The work, reported by IEEE Spectrum, revolves around modifying a standard laboratory instrument, the vector network analyzer ...
A new chip-scale spectrometer challenges the long-standing reliance on bulky optical systems by replacing physical light ...
A new study by scientists in the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) shows that when a ...
The simplicity of a hydrogen atom makes it an ideal model for studying atomic structure and interactions. Yet, despite the ...
Detection of Wire Lift-off in Si-IGBTs and SiC-MOSFETs Using Machine Learning on Switching Waveforms
Abstract: Power cycling degradation in power modules is one of the most common failure modes in power electronic systems. This study presents a method to detect wire lift-off using machine learning ...
Abstract: This article explores the impact of interference and intrusion on the performance of target object detection and range measurement in an interference-prone radio detection and ranging (RADAR ...
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