AI-powered systems can help manage energy grids, building temperatures and predict weather to store and use energy more ...

As a condition of using these data, you must cite the use of this data set. Such a practice gives credit to data set producers and advances principles of transparency and reproducibility. Other ...

Terry Gerton But using crowdsourced data to navigate on the highway is very different from using it in a real-life military operation. Is there a process now that that kind of crowdsourced real-time ...

Experian analyzes the data and returns a predictive Cashflow Score or set of Cashflow Attributes to the lender in near real time. Consumer Report provides up to two years of historical data and ...

Abstract: The feature of multiple data sampling rates is among the most common natures in data-driven industrial process monitoring ... particularly for those real-time industrial applications.

Abstract: This article presents a novel method for measuring the mass flow rate of gas-liquid two-phase flow based on the multi-sensor data fusion and soft computing model. A multi-sensor system ...

One area that has been slow to adopt site-based electronic data is laboratory testing. Below we explore the current technology landscape for investigator sites to interact with central laboratories, ...

With AI-infused lineage tracking, teams can identify deviations in data flow indicative of malicious activity or unintentional exposure. Machine learning and real-time data processing frameworks ...