The experimental results demonstrated that the use of the AdaBoost algorithm from machine learning for the mobile ultrasonic stratified flow velocity measurement device was feasible and effective.

This code example demonstrates how to run through the ModusToolbox™ machine learning (ModusToolbox™-ML) development flow with PSoC™ 6 MCU ... The following figure shows the communication sequence ...

Discover how the Asus Flow 13 delivers desktop-level power in a portable laptop, perfect for local AI, machine learning and ...

Matlab AI Analytics Suite 2025 provides a comprehensive set of AI plugins, scripts, and templates designed to enhance data analysis, mathematical modeling, and machine learning workflows in Matlab.

Explore use of machine learning in supply chain logistics, including how machine learning can benefit your supply chain ...

The prediction of long-term outcomes in ischemic stroke patients may be useful in treatment decisions. Machine learning techniques are being increasingly adapted for use in the medical field because ...

Abstract: In the proton exchange membrane fuel cell (PEMFC), both air flow and cathode pressure affect the output ... To facilitate this method, this work combines meta-reinforcement learning with ...

However, they are difficult to estimate reliable dense flow, especially in the regions without any triggered events. In this paper, we propose a novel deep learning-based dense and continuous optical ...

We aimed to assess the association between deep learning-derived cardiac chamber volumes (right atrial, right ventricular, left ventricular, and left atrial) and mass (left ventricular) from these ...