Neuroscience continually strives to unravel the intricate relationship between neural network morphology, spiking dynamics, and their resulting functional ...
Over the past decades, engineers have introduced numerous technologies that rely on light and its underlying characteristics. These include photonic and quantum systems that could advance imaging, ...
Meteor-M series are equipped with two imaging payloads. MSU-MR is a low-resolution instrument operating at visible-light and near-infrared wavelengths. It will take wide-angle images of the Earth to ...
Doing more with less in electronics often means improving power density. One of the new areas garnering attention involves applying a variety of advanced modulation techniques, including PWM and space ...
Abstract: A Convolutional Neural Network (CNN) is a highly utilized deep learning model in various domains, including computer vision and natural language processing. Disruption of the network ...
Holly has a degree in Medical Biochemistry from the University of Leicester. Her scientific interests include genomics, personalized medicine, and bioethics.View full profile Holly has a degree in ...
Abstract: This paper deals with discrete Fourier transform (DFT)-based modulation and demodulation techniques for affine frequency division multiplexing (AFDM), as opposed to using the discrete affine ...
The optical orthogonal frequency division multiplexing (OFDM) is proven to be a most promising technology for the next-generation high-capacity and ultra-wide bandwidth 5G communication systems. 60 ...
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