Cognition-driven design of RF and microwave circuits is an emerging and promising approach to efficient design optimization of computationally expensive fine models. Existing techniques for ...

The accurate measurement of water cut and total flow rate in oil–water two-phase flow is crucial for effective oilfield management, particularly in high water-cut environments. The inherent complexity ...

These applications either necessitate the use of high-speed sampling with high-speed serial readout or the use of non-serialized parallel data, as provided by the MAX22195, an industrial digital input ...

Caltrans is inviting the public to help choose the aesthetic theme for a major bridge replacement project along Interstate Highway 5 in Stockton.

Spin as an input parameter: Machine learning predicts magnetic properties of materials by Lauren Smith, Carnegie Mellon University Chemical Engineering edited by Gaby Clark, reviewed by Robert Egan ...

Manual parameter selection remains industrial practice despite being excessively laborious and limited by expert experience. To address this issue, we present CROP, the first large language model (LLM ...