A neural network is a machine learning model originally inspired by how the human brain works (Courtesy: Shutterstock/Jackie Niam) Precision measurements of theoretical parameters are a core element ...
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Emerging neuromodulation techniques for treatment-resistant obsessive-compulsive disorder
In a peer-reviewed article published today in Brain Medicine, a European research team presents a focused review of emerging neuromodulation techniques for treatment-resistant obsessive-compulsive ...
Abstract: This article proposes an online backflow power minimization (OBPM) modulation for single-stage single-phase high-frequency link rectifier (HFLR). The HFLR topology consists of a ...
Abstract: Three-phase current source inverters (CSIs) generate common-mode voltage (CMV) due to rapid switching, which can cause insulation degradation, motor bearing wear, and electromagnetic ...
This repository contains the Verilog HDL code for a 1-bit Full Adder, along with its testbench and simulation files. The project emphasizes using a lightweight, open-source workflow based on Icarus ...
This repository presents a project that explores the realm of Predictive Maintenance, focusing on assessing the reliability of a hybrid Markov model compared to traditional models. The objective is to ...
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