Abstract: Homomorphic encryption (HE) allows computations on encrypted data without compromising data privacy, making it ideal for scenarios like privacy-preserving computing. The primary bottleneck ...

Understanding the benefits of matrix converters for EV chargers and a comparison of different matrix converter topologies.

This brute-force scaling approach is slowly fading and giving way to innovations in inference engines rooted in core computer ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

Abstract: In addressing the three-station time difference of arrival localization problem for terrestrial and sea surface targets, this study exploits the correspondence between z in the geodetic ...