Abstract: In the process industries, nonlinear and large time-delay systems pose significant challenges for efficient model predictive control (MPC). The advent of deep learning offers innovative ...

Objectives The development of simple tools to identify individuals at high risk of coronary heart disease (CHD) would enable rapid implementation of preventive measures. This study was designed to ...

This video demonstrates the drive mode selection control in the Tesla Model 3, focusing on how drivers can switch between modes such as Chill, Standard, and Sport. The walkthrough covers the interface ...

Asan Medical Center has introduced an advanced version of its elderly frailty score, which can now predict more risks associated with hospitalisation. The Acure Geriatric Risk Scale builds on the ...

When patients are prescribed complex therapies — like specialty drugs, cell and gene treatments, or high-cost biologics — the path to treatment is rarely straightforward. Filling a prescription can ...

Reply to: Recalibrating Digital Predictions: Uncovering the Limits of the MMAI Prostate LT-ADT Predictive Model in the Era of Tumor Evolution The following represents disclosure information provided ...

The global energy sector is undergoing a transformation, with the electric grid expanding to accommodate an increasing number of assets, including solar arrays, wind farms, batteries, electric ...

The air conditioner compressor motor driver as shown in Fig.1 utilizes advanced model-free predictive control technology, ensuring efficient and stable operation under varying load conditions.

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this research work authors have experimentally validated a blend of Machine ...

Google DeepMind on Tuesday released a new language model called Gemini Robotics On-Device that can run tasks locally on robots without requiring an internet connection. Building on the company’s ...