When two-dimensional electron systems are subjected to magnetic fields at low temperatures, they can exhibit interesting ...

Brain-inspired spiking neural networks bring real-time AI to edge devices, boosting performance, reducing power use, and ...

Alzheimer Syndrome Recognition using Deep Learning Approaches and Convolutional Neural Networks play a crucial role in Alzheimer's Syndrome diagnosis through MRI scan analysis. By utilizing a ...

Abstract: Deep Neural Networks (DNN) have realized significant achievements ... In this paper, we propose a state-vector aware test case selection method for RNN models, namely DeepVec, which reduces ...

FP has a very complex degradation process. Merging with Fourier transforms and pupil aperture scanning causes difficulty in reconstructing high-resolution images by the commonly used deep neural ...

Comparative Study of Pattern Recognition, Neural Networks, and Statistical Regression Approaches ... in the proposed methods is to infer the density functions of the feature vector in the relevant and ...

This high-performance, USB-powered vector network analyzer is in stock and available to Order Now. The 2-port, 40 GHz VNA400 utilizes a combination of high dynamic range and ultra-fast measurement to ...