At its very core, machine learning is an advanced means of making sense of massive amounts of data, and for this reason, machine learning and monitoring should go hand-in-hand. With the ability to ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Aliso Viego, California-based Sentrian's remote patient monitoring program has been in a pilot with COPD patients at Anthem subsidiary CareMore for about six months, Sentrian founder and Chief Medical ...

If you feel like you need eyes in the back of your head, there’s a crowdsourcing app for that. Zensors is a smartphone application that can monitor an area of interest by using a camera, crowdsourced ...

Ali Abedi (center) and the wireless soil moisture sensor with graduate student Kenneth Bundy (left) and local high school teacher Ed Lindsey (right). Monitoring soil moisture is an important component ...

In a recent article posted to the medRxiv* preprint server, researchers evaluate the predictive value of a multidimensional machine learning (ML) approach for monitoring the progression of Alzheimer’s ...

Researchers at the University of Lisbon in Portugal have developed a machine learning algorithm that classifies and predicts inverter failures in utility scale PV plants. The new algorithm monitors, ...

This 25-page handbook is written in a question-and-answer style and is a good starting point in understanding M&E. It provides an overview of some of the basic questions of project monitoring and ...

Overview: AI-driven precision farming enables real-time crop monitoring using data from sensors, satellites, and drones to improve decision-making.Smart crop mo ...

The Transaction Monitoring in Fintech Market is expanding as fintech firms deploy AI- and ML-driven systems to combat fraud and meet compliance demands, with the U.S. segment growing from USD 1.98 ...