Estimating crop yields before harvest, often known as yield estimation, is difficult. Our technique predicts agricultural yields using publicly available remote sensing data in a scalable ... can be ...

This code example demonstrates how to run through the ModusToolbox™ machine learning ... If using the ModusToolbox™-ML configurator tool, the same regression data is streamed over the UART. The ...

Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, United Kingdom Cambridge Centre for Advanced Research and Education in Singapore, CARES Ltd., 1 CREATE ...

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.

"The big picture is that we use a machine learning model to learn what 'normal' looks like for each cavity," Ferguson said. "Then, by continuously comparing new data to that baseline, the system ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

Department of Electronics and Computer Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram Guntur 522302, Andhra Pradesh, India Department of Electronics and Instrumentation Engineering, ...

Abstract: Machine learning (ML) is ever more frequently used as a ... In this article we propose the use of binary decision diagrams (BDDs) as an interpretable ML model. BDDs can be deemed as ...