There is no doubt that the semiconductor industry is in an era of rapid and profound transformation, driven by an increasing ...
I’ve been teaching college Earth science courses as a part-time faculty member for a long time now, all while juggling other ...
Abstract: This paper addresses the interference suppression problem in frequency modulated continuous wave (FMCW) radars. We propose an unsupervised learning framework based on an autoencoder ...
Abstract: Cell-free massive multiple-input multiple-output (CF-mMIMO) surmounts conventional cellular network limitations in terms of coverage, capacity, and interference management. This paper aims ...
Unsupervised learning is a branch of machine learning that focuses on analyzing unlabeled data to uncover hidden patterns, structures, and relationships. Unlike supervised learning, which requires pre ...
ABSTRACT: Aiming at the problems of well-developed dominant seepage channels, prominent viscous fingering phenomenon, complex dynamic evolution of flow fields, and difficulty in fine characterization ...
R.F. Kuang has never shied away from ambitious storytelling. From the imperial critique of “Babel” to the literary satire of “Yellowface,” her novels combine social insight with an inventive narrative ...
ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...
Traditional cardiovascular risk assessment entails investigator‐defined exposure levels and individual risk markers in multivariable analysis. We sought to determine whether an alternative unbiased ...
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