Five types of data patterns, which have different magnitudes of EMI-related frequency, are forced to transmit repeatedly and the dependency on radiated emission are measured. As well, three DRAM chips ...

In this article, we investigate a data-driven approach to the design of an unknown-input observer (UIO). Specifically, we provide necessary and sufficient conditions for the existence of a UIO for a ...

The concept design and definition stage is about ensuring your connected medical device is strategically sound. By Bill Betten, S3 Connected Health This is the second installment in my series offering ...

Since President Donald Trump took office, promising mass deportations, many have been trying to assess exactly how dramatically immigration enforcement has changed in Washington state. Yes ...

One such effort is detailed in Optimization of Highways Engineering Design Data-Driven Decision Support Based on Machine Learning Algorithm, a recent publication that explores how data can be used to ...

Although the one-step separation of ethylene from C2 hydrocarbons remains a significant challenge, one-step C2 separation provides a revolutionary breakthrough in cost savings and efficient energy ...

White House economist backs Trump firing Labor stats head, hits 'partisan pattern' in jobs data: 'Propaganda' Kevin Hassett supports firing BLS chief citing partisan job data pattern ...

Updated Aug. 2 with news that the battery images were not for the iPhone 17 Air but the iPhone 17 Pro — here’s what that means.

Despite facing challenges due to limited data availability, we trained the model using the sparse data for micellar catalysis and curated closely related information from traditional organic solvents, ...

A recent study published in the International Journal of Digital Earth offers the first city-level analysis of urban sustainability trends across over 7,000 urban centers in the Belt and Road ...

AI‑powered urban design promises faster, data‑driven city layouts According to the study, current approaches suffer from major shortcomings across five domains: theory, methodology, data, computation, ...