Although automated machine learning platforms demonstrate potential for diabetic retinopathy screening, substantial performance variability highlights the need for careful platform selection and ...
Abstract: Classification tasks have long been a central concern in the field of machine learning. Although deep neural network-based approaches offer a novel, versatile, and highly precise solution ...
Abstract: This letter presents a novel wideband active load—pull (LP) system that leverages vector network analyzer frequency extenders (VNA-EXTs) for precise millimeter-wave (mmW) device ...
In the late 2000s, “mobile-first” emerged as a design discipline. The argument was a single sentence: don’t design for the big screen and squeeze it down. Start with the small screen, the harder ...
We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...
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