Abstract: In this paper, we consider the problem of jointly controlling the configuration of a Reconfigurable Intelligent Surface (RIS) with unit elements of discrete responses and a codebook-based ...
Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...
Network recon framework. Build your own, self-hosted and fully-controlled alternatives to Shodan / ZoomEye / Censys and GreyNoise, run your Passive DNS service, build your taylor-made EASM tool, ...
Physics-Constrained Neural Network-Based Compact Modeling of Displacement Damage for AlGaN/GaN HEMTs
Abstract: This article proposes a physics-constrained neural network (PCNN) framework to model displacement damage-induced degradation in AlGaN/GaN high-electron-mobility transistors (HEMTs). The ...
Learn how forward propagation works in neural networks using Python! This tutorial explains the process of passing inputs through layers, calculating activations, and preparing data for ...
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