Abstract: A design method of frequency selective surface (FSS) based on convolutional neural networks (CNN) is proposed in this paper. The approach employs a deep CNN to predict $\mathrm{S}_{21}$ ...

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

Fox News Digital continued its dominance over other news brands in key metrics throughout the month of October, according to the latest Comscore data. Last month, Fox News Digital reached nearly 1.8 ...

Department of Computing, Imperial College London, London SW7 2AZ, U.K. Sargent Centre for Process Systems Engineering, Imperial College London, London SW7 2AZ, U.K. Department of Computing, Imperial ...

ABSTRACT: In modern broadband communication systems, radio frequency power amplifiers suffer from severe nonlinear distortion and memory effects. To accurately analyze the impact of their ...

The deployment of Spiking Neural Networks (SNNs) on resource-constrained edge devices is hindered by a critical algorithm-hardware mismatch: a fundamental trade-off between the accuracy degradation ...

Background Colonoscopy is a crucial method for the screening and diagnosis of colorectal cancer, with the withdrawal phase directly impacting the adequacy of mucosal inspection and the detection rate ...

ABSTRACT: This paper introduces a method to develop a common model based on machine learning (ML) that predicts the mechanical behavior of a family with three composite materials. The latter are ...

Department of Applied Physics, Lanzhou University of Technology, Lanzhou, Gansu 730050, China College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou, Gansu 730070, China ...