to bone health and the freehand-skills debate, here are the 10 themes shaping the next six months for spine surgeons.